775 Econometrics Jobs - Page 13

Are you passionate about creating innovative solutions that empower users to achieve more with Office applications? Do you have a strong background in natural language processing, generative AI, and engineering? If so, we are looking for a Senior Applied Scientist to join our team of data and applied science engineers working at the intersection of generative AI and engineering for Office. In this role, you will drive cutting-edge projects, contribute to the Copilot ecosystem, and help shape the Agentic future with one of the most widely used software products in the world. 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 Applied Research & Development: Design and implement machine learning models and algorithms that improve search, summarization, and content understanding in Office applications. Stay current with advancements in NLP and generative AI to inform product innovation. Model Development & Deployment: Build and optimize ML/DL models using frameworks like PyTorch or TensorFlow. Contribute to the deployment of models in production environments, ensuring scalability and performance. Cross-Functional Collaboration: Work closely with engineering, product, and research teams to define goals, align on priorities, and deliver impactful features. Translate business needs into technical solutions. Experimentation & Evaluation: Conduct experiments to evaluate model performance, analyze results, and iterate on solutions. Use data-driven insights to improve precision, recall, and user satisfaction. Innovation & Impact: Explore new signals, data sources, and modeling techniques to enhance intelligent systems. Contribute to the evolution of the Copilot ecosystem and agentic experiences in Office. 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. Experience: 4+ years of industry experience in applied machine learning or data science roles. Technical Skills: Proficiency in Python and ML libraries (e.g., PyTorch, TensorFlow). Experience with NLP, generative models, or content understanding is highly desirable. Communication: Strong written and verbal communication skills. Ability to explain complex technical concepts to non-technical stakeholders. Problem Solving: Demonstrated ability to tackle open-ended problems and deliver practical, scalable solutions. Preferred Qualifications Master’s degree with 6+ years of experience or Ph.D. with 3+ years of experience in a relevant field. Experience contributing to research publications, patents, or open-source projects. Hands-on experience deploying ML models in production environments. Familiarity with the full product lifecycle, from ideation to deployment and iteration. 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.

Company Description CrystalVoxx Global LLP is a healthcare econometrics company offering Medical Billing and Coding Services for individual and group practices. With a focus on revenue cycle improvement and financial performance enhancement, we provide a range of services from insurance credentialing to claims scrubbing and denial management. Our process workflow ensures no money is left uncollected, supported by smarter analytics and technology. Join the Crystalvoxx team as a fresh graduate! Shift: Night shift (5:30 PM- 2:30 AM) Location: Unicus Shyamal, Ahmedabad Role Description This is a full-time on-site role for an AR Trainee I located in Nagpur. Job Responsibilities/roles:-  AR follow up/Insurance calling - Medical billing company  Denial management  Responsible for calling Insurance companies (in the US) on behalf of Physicians/Clinics/Hospitals and follow up on outstanding Accounts Receivables  Should be able to convince the insurance company (payers) for payