775 Econometrics Jobs - Page 12

We are seeking a talented individual to join our Investment team at Mercer. This role will be based in Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office. Specialist – Investment Strategy & Research We are seeking a highly motivated individual to support the growth of our OCIO Portfolio Intelligence business. This is an excellent opportunity for someone looking to gain experience in investment consulting and portfolio analytics for Insurance and DB pension scheme clients. The role may also appeal to candidates currently working in Fiduciary Management, but seeking a new opportunity, or candidates with a strong investment background and technological expertise. The successful candidate will be a key member of the Portfolio Intelligence Team responsible for designing and implementing leading investment analytics tailored to each client using Mercer’s best ideas. This is a rewarding position within a dynamic and expanding team. Key Responsibilities: Develop, maintain, and enhance quantitative models to improve client offerings. Lead automation initiatives to streamline processes. Collaborate with stakeholders to identify client needs and create solutions. Work with global teams to implement efficient, high-quality strategies. Provide technical insights to support client strategies. Model financial risks and review regular risk reports. Create pitch materials for potential clients. Qualifications: Intermediate experience in Python, SQL, Excel, and VBA is a strong plus. Proven experience in automation and data wrangling. Strong desire to design structured and efficient solutions. Excellent analytical skills with a keen attention to detail. Basic understanding of financial instruments, including fixed income, equities, and funds. Ability to work independently and lead processes to meet deadlines. Master’s or Bachelor’s degree in Finance, Financial Engineering, Quantitative Finance, or a related quantitative field. Familiarity with standard risk measurement and management metrics for portfolios. Background in portfolio management, construction, and basic econometrics/statistical modeling is preferred but not required. What Sets You Apart: Adaptable communicator and problem solver. Strong communication and content writing skills. High attention to detail. Why Join Us: We support your growth through professional development, engaging work, and supportive leadership. We promote a vibrant, inclusive culture where you can collaborate with talented colleagues to create impactful solutions. Our scale offers diverse career opportunities and benefits to enhance your well-being. Mercer believes in building brighter futures by redefining the world of work, reshaping retirement and investment outcomes, and unlocking real health and well-being. Mercer’s more than 20,000 employees are based in 43 countries and the firm operates in over 130 countries. Mercer is a business of Marsh McLennan(NYSE: MMC), the world’s leading professional services firm in the areas of risk, strategy and people, with more than 85,000 colleagues and annual revenue of over $23 billion. Through its market-leading businesses including Marsh, Guy Carpenterand Oliver Wyman, Marsh McLennan helps clients navigate an increasingly dynamic and complex environment. For more information, visit mercer.com. Follow Mercer on LinkedInand X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description Job Description: The ideal candidate would be adept at understanding customer's business challenges and define appropriate analytics approach to design solution Should be able to convert mathematical/ statistics-based research/ academic literature into sustainable data science solutions This is a hands-on role, will be required to manage day to day delivery activities in executing analytics projects by analysing large volume of data Should have familiarity on solutions in core functional areas related to Promotion Effectiveness, Digital Marketing, Customer Relationship Management (CRM), Campaign Management & Data Insights etc. Evolve the approach for the application of machine learning/deep learning to existing program and project disciplines He / She would also be responsible for creating Business & technical presentations, reports etc. to present the analysis findings to the end clients and for business development This role requires excellent communication skills Must Have: Hands on experience in exploratory data analysis, A/B testing, Campaign Measurement and model building (end to end), customer Analytics, Loyalty and Promotions1-2 years in hospitality industry Tools: Databricks, Python, SQL, Experience on AWS platforms/Azure Excellent communication skills, both oral and written.Functional/Domain Experience:Good exposure to hospitality industry and their datasets Relevant Experience: 5+years of hands-on experience in Data Science Qualifications Educational Criteria:Masters in Statistics/Mathematics/Economics/Econometrics from Tier 1 institutions OrMBA from Tier 1 institutions – Preferred

Senior Data Scientist Hyderabad, Telangana, India Date posted Jul 08, 2025 Job number 1844017 Work site Microsoft on-site only Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Data Science Employment type Full-Time Overview Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. We are looking for a Senior Data Scientist to join our Detection Engineering team and lead the development of AI/ML models that enhance the efficiency and impact of Microsoft’s Security Operations Center (SOC). In this role, you will drive the design and optimization of scalable, data-driven solutions that transform massive security signal data into actionable intelligence. You’ll bring deep technical expertise to guide model architecture, platform integration, and best practices in security engineering, while collaborating closely with analysts, responders, and engineers to align on goals, scope, and strategy. Beyond technical leadership, you’ll continuously evolve our advanced detection frameworks to improve accuracy, reduce false positives, and stay ahead of emerging threats. You’ll mentor early-in-career engineers, foster a culture of learning and innovation, and contribute to a strong, inclusive team environment grounded in Microsoft’s values. If you’re passionate about applying data science to real-world security challenges and thrive in a fast-paced, mission-driven space, we’d love to hear from you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. Qualifications 8+ years of experience in Data Science, machine learning, natural language processing, and deep learning preferably with a focus on Cyber Security or related fields. Experience in programming languages such as Python, R, or Scala, with hands-on experience in data analysis, experimental design principles and visualization. Experience in translating complex data into actionable insights and recommendations that drive business impact. Excellent technical design skills and proven ability to drive large scale system designs for complex projects or products. Expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn and others). In-depth knowledge of cybersecurity principles, threats, and attack vectors. Experience with big data technologies (e.g., Hadoop, Spark, Kafka) and data processing. Strong analytical and problem-solving skills with the ability to think creatively. Excellent communication skills with the ability to explain complex concepts stakeholders. Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or equivalent experience. Preferred Qualifications: Experience in developing and deploying machine learning models for Cyber security applications. Experience in Big Data preferably in the cybersecurity or SaaS industry. Experience with data science workloads with the Azure tech stack; Synapse, Azure ML, etc. Knowledge of anomaly detection, fraud detection, and other related areas. Familiarity with security fundamentals and attack vectors Publications or contributions to the field of data science or cybersecurity. Excellent track record of cross team collaboration. Ambitious, self-motivated. Agile, can-do attitude and great at dealing with ambiguity. Responsibilities Develop and implement machine learning models and algorithms to detect security threats and attacks within Microsoft. Analyse large and complex datasets generated to identify patterns and anomalies indicative of security risks. Collaborate with security experts to understand threat landscapes and incorporate domain knowledge into models. Continuously monitor and improve the performance of security models to adapt to evolving threats. Lead the design and implementation of data-driven security solutions and tools. Mentor and guide junior data scientists in best practices and advanced techniques. Communicate findings and insights to stakeholders, including senior leadership and technical teams. Stay up to date with the latest advancements in data science, machine learning, and cybersecurity. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

About The Role You will not only contribute to the analysis of the credit and surety portfolio, from both risk and profitability perspectives, through the advanced analysis of internal and external data, but also work to make underwriting more efficient. You will collaborate with teams across Swiss Re to drive data-driven transformation and solve complex data challenges using cutting-edge technology, ensuring sustainable and profitable business outcomes. This is a unique opportunity to apply your deep knowledge of data science and analytics to real portfolios, connect economic trends to market performance, and investigate patterns to ensure long-term profitability. You will also gain valuable exposure to credit portfolio management, bridging the gap between insurance and banking. In this role, you will work closely with colleagues from various departments, including underwriting, finance, operations, claims, risk management, and actuarial functions. Key Responsibilities Working with stakeholders to understand the exact problem statement/business context, and helping convert these to well defined requirements. Building of Analytics solutions for the Credit and Surety line of business, contributing to steering and monitoring the portfolio in line with strategic objectives. Collaborate with cross-functional teams to develop innovative solutions that support data transformation, risk management, and underwriting efficiency. About The Team We are a friendly and collaborative team, who always puts the client first. We partner with portfolio owners to provide the framework of proper portfolio steering and insights to make us more profitable. We focus on data driven outcomes to find new ways to solve challenges through quantitative models and data transformation. The Actuarial Portfolio Management Credit and Surety(APM C&S) team reports directly to the Global Head of Actuarial Portfolio Management Corporate Solutions. About You You have strong interpersonal skills and ability to maintain effective working relations in a multi-disciplinary and multi-cultural environment. You are a self-starter and organized, able to handle multiple priorities and meet deadlines. Ability to manage diverse projects and tasks simultaneously. You are able to apply quantitative skills, business knowledge, logical thinking and communicate the key message by visualization & presentation Essentials 5+ years of analytical experience with hands-on experience with PySpark and Python, particularly in building and optimizing large-scale data transformation pipelines. 3+ years of SQL experience, comfortable writing and optimizing complex queries. Extensive experience in data visualization and developing interactive dashboards for business stakeholders, with a focus on strategic insights. You have applied these skills using real business data to develop insights and practical solutions You have experience leading project delivery and working with junior colleagues Solid academic education (university degree or higher), ideally in Data Science, IT , Mathematics, statistics, econometrics or equivalent fields. Advanced English communication skills, both written and verbal. Proven ability to work independently, solve complex problems, and drive business impact through data-driven strategies. Nice to haves Experience with Palantir Foundry or other big data platforms. Previous experience in credit quantitative models, credit portfolio management, risk management in banking or insurance is a plus. Experience working in an Agile environment, collaborating with cross-functional teams to deliver business outcomes. Good knowledge and understanding of credit aggregation, global macroeconomics, financial markets and credit-related products; experience in the Trade Finance and Surety sectors a plus. About Swiss Re Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world. Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability. If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience. Keywords Reference Code: 134570

Are you passionate about shaping the future applications of AI and empowering millions of users to unlock their full potential? The OneNote team is at the forefront of an exciting transformation with Copilot Notebooks: intelligent, dynamic notebooks infused with powerful AI that act as a true "second brain." Imagine effortlessly capturing ideas, intuitively understanding complex information, and seamlessly taking informed action. This is the heart of our mission. As a Senior Applied Scientist working in OneNote team, your core mission is to deliver high quality AI-scenarios for Copilot Notebooks. You’ll be responsible for adopting the latest ML technologies, measuring the impact of models and working with product teams to design AI-powered experiences. We are looking for candidates who are creative, self-driven, curious, people-oriented and comfortable defining a path through ambiguity towards high-level goals. This opportunity will allow you to work in an exciting and fast-paced environment, collaborating closely with teams across multiple organizations and ship products globally. You’ll have access to the latest models, research and ML techniques that you can bring to the product teams, as well as opportunities to contribute back to the scientific community (via presentations etc). Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Come up with evaluation techniques, datasets and metrics to measure the impact of the latest models on product scenarios. Work with product teams in designing AI-powered experiences. Collaborate with research teams to adopt the latest ML technologies into the product. Push the boundaries of AI innovation by partnering with platform teams and working with frontier models. Build and deploy Machine Learning (ML) models, create data pipelines, and manage training and test datasets. Foster a healthy and inclusive team environment, provide technical guidance to other applied scientists, and act as a mentor Participate in onboarding of junior team members and assist in developing academics to the members of multidiscipline teams. You’ll identify new research talent to join Microsoft and collaborate with the academic community to develop the recruiting pipeline. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 3+ years of experience in machine learning, deep learning, natural language processing, computer vision, and/or statistics. Other Requirements Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications 5+ years of experience in end-to-end development for building, shipping, and iterating on high-impact ML models. Proficiency in Python and familiarity with coding in multiple languages. Proficiency in using ML libraries from sources such as Hugging Face. Expertise in implementing, training, and debugging transformer-based ML models and other related tools and technologies for building and shipping large language models (LLM) applications. Published papers in reputed ML conferences and/or contributions to open-source ML projects is a plus. Effective communication skills, maintaining customer experience and quality along with the ability to work across groups and disciplines. Ability to quickly ramp up on various domains within Machine Learning. Experience shipping high-quality products at scale is a plus. Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

At OneNote, we are driven by a bold vision: "To help activate a second brain for everyone to realize their full potential." We are embarking on the next chapter of our evolution via Copilot Notebooks: notebooks designed for an AI powered future. We're building solutions that make capturing ideas seamless, understanding complex information intuitive, and taking informed action Whether it’s brainstorming the next big idea, organizing life’s intricate details, or simply finding clarity amid complexity, OneNote Copilot Notebooks is here. Join us as we reshape the future of AI by turning possibilities into realities — and help millions of users across the globe activate their second brain. We are looking for a Data Scientist II to join our team and help us shape the future of OneNote. In this role, you will partner with product, design, and engineering teams to deliver actionable insights, build experimentation frameworks, and identify growth opportunities. Your work will directly influence product development and user engagement strategies across millions of users. Our culture thrives on innovation, inclusion, growth mindset, and a strong sense of purpose. If you’re passionate about using data to drive decisions and want to work on a high-impact product at the cutting edge of productivity and AI, we’d love to hear from you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities You will understand each customer’s business goals and learn best practices for identifying growth opportunities. You’ll also examine projects through a customer-oriented focus and manage customer expectations regarding project progress. Collaborate with cross-functional teams to define metrics, design experiments, and uncover user behaviors that influence product adoption and growth. Use statistical analysis, data mining, and machine learning techniques to generate insights from large-scale structured and unstructured data. Acquire the data necessary for your project plan and use querying, visualization, and reporting techniques to describe that data. You’ll also explore data for key attributes and collaborate with others to perform data science experiments using established methodologies. Model techniques, select the correct tool and approach to complete objectives, and evaluate the output for statistical and business significance. You’ll also analyze model performance and incorporate customer feedback into its evaluation. Build dashboards and reports that enable product teams to track key performance indicators and make data-informed decisions. Develop and iterate on models to identify high-value scenarios, recommend features, and improve user retention and engagement. Communicate insights clearly and effectively to both technical and non-technical stakeholders, influencing product strategy and priorities. Contribute to a culture of data excellence by championing best practices in experimentation, measurement, and data governance. Understanding the current state of the industry, including current trends, so that you can contribute to thought leadership best practices. Qualifications Required Qualifications: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical tec OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical tec OR equivalent experience. 1+ year(s) customer-facing, project-delivery experience, professional services, and/or consulting experience. Proficiency in SQL and at least one programming language such as Python or R. Experience with business intelligence tools (e.g., Power BI, Tableau). Strong statistical knowledge and experience with A/B testing, causal inference, or other experimentation methodologies. Experience working with large datasets and big data technologies (e.g., Azure Data Lake, Synapse, Databricks, Spark, or equivalent). Ability to work independently and collaboratively in a fast-paced, ambiguous environment. Candidate must be comfortable manipulating and analyzing complex, high dimensional data from varying sources to solve difficult problems. Candidate must be able to communicate complex ideas and concepts to leadership and deliver results. Other Requirements Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications Experience in product analytics, growth strategy, or user engagement optimization. Familiarity with Microsoft Office ecosystem or productivity tools is a plus. Experience with Copilot/LLM-related user scenarios or AI-driven products. Strong storytelling and communication skills, with the ability to turn complex data into clear, actionable narratives for executives and product teams. Passion for building delightful and impactful user experiences with measurable outcomes. Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging areaThis is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view. Join our dynamic team in Mumbai/Bengaluru for an exciting opportunity in a fast-paced environment. As an experienced quant, you will partner with the Business to provide insights across roles like derivative quant and electronic trading quant. Collaborate with trading desks, product managers, and technology teams to create analytical tools and ensure regulatory compliance. Benefit from extensive training and unique growth opportunities to advance your career. If youre passionate and ready to make an impact, we want you on our team. As a Quantitative Research Associate/Vice President within the QR team, you will partner with the Business to provide a comprehensive view, develop and maintain sophisticated mathematical models, and collaborate with trading desks, product managers, and technology teams to create analytical tools and quantitative trading models. You will also work with control functions to ensure compliance with regulatory requirements, while benefiting from on-the-job training and growth opportunities. If you are passionate, curious and ready to make an impact, we are looking for you. Job Responsibilities Develop and maintain sophisticated mathematical models to value and hedge financial transactions ranging from vanilla flow products to complex derivative deals Improve the performance of algorithmic trading strategies and promote advanced electronic solutions to our clients worldwide Collaborate with risk functions to develop models for market and credit risk the bank is exposed to, across various lines of business Build cutting-edge methodologies and infrastructure to implement our models in production Required qualifications, capabilities and skills You have a degree in engineering, financial engineering, computer science, mathematics, sciences, statistics, econometrics, or other quantitative fields You have strong quantitative, analytical and problem-solving skills You have a strong background in the following topics - calculus, linear algebra, probability, and statistics You demonstrate proficiency in at least one of the object-oriented programming languages, like C++ or Java, and are good at Python You have knowledge of data structures and algorithms You can work independently as well as in a team environment You think strategically and creatively when faced with problems and opportunities Your excellent communication skills, both verbal and written, can engage and influence partners and stakeholders Preferred qualifications, capabilities and skills Markets experience and general trading concepts and terminology is useful to be familiar with Knowledge of different types of financial products and asset classes like Fixed Income, Credit, Commodities, Equities Background in computer algorithms, python, and specialization (or significant coursework) in low level systems (operating systems, compilers, GPUs, etc.) Knowledge of options pricing theory, trading algorithms, financial regulations, stochastic calculus, machine learning, or high-performance computing would be a plus Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging areaThis is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view. Join our dynamic team in Mumbai/Bengaluru for an exciting opportunity in a fast-paced environment. As an experienced quant, you will partner with the Business to provide insights across roles like derivative quant and electronic trading quant. Collaborate with trading desks, product managers, and technology teams to create analytical tools and ensure regulatory compliance. Benefit from extensive training and unique growth opportunities to advance your career. If youre passionate and ready to make an impact, we want you on our team. As a Quantitative Research Associate/Vice President within the QR team, you will partner with the Business to provide a comprehensive view, develop and maintain sophisticated mathematical models, and collaborate with trading desks, product managers, and technology teams to create analytical tools and quantitative trading models. You will also work with control functions to ensure compliance with regulatory requirements, while benefiting from on-the-job training and growth opportunities. If you are passionate, curious and ready to make an impact, we are looking for you. Job Responsibilities Develop and maintain sophisticated mathematical models to value and hedge financial transactions ranging from vanilla flow products to complex derivative deals Improve the performance of algorithmic trading strategies and promote advanced electronic solutions to our clients worldwide Collaborate with risk functions to develop models for market and credit risk the bank is exposed to, across various lines of business Build cutting-edge methodologies and infrastructure to implement our models in production Required qualifications, capabilities and skills You have a degree in engineering, financial engineering, computer science, mathematics, sciences, statistics, econometrics, or other quantitative fields You have strong quantitative, analytical and problem-solving skills You have a strong background in the following topics - calculus, linear algebra, probability, and statistics You demonstrate proficiency in at least one of the object-oriented programming languages, like C++ or Java, and are good at Python You have knowledge of data structures and algorithms You can work independently as well as in a team environment You think strategically and creatively when faced with problems and opportunities Your excellent communication skills, both verbal and written, can engage and influence partners and stakeholders Preferred qualifications, capabilities and skills Markets experience and general trading concepts and terminology is useful to be familiar with Knowledge of different types of financial products and asset classes like Fixed Income, Credit, Commodities, Equities Background in computer algorithms, python, and specialization (or significant coursework) in low level systems (operating systems, compilers, GPUs, etc.) Knowledge of options pricing theory, trading algorithms, financial regulations, stochastic calculus, machine learning, or high-performance computing would be a plus

We offer a unique opportunity to collaborate with brilliant minds and deliver premier solutions that set a new standard. As a Data Scientist lead within the Data and Analytics team, you will drive the analytics book of work, transforming Chase s cross-channel, cross-line of business acquisition strategy to a hyper-personalized, data-driven, customer-centric model. You will partner strategically across the firm with marketers, channel owners, digital experts, and the broader analytics community to help drive business goals through deep understanding of marketing analytics and optimization. Job Responsibilities Develop the analytics framework and data infrastructure necessary to support the platform team in evaluating value addition. Define and assess the OKRs and goals related to the platforms performance. Provide top-tier business intelligence through dashboards and executive reporting to the Acquisitions Center of Excellence and Line of Business leadership. Construct business cases that drive prioritization and investment in Acquisition & Enablement Platforms. Communicate effectively with product, technology, data, and design teams to identify and advance a data-driven analytical roadmap. Serve as the Acquisition Center of Excellence Analytics local site lead, overseeing local operations and contributing to the expansion of the teams presence in India. Required Qualifications, Capabilities, and Skills 5+ years leveraging data visualization tools for data exploration and marketing performance evaluation. Proven ability to lead and manage teams effectively, showcasing strong leadership skills. Experience in querying big data platforms and SAS/SQL. Comfort building and managing relationships with both analytics and business stakeholders. Proven track record of problem-solving using data and building new analytics capabilities. Talent for translating numbers into an actionable story for business leaders. Experience with best-in-class web analytic tools (Google Analytics, Adobe/Omniture Insight/Visual Sciences, Webtrends, CoreMetrics, etc. ). Superior written, oral communication and presentation skills with experience communicating concisely and effectively with all levels of management and partners. Bachelor s degree is required, with data science, mathematics, statistics, econometrics, engineering, MIS, finance, or related fields accordingly. Preferred Qualifications, Capabilities, and Skills Financial services experience preferred. Tableau experience preferred. Familiarity with Teradata, AWS, & Snowflake preferred. We offer a unique opportunity to collaborate with brilliant minds and deliver premier solutions that set a new standard. As a Data Scientist lead within the Data and Analytics team, you will drive the analytics book of work, transforming Chase s cross-channel, cross-line of business acquisition strategy to a hyper-personalized, data-driven, customer-centric model. You will partner strategically across the firm with marketers, channel owners, digital experts, and the broader analytics community to help drive business goals through deep understanding of marketing analytics and optimization. Job Responsibilities Develop the analytics framework and data infrastructure necessary to support the platform team in evaluating value addition. Define and assess the OKRs and goals related to the platforms performance. Provide top-tier business intelligence through dashboards and executive reporting to the Acquisitions Center of Excellence and Line of Business leadership. Construct business cases that drive prioritization and investment in Acquisition & Enablement Platforms. Communicate effectively with product, technology, data, and design teams to identify and advance a data-driven analytical roadmap. Serve as the Acquisition Center of Excellence Analytics local site lead, overseeing local operations and contributing to the expansion of the teams presence in India. Required Qualifications, Capabilities, and Skills 5+ years leveraging data visualization tools for data exploration and marketing performance evaluation. Proven ability to lead and manage teams effectively, showcasing strong leadership skills. Experience in querying big data platforms and SAS/SQL. Comfort building and managing relationships with both analytics and business stakeholders. Proven track record of problem-solving using data and building new analytics capabilities. Talent for translating numbers into an actionable story for business leaders. Experience with best-in-class web analytic tools (Google Analytics, Adobe/Omniture Insight/Visual Sciences, Webtrends, CoreMetrics, etc. ). Superior written, oral communication and presentation skills with experience communicating concisely and effectively with all levels of management and partners. Bachelor s degree is required, with data science, mathematics, statistics, econometrics, engineering, MIS, finance, or related fields accordingly. Preferred Qualifications, Capabilities, and Skills Financial services experience preferred. Tableau experience preferred. Familiarity with Teradata, AWS, & Snowflake preferred.

Job Description for MMM Role: Management Level : Ind&Func AI Decision Science Consultant Location : Gurgaon, Bangalore Must-Have Skills: Market Mix Modeling (MMM) Techniques, Optimization Algorithms for budget allocation and promotional channel optimization, Statistical and Probabilistic Methods: SVM, Decision Trees, Programming Languages & Tools: Python, NumPy, Pandas, Sklearn, AI/ML Models Development and Data Pipeline Management, Data Management within Snowflake (data layers, migration), Cloud Platforms experience (Azure, AWS, GCP) Good-to-Have Skills: Experience with Nonlinear Optimization Techniques, Experience in Data Migration (cloud to Snowflake), Proficiency in SQL and cloud-based technologies, Understanding of Econometrics/Statistical Modeling (Regression, Time Series, Multivariate Analysis). Job Summary We are seeking a skilled Ind & Func AI Decision Science Consultant to join the Accenture Strategy & Consulting team in the Global Network – Data & AI practice . This role is focused on Market Mix Modeling (MMM) , where you will be responsible for developing AI/ML models, optimizing promotional channels, managing data pipelines, and working on scaling marketing mix models across cloud platforms. You will work with leading financial clients, leveraging cutting-edge technology to drive business impact and innovation. Roles & Responsibilities Engagement Execution Lead MMM engagements that involve optimizing promotional strategies, budget allocation, and marketing analytics solutions. Apply advanced statistical techniques and machine learning models to improve marketing effectiveness. Collaborate with clients to develop tailored market mix models, delivering data-driven insights to optimize their marketing budgets and strategies. Develop Proof of Concepts (PoC) for clients, including scoping, staffing, and execution phases. Practice Enablement Mentor and guide analysts, consultants, and managers to build their expertise in Market Mix Modeling and analytics. Contribute to the growth of the Analytics practice through knowledge sharing, staffing initiatives, and development of new methodologies. Promote thought leadership in Marketing Analytics by publishing research and presenting at industry events. Opportunity Development Identify business development opportunities in marketing analytics and develop compelling business cases for potential clients. Work closely with deal teams to provide subject matter expertise in MMM, ensuring the development of high-quality client proposals and responses to RFPs. Client Relationship Development Build and maintain strong, trusted relationships with internal and external clients. Serve as a consultant to clients, offering strategic insights to optimize marketing spend and performance. Professional & Technical Skills 3+ years of experience in Market Mix Modeling (MMM) and associated optimization techniques. Strong knowledge of nonlinear optimization, AI/ML models, and advanced statistical techniques for marketing. Proficiency in programming languages such as Python, NumPy, Pandas, Sklearn, Seaborne, Pycaret, and Matplotlib. Experience with cloud platforms such as AWS, Azure, or GCP and data migration to Snowflake. Familiarity with econometrics/statistical modeling techniques (Regression, Hypothesis Testing, Time Series, Multivariate Analysis). Hands-on experience in managing data pipelines and deploying scalable machine learning architectures. Additional Information: Master’s degree in Statistics, Econometrics, Economics, or related fields from reputed universities. Ph.D. or M.Tech is a plus. Excellent communication and interpersonal skills to effectively collaborate with global teams and clients. Willingness to travel up to 40% of the time. Work on impactful projects to help clients optimize their marketing strategies through advanced data-driven insights. About Our Company | Accenture

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Senior Data Engineer Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview Technical Implementation team is part of MasterCard Services group and one of the most rapidly growing organization in the space. Services Technology Teams provides analytic software tools that enable large, consumer-focused businesses to seize the Big Data analytics opportunity by triangulating between business strategy, algorithmic math, and large databases to improve decisions. The Technical Implementation team is a core component to consulting services, managing the data acquisition, integration and transformation of client provided data within the Test & Learn platform for global engagements. Role The Senior Data Engineer Will Lead And Participate On Data Management Aspects Of Client Engagements To Deliver Test & Learn Solutions, As Well As Contribute To And Foster a High Performance Collaborative Workplace. A Senior Data Engineer Will Independently lead projects through design, implementation, automation, and maintenance of large scale enterprise ETL processes for a global client base Act as an expert technical resource within the team and region Deliver on-time, accurate, high-value, robust data solutions across multiple clients, solutions and industry sectors Build trust-based working relationships with peers and clients across local and global teams Implement best practices and collaborate in the design of effective streamlined processes for a complex global solutions group Leverage industry best practices including proper use of source control, participation in code reviews, data validation and testing Plays a lead role where he/she oversees the activities of the data engineers and ensures the efficient execution of their duties Act as an advisor/mentor and helps in managing careers for junior team members Comply and uphold all MasterCard internal policies and external regulations All About You BE/BTech in a quantitative field (e.g., Computer Science, Statistics, Econometrics, Engineering, Mathematics, Operations Research). ME/MTech preferred Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. R-252842

Company Profile Mor g an Sta n ley is a lea d ing global fi n anc i al s e rv ic es firm prov i ding a wide ran g e of invest m ent ba n king, s e c u rit i es, inv e st m ent m anage m ent and w e alth m anage m ent serv i c e s . T h e Fir m 's e m ploye e s s e rve clien t s w o rldwi d e inc l u d ing corp o ratio n s , govern m en t s and ind i vid u a l s from m ore than 1,2 0 0 offic e s in 43 co u ntries . As a m arket lead e r, the talent and p a ss i on of our p eo ple is c r itical to our s u cc es s. Togeth e r, we share a co mm on set of val u es r o ot e d in i ntegri t y, excel l e n ce and str o ng team ethic. Mor g an Sta n ley c a n p r o v i de a sup e ri o r fo u ndation for building a pr ofessio n al c a re e r - a pl ac e for p e ople to lea r n, to a c hi e v e and g row. A p hil o sop h y that ba l ances pers on a l lifestyl e s, persp e c tives a nd nee d s is an im portant part of our cult u r e . Department Profile From global institutions to hedge funds, investors come to Morgan Stanley for sales, trading, and market-making services in almost every type of financial instrument in all the world’s financial markets. Morgan Stanley professionals use our network and technology to provide liquidity and sophisticated analysis, to manage risk and execute reliably in the fast-changing markets. Morgan Stanley’s Institutional Equity Division (IED) is a world leader in the origination, distribution and trading of equity, equity-linked and equity-derivative securities. Our broad and deep client relationships, market-leading platform and intellectual insights enable us to be a world-class service provider to our clients for their financing, market access and portfolio management needs. Global Markets Group is the offshoring arm of Morgan Stanley’s Sales & Trading businesses in India. It covers functions across IED and Fixed Income Division (FID) ranging from those associated with sales, trading, analytics, strats to risk management. Primary Responsibilities The candidate will be based out of Mumbai and will be working with the Equities Exotics Trading desk (London). The role suits a self-motivated, highly energetic individual who has a strong background in mathematical analysis. The role offers great opportunity to the candidates to build on their knowledge of and exposure to Equity Derivative products, risks as well as valuation. The candidate will be involved in – Trade Support/Capture Expiries/Determinations/Fixings Secondary Market/Indications Inventory Management/Treasury Unwinds Monitor upcoming autocall/barrier events, send report to trading/sales Track daily price movement in the books vs the market. Analyse the correlation in the movement. Track and analyse the hit-ratios for all of the Structured Derivatives books Daily PnL Attribution Send periodic pricing runs together in conjunction with trading and FE desk Generate internal marketing presentations for products Track/Monitor Index changes coming up in the week ahead. Skills Required (essential) We are looking for a confident and outgoing person, who has exceptional attention to detail and is proactive in taking initiative. Engineers (Tier 1 institute) with MBAs (preferred but not must) 1-6 years’ work experience in Banking/Financial Services in Equity Exotics – Hybrids, SNO, Index Derivatives Coursework/Strong understanding in Economics, Econometrics, Finance Good communication skills – written as well as telephonic. There will be regular communication with the trading desk and the person needs to be able to understand the requirements and express their thoughts clearly. High level of attention to detail Proficiency in MS Office products – Excel, Powerpoint Advance knowledge of VBA and programming in C++ Coursework in Statistics is a plus In addition, the candidate should have theoretical or practical understanding of - Option Greeks and their behavior over time Derivative products like Swaps, Swaptions, Spread Options, Cap/Floors, range accruals, Digitals etc. Basic options trading strategies General behavior of Equity Derivatives markets – Flow and Structured Products What You Can Expect From Morgan Stanley We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

Sr Data Scientist Job Summary Responsibilities: Help design and build the next iteration of process automation in Core Map processes employing a highly scalable Big Data infrastructure and machine learning as applied to global-scale digital map-making. Build and test analytic and statistical models to improve a wide variety of both internal data-driven processes for map-making data decisions and system control needs. Act as an expert and evangelist in the areas of data mining, machine learning, statistics, and predictive analysis and modeling. Requirements: MS or PhD in a discipline such as Statistics, Applied Mathematics, Computer Science, or Econometrics with an emphasis or thesis work on one or more of the following: computational statistics/science/engineering, data mining, machine learning, and optimization. Minimum of 5 years related, professional experience. Knowledge of data mining and analytic methods such as regression, classifiers, clustering, association rules, decision trees, Bayesian network analysis, etc. We should have expert-level knowledge in one or more of these areas. Knowledge of Computer Vision, Deep Learning and Point Cloud Processing algorithms. Proficiency with a statistical analysis package and associated scripting language such as Python, R, Matlab, SAS, etc. Programming experience with SQL, shell script, Python, etc. Knowledge of and ideally some experience with MLOps will be preferred. Knowledge of and ideally some experience with tools such as Pig, Hive, etc., for working with big data in Hadoop and/or Spark for data extraction and data prep for analysis. Experience with and demonstrated capability to effectively interact with both internal and external customer executives, technical and non-technical to explain uses and value of predictive systems and techniques. Demonstrated proficiency with understanding, specifying and explaining predictive modeling solutions and organizing teams of other data scientists and engineers to execute projects delivering those solutions. Preferred Qualifications: Development experience with Java and Scala Development experience with Docker Development experience with GIS data Development experience with NoSQL (i.e. DynamoDB) Knowledge of GPU programming (CUDA or OpenCL) on GPU accelerator architecture

Data Scientist II Hyderabad, Telangana, India Date posted Jul 07, 2025 Job number 1828565 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Data Science Employment type Full-Time Overview At OneNote, we are driven by a bold vision: "To help activate a second brain for everyone to realize their full potential." We are embarking on the next chapter of our evolution via Copilot Notebooks: notebooks designed for an AI powered future. We're building solutions that make capturing ideas seamless, understanding complex information intuitive, and taking informed action Whether it’s brainstorming the next big idea, organizing life’s intricate details, or simply finding clarity amid complexity, OneNote Copilot Notebooks is here. Join us as we reshape the future of AI by turning possibilities into realities — and help millions of users across the globe activate their second brain. We are looking for a Data Scientist II to join our team and help us shape the future of OneNote. In this role, you will partner with product, design, and engineering teams to deliver actionable insights, build experimentation frameworks, and identify growth opportunities. Your work will directly influence product development and user engagement strategies across millions of users. Our culture thrives on innovation, inclusion, growth mindset, and a strong sense of purpose. If you’re passionate about using data to drive decisions and want to work on a high-impact product at the cutting edge of productivity and AI, we’d love to hear from you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical tec OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical tec OR equivalent experience. 1+ year(s) customer-facing, project-delivery experience, professional services, and/or consulting experience. Proficiency in SQL and at least one programming language such as Python or R. Experience with business intelligence tools (e.g., Power BI, Tableau). Strong statistical knowledge and experience with A/B testing, causal inference, or other experimentation methodologies. Experience working with large datasets and big data technologies (e.g., Azure Data Lake, Synapse, Databricks, Spark, or equivalent). Ability to work independently and collaboratively in a fast-paced, ambiguous environment. Candidate must be comfortable manipulating and analyzing complex, high dimensional data from varying sources to solve difficult problems. Candidate must be able to communicate complex ideas and concepts to leadership and deliver results. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: Experience in product analytics, growth strategy, or user engagement optimization. Familiarity with Microsoft Office ecosystem or productivity tools is a plus. Experience with Copilot/LLM-related user scenarios or AI-driven products. Strong storytelling and communication skills, with the ability to turn complex data into clear, actionable narratives for executives and product teams. Passion for building delightful and impactful user experiences with measurable outcomes. Responsibilities You will understand each customer’s business goals and learn best practices for identifying growth opportunities. You’ll also examine projects through a customer-oriented focus and manage customer expectations regarding project progress. Collaborate with cross-functional teams to define metrics, design experiments, and uncover user behaviors that influence product adoption and growth. Use statistical analysis, data mining, and machine learning techniques to generate insights from large-scale structured and unstructured data. Acquire the data necessary for your project plan and use querying, visualization, and reporting techniques to describe that data. You’ll also explore data for key attributes and collaborate with others to perform data science experiments using established methodologies. Model techniques, select the correct tool and approach to complete objectives, and evaluate the output for statistical and business significance. You’ll also analyze model performance and incorporate customer feedback into its evaluation. Build dashboards and reports that enable product teams to track key performance indicators and make data-informed decisions. Develop and iterate on models to identify high-value scenarios, recommend features, and improve user retention and engagement. Communicate insights clearly and effectively to both technical and non-technical stakeholders, influencing product strategy and priorities. Contribute to a culture of data excellence by championing best practices in experimentation, measurement, and data governance. Understanding the current state of the industry, including current trends, so that you can contribute to thought leadership best practices. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Applied Scientist 2 Hyderabad, Telangana, India Date posted Jul 07, 2025 Job number 1828566 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Applied Sciences Employment type Full-Time Overview Are you passionate about shaping the future applications of AI and empowering millions of users to unlock their full potential? The OneNote team is at the forefront of an exciting transformation with Copilot Notebooks: intelligent, dynamic notebooks infused with powerful AI that act as a true "second brain." Imagine effortlessly capturing ideas, intuitively understanding complex information, and seamlessly taking informed action. This is the heart of our mission. As a Applied Scientist II working in OneNote team, your core mission is to deliver high quality AI-scenarios for Copilot Notebooks. You’ll be responsible for adopting the latest ML technologies, measuring the impact of models and working with product teams to design AI-powered experiences. We are looking for candidates who are creative, self-driven, curious, people-oriented and comfortable defining a path through ambiguity towards high-level goals. This opportunity will allow you to work in an exciting and fast-paced environment, collaborating closely with teams across multiple organizations and ship products globally. You’ll have access to the latest models, research and ML techniques that you can bring to the product teams, as well as opportunities to contribute back to the scientific community (via presentations etc). Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 3+ years of experience in machine learning, deep learning, natural language processing, computer vision, and/or statistics. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: 3+ years of experience in end-to-end development for building, shipping, and iterating on high-impact ML models. Proficiency in Python and familiarity with coding in multiple languages. Proficiency in using ML libraries from sources such as Hugging Face. Expertise in implementing, training, and debugging transformer-based ML models and other related tools and technologies for building and shipping large language models (LLM) applications. Published papers in reputed ML conferences and/or contributions to open-source ML projects is a plus. Effective communication skills, maintaining customer experience and quality along with the ability to work across groups and disciplines. Ability to quickly ramp up on various domains within Machine Learning. Experience shipping high-quality products at scale is a plus. Responsibilities Come up with evaluation techniques, datasets and metrics to measure the impact of the latest models on product scenarios. Work with product teams in designing AI-powered experiences. Collaborate with research teams to adopt the latest ML technologies into the product. Push the boundaries of AI innovation by partnering with platform teams and working with frontier models. Build and deploy Machine Learning (ML) models, create data pipelines, and manage training and test datasets. Foster a healthy and inclusive team environment, provide technical guidance to other applied scientists, and act as a mentor Participate in onboarding of junior team members and assist in developing academics to the members of multidiscipline teams. You’ll identify new research talent to join Microsoft and collaborate with the academic community to develop the recruiting pipeline. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

About us At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world’s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for. The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies. We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society’s evolving needs. Learn more about our What and our Why and how we can work together . What role you will play in our team We are seeking candidates to tackle challenging commercial problems in pricing, marketing, sales, transportation, storage, and distribution of hydrocarbons. The ideal candidate will understand both the commercial/economic and technical aspects of the oil and gas sector and will be able to formulate and solve oil and gas industry problems using data science, econometrics, statistical analysis, and programming skills. What you will do Collaborate with data scientists, data analysts, software developers, business representatives from chemical, lubricants, and fuels value chains, and demand planners globally to develop, deliver, and apply computational tools, models, or software to support our business. Utilize machine learning, time series analysis, pattern recognition, statistical analysis, design of experiments, and data visualizations, along with domain knowledge, to solve commercial and logistics problems and provide business insights. Design, build, and execute studies using proprietary or commercial tools to provide insights, including calibrating models to pricing/sales/demand data and providing optimized recommendations. About You Skills and Qualifications Bachelor’s, Master’s, or PhD degree from a recognized university in Data Science, Computer Science, IT, Applied Mathematics, Statistics, Engineering, or related disciplines with a minimum GPA of 7.0 (out of 10.0). At least 2 years of experience in developing, applying, and validating data-driven tools to model complex systems. In-depth knowledge and practical experience in statistical analysis techniques (e.g., classification, regression, time-series, Bayesian techniques) and machine learning techniques (e.g., decision trees, ensemble methods, deep learning, neural networks, validation methods). Practical experience in the full machine learning lifecycle, from problem formulation and data acquisition to model building and deployment at enterprise scale. Specialization in at least one sub-domain, such as time series forecasting, econometrics, statistics, or NLP. Proficiency in Python and R, including packages such as NumPy, pandas, scikit-learn, Keras, TensorFlow, and PyTorch. Experience with software engineering practices, agile methodologies, DevOps, and version control. Experience working with Azure Databricks or other data science frameworks. Familiarity with software testing and development practices (Agile). Experience with data visualization tools (e.g., Tableau, Power BI). Preferred Qualifications / Experience Knowledge of supply chain operations, including demand planning, inventory optimization, vehicle routing, and network optimization. Prior experience in commercial software development or working in commercial software teams. Ability to identify and scope data science opportunities based on business needs. Strong communication and interpersonal skills, with the ability to work collaboratively in a global team environment. Excellent problem-solving skills and attention to detail. Your benefits An ExxonMobil career is one designed to last. Our commitment to you runs deep our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you: Competitive compensation Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits Retirement benefits Global networking & cross-functional opportunities Annual vacations & holidays Day care assistance program Training and development program Tuition assistance program Workplace flexibility policy Relocation program Transportation facility Please note benefits may change from time to time without notice, subject to applicable laws. The benefits programs are based on the Company’s eligibility guidelines. Stay connected with us Learn more about ExxonMobil in India, visit ExxonMobil India and Energy Factor India . Follow us on LinkedIn and ExxonMobil (@exxonmobil) • Instagram photos and videos Like us on Facebook Subscribe our channel at YouTube EEO Statement ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status. Business solicitation and recruiting scams ExxonMobil does not use recruiting or placement agencies that charge candidates an advance fee of any kind (e.g., placement fees, immigration processing fees, etc.). Follow the LINK to understand more about recruitment scams in the name of ExxonMobil. Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

Qualifications for Faculty (Mathematics, Economics, Statistics) To teach Class 11, 12, or higher-level courses in Mathematics, Economics, and Statistics at Dr. Sourav Sir Classes, candidates must meet the following qualifications: Educational Background : Minimum Requirement : A postgraduate degree (M.Sc., M.A., or equivalent) in Mathematics, Economics, Statistics, or a related field from a recognized university with at least 55% marks (50% for SC/ST/PwD candidates). Preferred : Ph.D. in the relevant subject or NET/SET qualification for teaching at higher levels. Candidates with B.Ed. or equivalent teaching qualifications are preferred for Class 11 and 12. For Mathematics: Strong foundation in subjects such as Calculus, Algebra, Probability, and Statistics. For Economics: Expertise in Microeconomics, Macroeconomics, Econometrics, and related areas like Public Economics or International Economics. For Statistics: Proficiency in Statistical Methods, Probability, Time Series Analysis, and applications in data analysis. Candidates with interdisciplinary knowledge (e.g., Mathematics with Economics or Statistics) are highly desirable. Experience : Minimum 2–3 years of teaching experience in junior colleges, coaching institutes, or higher education institutions, preferably for Class 11, 12, or undergraduate-level courses. Experience in preparing students for board exams (e.g., CBSE, ISC, State Boards) or competitive exams (e.g., JEE, NEET, or entrance exams for Economics/Statistics programs) is an advantage. Skills : Strong subject knowledge and ability to explain complex concepts in a clear, engaging manner. Excellent oratory and communication skills, with proficiency in English and/or Hindi (depending on the medium of instruction). Proficiency in using digital tools for online teaching (e.g., MS Office, MathML for Mathematics, or statistical software like R or SPSS). Ability to adapt teaching methods to cater to diverse student needs, including remedial instruction for weaker students and advanced challenges for high achievers. Certifications : For Class 11 and 12: B.Ed. or equivalent teaching certification is preferred but not mandatory. For higher levels: NET/SET clearance or equivalent is preferred. Additional Requirements : Passion for teaching and student development, with a creative and collaborative approach. Familiarity with Indian board syllabi (e.g., CBSE, ISC, or State Boards) and Common Core State Standards for Mathematics, where applicable. For international curricula (e.g., IB, A-levels), familiarity with syllabi and requirements is a plus. Work Details for Faculty Faculty members at Dr. Sourav Sir Classes teaching Mathematics, Economics, and Statistics for Class 11, 12, or higher levels are expected to perform the following duties: Teaching Responsibilities : Plan, develop, and deliver lessons aligned with the curriculum (e.g., CBSE, ISC, or university syllabi) for Class 11, 12, or undergraduate programs. Teach core topics in: Mathematics : Algebra, Calculus, Coordinate Geometry, Probability, Statistics, and Trigonometry for Class 11 and 12; advanced topics like Linear Algebra, Differential Equations, or Numerical Methods for higher levels. Economics : Microeconomics, Macroeconomics, Indian Economy, International Economics, and Econometrics for Class 11, 12, and higher levels. Statistics : Descriptive Statistics, Probability Distributions, Hypothesis Testing, Regression Analysis, and Time Series Analysis. Conduct live online and/or in-person lectures, ensuring interactive and engaging sessions. Employ varied teaching methodologies, including demonstrations, discussions, and problem-solving sessions, to cater to different learning styles. Prepare students for board exams, competitive exams, and higher education entrance tests by providing rigorous practice and conceptual clarity. Curriculum and Content Development : Create and update teaching materials, including lesson plans, assignments, worksheets, and practice papers. Suggest improvements to existing content to align with current syllabi and exam patterns. Develop supplementary resources, such as video tutorials or digital content, for online learning platforms. Student Assessment and Evaluation : Design and administer tests, quizzes, and assignments to evaluate student progress and mastery of concepts. Provide constructive feedback to students and guide them on improving academic performance. Track and report student progress to ensure alignment with course objectives and academic standards. Classroom and Behavior Management : Establish and maintain a positive, disciplined learning environment to foster student engagement. Address individual student needs, including support for students with special educational needs or disabilities (SEND). Encourage critical thinking, problem-solving, and analytical skills through interactive teaching methods. Administrative and Collaborative Duties : Coordinate with other faculty for interdisciplinary teaching (e.g., combining Economics with Statistics or Mathematics). Participate in faculty meetings, workshops, and professional development sessions to stay updated on teaching methodologies and curriculum changes. Work collaboratively with the academic team to ensure the institute’s educational goals are met. For higher-level teaching, supervise student projects or dissertations, if applicable. Additional Responsibilities : Provide career guidance and mentorship to students aspiring for careers in Mathematics, Economics, Statistics, or related fields (e.g., Data Science, Actuarial Science, or Finance). Maintain records of attendance, grades, and other academic metrics as required by the institute. Engage with parents or guardians to discuss student progress and address concerns, if needed. Work Schedule : Faculty are expected to teach 15–20 hours per week, including lectures and tutorials, with additional time for preparation, grading, and student consultations. Flexible hours may be required for online classes or special coaching sessions, especially during exam seasons. gl Commitment to Dr. Sourav Sir Classes Faculty members are expected to embody the institute’s mission of delivering high-quality education and fostering a passion for learning in Mathematics, Economics, and Statistics. They should inspire students to excel academically and develop critical skills for future success. Contact us at:8981679014

Department Profile From global institutions to hedge funds, investors come to Morgan Stanley for sales, trading, and market-making services in almost every type of financial instrument in all the world’s financial markets. Morgan Stanley professionals use our network and technology to provide liquidity and sophisticated analysis, to manage risk and execute reliably in the fast-changing markets. Morgan Stanley’s Institutional Equity Division (IED) is a world leader in the origination, distribution and trading of equity, equity-linked and equity-derivative securities. Our broad and deep client relationships, market-leading platform and intellectual insights enable us to be a world-class service provider to our clients for their financing, market access and portfolio management needs. Global Markets Group is the offshoring arm of Morgan Stanley’s Equity businesses in India. It covers functions across IED ranging from those associated with sales, trading, analytics, Strats to risk management. The Quantitative Research (QR) group designs, builds and maintains the models which drive the equity trading engines at Morgan Stanley. Our systems are used globally by both internal trading groups and clients of the firm. We utilize systematic, data-driven approaches to understand how markets work and put those ideas in action. The team spans the disciplines of finance, econometrics, statistics, mathematics, machine learning and data analysis, with many team members well versed in multiple areas. We are looking to hire highly talented, creative individuals who are enthusiastic about research; and enthusiastic about making a contribution to a leading-edge team, in an intellectually stimulating environment. Primary Responsibilities This role, based in Mumbai, requires the individual to work with global Morgan Stanley Quantitative Research teams. The successful candidate will be a fast-learning, dynamic, pro-active and self-motivated individual who can assist the team in maintaining and analyzing referential data, as well as generating ad hoc performance and market condition reports for clients. The expected working hours will be 7:30 Am (local time) 4:30 pm (local time) The key elements of the role are – Working on problems associated with Index rebalances such as data preparation from highly complex sources, estimation of flows, Quantitative and qualitative analysis and reporting. Working on complex client asks and creating reports around Index events, market structure changes Extensive data analysis and data engineering which includes Data preparation, Feature engineering, strategies /optimization Develop strategic solutions using quantitative techniques Construction of reusable components to process and access complex data Automation of quantitative methods and construction of complex data handling techniques which includes data from diverse data sources across the firm (-reduces time/space complexity) Explore large data handling applications and programming techniques Core Requirements We are looking for a confident and outgoing person, who has exceptional attention to detail and takes initiative. 2-4 years of experience in the financial sector with direct practical experience in equity markets Bachelor or Master's Degree in Finance, Economics or Mathematics (Including equivalents of CA, CFA, FRM, MMS, MBA). Engineering degree is preferred Able to demonstrate practical mastery of data analysis at scale Significant experience in any mathematical/high-level programming language such as Python/R Exposure/knowledge of different equity and equity derivatives products is desirabl Strong written and verbal communication skills Practical expertise in constructing data processing pipelines and constructing enriched datasets from diverse sources - internal as well as external Strong analytical and reasoning skills; able to decompose complex problems and projects into manageable pieces; comfortable suggesting and presenting solutions Complementary Skills Market knowledgeable on Index rebalances, Funds, ETFs, and mechanisms Experience with Linux, shell scripts, and automation Understanding of KDB+ or other databases, such as Sybase or Microsoft SQL Server What You Can Expect From Morgan Stanley We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

What's the role? HERE is searching for a Lead Data Scientist for our Foundation Engineering Development Group. You will be part of an engineering team that works closely with Data Scientists to develop Data extraction, Data visualization, Data labelling and Data validation software with a focus on continuous delivery. In this team, you will have opportunity to work on full stack development technologies and is an excellent opportunity to work with an energetic and dedicated team of software engineers and computer vision/machine learning experts on highly visible, technology-driven problems with a direct connection to the success of the company. The Lead Data Scientist in this team would have to be passionate about innovating and developing machine learning and data analytics solutions to build our industry-leading map. We provide the opportunity to collaborate with an energetic and dedicated team that works on cutting-edge technology to create tools and services. The candidate will work with researchers, developers, architects, IT to develop, deploy, and maintain applications in multiple environments. What You’ll Get Challenging problems to solve Opportunities to learn cool new things Work that makes a difference in the world Freedom to decide how to perform your work Variety in the types of projects Feedback so you will know how well you are doing Collaborative, Supportive Colleagues Responsibilities Help design and build the next iteration of process automation in HERE Core Map processes employing a highly scalable Big Data infrastructure and machine learning as applied to global-scale digital map-making. Build and test analytic and statistical models to improve a wide variety of both internal data-driven processes for map-maing data decisions and system control needs. Act as an expert and evangelist in areas of data mining, machine learning, statistics, and predictive analysis and modeling. Function as a predictive modeling or application team lead on Core Map projects. Who are you? Requirements MS or PhD in a discipline such as Statistics, Applied Mathematics, Computer Science, or Econometrics with an emphasis or thesis work on one or more of the following: computational statistics/science/engineering, data mining, machine learning, and optimization. Minimum of 8+ years related professional experience. Knowledge of data mining and analytic methods such as regression, classifiers, clustering, association rules, decision trees, Bayesian network analysis, etc. Should have expert-level knowledge in one or more of these areas. Knowledge of Computer Vision, Deep Learning and Point Cloud Processing algorithms. Proficiency with a statistical analysis package and associated scripting language such as Python, R, Matlab, SAS, etc. Programming experience with SQL, shell script, Python, etc. Knowledge of and ideally some experience with tools such as Pig, Hive, etc., for working with big data in Hadoop and/or Spark for data extraction and data prep for analysis. Experience with and demonstrated capability to effectively interact with both internal and external customer executives, technical and non-technical to explain uses and value of predictive systems and techniques. Demonstrated proficiency with understanding, specifying and explaining predictive modeling solutions and organizing teams of other data scientists and engineers to execute projects delivering those solutions. Preferred Qualifications Development experience with and Scala Development experience with Docker Development experience with GIS data Development experience with NoSQL (i.e. DynamoDB) Who are we? HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely. At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people’s lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel. In this role you be part of the Content Automation group. You will work alongside high energy, innovative teams leveraging cutting edge technology to identify new technologies, processes, and sources to build the best-in-class high definition map used in autonomous driving. You will be enabling one of the largest technological and cultural shifts in the modern world, creating enhanced road safety, reduced congestion, lower emissions, and expanded mobility, paving the way for a more efficient and sustainable transportation future.

Primary Function As a Senior Data Scientist, you will: Work collaboratively with the engineering and product teams. Communicate and articulate complex issues & technologies easily to stakeholders at different levels. Think through problems and drive solutions from inception to shipment. Keeping abreast of research trends in the field of Deep Learning/vision/NLP. Looking for someone with hands-on experience in Computer Vision — it's a must have experience for this role. Qualification & Competency: Bachelors or above in Data Science, Mathematics, Statistics, Econometrics, Computer Science or a related field. 3-6 years of experience in building complete ML products ; from the problem analysis and data selection to their production deployment and monitoring for progressive enhancements and drifts from business impact. Theoretical knowledge and hands-on experience in deep learning/computer vision/NLP Ability to rapidly prototype and evaluate algorithms. Experience on working with text only and multimodel SLMs will be a big plus. This involves finetuning and building robust eval pipelines specific to use cases. Experience with deep learning frameworks such as Keras, PyTorch and TensorFlow. Good programming skills is a must, especially skills relevant to building robust ML models. Domain experience in Fintech is preferred, but not mandatory. Experience of publishing in top-tier conferences and journals will be considered a plus.

Company Overview Bain & Company is a global consultancy that helps the world’s most ambitious change makers define the future. Across 59 offices in 37 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. We are passionate about achieving results for our clients (our public clients have historically outperformed the stock market 4:1). We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents. Department Overview The Reporting and Analytics CoE is an integral part of Bain’s global PPK group (Product, Practice and Knowledge). The team is responsible for bringing various functional reporting pieces under one umbrella to provide integrated and centralized reporting to the firm leadership on various aspects of the firm performance. Position Summary PPK Reporting & Analytics CoE has experienced strong growth as an internal business intelligence and analytics business over the past five years. Given the expansion of the team, we are looking for a Senior Specialist to join our Global Financial Planning and Analysis teamlet to help drive its analytical capabilities to full potential over the next phase. Specific Responsibilities * Support the development of reporting solutions using Alteryx, Power BI/ Tableau, and similar tools. Focus on generating actionable insights under the guidance of supervisor, ensuring that outputs meet the needs of stakeholders. * Assist in automating reporting processes to improve operational efficiency and support routine business activities. * Take responsibility for independently delivering complex tasks or smaller components within larger projects. Ensure tasks are completed on time and meet quality standards, while receiving direction and feedback from the supervisor. * Participate in cross-functional teams, offering support in analytics and business intelligence. Help gather and prepare data, and deliver insights that assist Managers and Senior Managers in shaping solutions and providing recommendations * Work on implementing best practices in automation and business intelligence reporting within the team. Ensure consistency and quality in deliverables, adhering to established standards. * Contribute to innovation efforts by bringing ideas and assisting in the execution of projects that align with the firm’s goals. * Actively engage in promoting a positive and collaborative team environment. Support initiatives led by Managers that reinforce the values and culture of the team. * Provide guidance and mentorship to junior team members, helping them develop their skills and align their work with project goals. * Assist in the recruitment process and contribute to the smooth onboarding of new team members, ensuring they quickly become effective members of the team. Qualifications * 7-9 years (graduates) or 5-7 years (post-graduates) of relevant experience in data analytics, business intelligence, and reporting solutions development, with a strong focus on leveraging tools like Alteryx, Power BI and Tableau. * Proficiency in using data visualization tools (e.g., Tableau, Power BI) with a solid understanding of best practices in data-driven reporting. * Competence in SQL, with experience in optimizing queries that meet project-specific needs. * Prior experience working in the Finance function or a basic understanding of finance function fundamentals is preferred * Concentration in a quantitative discipline such as Statistics, Mathematics, Engineering, Computer Science, Econometrics, Business Analytics. * Strong problem-solving skills with the ability to develop innovative solutions for complex data analytics challenges and contribute to the continuous improvement of reporting processes. * Understanding of data structures, algorithms, and basic programming principles, with the ability to apply these in the context of data analytics and reporting solutions. * Demonstrated ability to contribute to the development and deployment of reporting solutions and data analytics products that enhance business intelligence and support decision-making * Strong interpersonal and communication skills, with the ability to collaborate effectively with team members and articulate technical aspects of data solutions and automation techniques to colleagues. * Demonstrated curiosity, proactivity, and critical thinking, with a commitment to learning about emerging trends in data analytics and AI, and applying these insights to improve project outcomes. * Experience working in an agile environment, with the ability to handle changing priorities and contribute effectively to project tasks in a fast-paced setting. * Ability to collaborate with stakeholders within a department or practice area, across different offices and regions, ensuring that analytics solutions are aligned with the specific business needs of the teams involved. * Good to have a working knowledge of Python, particularly in automating reporting processes and data processing tasks and experience in implementing straightforward AI models for specific tasks using tools like ChatGPT.

Designation: Applied Microeconomics Faculty The faculty will be responsible for teaching students preparing for various entrance exams/ competitive economics exams, preparing study material, making question papers, and any other work of similar nature assigned by the company. The subject knowledge in Applied Economics , welfare economics, etc. Key Responsibilities: 1. Instruction Delivery: Deliver engaging and interactive lectures, presentations, and discussions on various topics in economics, such as microeconomics, macroeconomics, econometrics, and economic theory. Utilize effective teaching methodologies and strategies to enhance student learning and comprehension. 2. Academic Support: Assist students in understanding complex economic theories, principles, and applications through individualized guidance and mentoring. Address student queries, provide clarification, and offer additional resources to support their learning needs. Essential Requirement: 1. Must have qualified in UGC NET in economics 2. Proficiency in instructional design and delivery methods(content delivery). 3. Who have appeared for the IES(Indian Economics Services) Exam will be given preference Type: Work from Home Work type: Full time / Part time

Senior Applied Scientist Hyderabad, Telangana, India Date posted Jul 07, 2025 Job number 1829062 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Applied Sciences Employment type Full-Time Overview Are you passionate about shaping the future applications of AI and empowering millions of users to unlock their full potential? The OneNote team is at the forefront of an exciting transformation with Copilot Notebooks: intelligent, dynamic notebooks infused with powerful AI that act as a true "second brain." Imagine effortlessly capturing ideas, intuitively understanding complex information, and seamlessly taking informed action. This is the heart of our mission. As a Senior Applied Scientist working in OneNote team, your core mission is to deliver high quality AI-scenarios for Copilot Notebooks. You’ll be responsible for adopting the latest ML technologies, measuring the impact of models and working with product teams to design AI-powered experiences. We are looking for candidates who are creative, self-driven, curious, people-oriented and comfortable defining a path through ambiguity towards high-level goals. This opportunity will allow you to work in an exciting and fast-paced environment, collaborating closely with teams across multiple organizations and ship products globally. You’ll have access to the latest models, research and ML techniques that you can bring to the product teams, as well as opportunities to contribute back to the scientific community (via presentations etc). Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 3+ years of experience in machine learning, deep learning, natural language processing, computer vision, and/or statistics. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: 5+ years of experience in end-to-end development for building, shipping, and iterating on high-impact ML models. Proficiency in Python and familiarity with coding in multiple languages. Proficiency in using ML libraries from sources such as Hugging Face. Expertise in implementing, training, and debugging transformer-based ML models and other related tools and technologies for building and shipping large language models (LLM) applications. Published papers in reputed ML conferences and/or contributions to open-source ML projects is a plus. Effective communication skills, maintaining customer experience and quality along with the ability to work across groups and disciplines. Ability to quickly ramp up on various domains within Machine Learning. Experience shipping high-quality products at scale is a plus. Responsibilities Come up with evaluation techniques, datasets and metrics to measure the impact of the latest models on product scenarios. Work with product teams in designing AI-powered experiences. Collaborate with research teams to adopt the latest ML technologies into the product. Push the boundaries of AI innovation by partnering with platform teams and working with frontier models. Build and deploy Machine Learning (ML) models, create data pipelines, and manage training and test datasets. Foster a healthy and inclusive team environment, provide technical guidance to other applied scientists, and act as a mentor Participate in onboarding of junior team members and assist in developing academics to the members of multidiscipline teams. You’ll identify new research talent to join Microsoft and collaborate with the academic community to develop the recruiting pipeline. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

About The Opportunity A fast-growing digital publishing and academic research services firm in the higher-education and EdTech sector, we partner with global universities, policy institutes, and scholarly journals to deliver authoritative economic analysis and instructional content. Leveraging remote-first processes and rigorous peer-review standards, we translate complex economic theory into accessible, high-impact publications that inform decision-makers and inspire learners. Role & Responsibilities Produce well-structured articles, policy briefs, and textbook chapters covering microeconomics, macroeconomics, development, and applied econometrics. Convert dense research findings into engaging narratives supported by data visualisations, tables, and real-world case studies. Conduct comprehensive literature surveys, identify evidence gaps, and weave insights into cohesive storylines aligned with client guidelines. Apply econometric techniques to clean datasets, run regressions, and interpret results for publication-ready deliverables. Ensure all manuscripts meet style, citation, and plagiarism standards; liaise with editors for iterative revisions. Collaborate with subject-matter experts, instructional designers, and graphic artists to package content for multi-format release (web, print, interactive). Skills & Qualifications Must-Have Master’s, MPhil, or PhD in Economics or closely related discipline. 2+ years academic or professional writing experience with peer-reviewed output. Proficiency in econometric software (Stata, R, or Python) and advanced Excel. Demonstrated ability to translate quantitative analysis into clear, concise prose. Strong command of APA/Chicago citation and scholarly ethics. Self-driven, deadline-oriented, and comfortable working across time zones. Preferred Publication record in SSCI-indexed journals or leading policy forums. Familiarity with open-access publishing workflows and CMS platforms. Knowledge of AI-assisted writing, data-visualisation tools, or LaTeX. Benefits & Culture Highlights 100% remote, flexible scheduling around research or teaching commitments. Performance-based compensation with bonus for high-impact publications. Access to global peer community, training grants, and conference sponsorships. Skills: economic analysis,economics,journals,chicago citation,critical thinking,python,advanced excel,academic writing,econometrics,r,data analysis,research,data visualization,statistical modeling,apa citation,stata

Job Description Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view. Join our dynamic team in Mumbai/Bengaluru for an exciting opportunity in a fast-paced environment. As an experienced quant, you will partner with the Business to provide insights across roles like derivative quant and electronic trading quant. Collaborate with trading desks, product managers, and technology teams to create analytical tools and ensure regulatory compliance. Benefit from extensive training and unique growth opportunities to advance your career. If you're passionate and ready to make an impact, we want you on our team. As a Quantitative Research Associate/Vice President within the QR team, you will partner with the Business to provide a comprehensive view, develop and maintain sophisticated mathematical models, and collaborate with trading desks, product managers, and technology teams to create analytical tools and quantitative trading models. You will also work with control functions to ensure compliance with regulatory requirements, while benefiting from on-the-job training and growth opportunities. If you are passionate, curious and ready to make an impact, we are looking for you. Job Responsibilities Develop and maintain sophisticated mathematical models to value and hedge financial transactions ranging from vanilla flow products to complex derivative deals Improve the performance of algorithmic trading strategies and promote advanced electronic solutions to our clients worldwide Collaborate with risk functions to develop models for market and credit risk the bank is exposed to, across various lines of business Build cutting-edge methodologies and infrastructure to implement our models in production Required Qualifications, Capabilities And Skills You have a degree in engineering, financial engineering, computer science, mathematics, sciences, statistics, econometrics, or other quantitative fields You have strong quantitative, analytical and problem-solving skills You have a strong background in the following topics – calculus, linear algebra, probability, and statistics You demonstrate proficiency in at least one of the object-oriented programming languages, like C++ or Java, and are good at Python You have knowledge of data structures and algorithms You can work independently as well as in a team environment You think strategically and creatively when faced with problems and opportunities Your excellent communication skills, both verbal and written, can engage and influence partners and stakeholders Preferred Qualifications, Capabilities And Skills Markets experience and general trading concepts and terminology is useful to be familiar with Knowledge of different types of financial products and asset classes like Fixed Income, Credit, Commodities, Equities Background in computer algorithms, python, and specialization (or significant coursework) in low level systems (operating systems, compilers, GPUs, etc.) Knowledge of options pricing theory, trading algorithms, financial regulations, stochastic calculus, machine learning, or high-performance computing would be a plus ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

About this role About Aladdin Data: Aladdin Data team is a part of BlackRocks Aladdin platform, which is a comprehensive investment and risk management system. The team is responsible for various aspects of data management and analytics delivery for our clients and BlackRock within the Aladdin ecosystem. About the Analytics Stewardship Team Analytics Stewardship team brings together the functional expertise and responsibilities within the Aladdin Data organization to ensure Aladdin s investment and risk analytics meets highest standard of quality and are delivered at scale. Analytics Stewards works along with Client Business, Product, Engineering, and broader Aladdin Data teams on design, improvement, development and deployment of new and existing analytics. Leveraging financial market and analytics subject matter expertise, data science and engineering knowledge, and data governance principles, the team designs and supports Analytics Data solutions, which spans across quality management, change management, meta data management, incident/inquiry management and commercialization of analytics data assets. Responsibilities : Act as an owner of analytics data supported by Aladdin Data platform. Aspire to grow & improve the analytics data assets and increase their commercial value. Own the change management across analytics estate partnering with various analytics collaborators to ensure analytics integrity Apply advanced analytics and interpersonal skills to collaborate with analytics collaborators and articulate clear specifications for change management Deep understanding of risk models across asset classes, securities & portfolios and other levers impacting the analytical outcomes Develop analytics attribution framework by applying data science & AI/ML techniques advancing analytics governance practices Collaborate with broader Aladdin team to scale and advance Aladdin s analytical capabilities Work with analytics, modeling, and risk management teams to ensure new models meet business requirements and are aligned with data management policies Be the custodian of core & premium analytics - ensuring analytics generated meets all quality and governance standards Lead by example to work with other data governance & quality control teams to build scalable processes to improve overall framework for analytics generation Mentor and train junior analysts as they build expertise and gain exposure Experience : Candidates must have a validated history of addressing challenging real-world issues in investment and risk management sector. The individual will need to apply their advanced quantitative abilities to lead all aspects of sophisticated analytical initiatives sought at improving the analytics estate 12+ years of experience in the financial services industry in a Data Analytics/Data Science oriented role with knowledge of risk & investment workflows & products Proven track record of working with financial markets, investment and risk analytics, modeling, and data engineering & management functions Proven track record of using data science & AI/ML techniques to solve sophisticated analytics problems in financial industry Experience in leading cross-functional initiatives, with strong communication skills and project management ability Experience in various modelling techniques, econometrics/statistics is desirable Strong analytical skills, attention to detail, and the ability to work as part of a team in a fast-paced environment Excellent interpersonal, oral, and written communication skills Skills & Qualification Degree in Engineering, Finance, Mathematics, or other quantitative field of study preferred. Bachelor s degree is required. Advance degree preferred Excellent quantitative and analytics skills. Ability to identify problems, design and articulate solutions, and implement end to end solutions Experience in various modelling techniques, econometrics/statistics is desirable Technical proficiency and experience in using data science, AI/ML techniques to solve problems in financial domains specifically in data & modeling space Diligent, organized, dedicated and committed to lead multiple projects Ability to prioritize and meet deadlines while multi-tasking with strong interpersonal skills Extensive knowledge & understanding of financial markets, data, analytics & processes inspiring change in analytics (data, markets, models, configurations etc.) Our benefits . Our hybrid work model . .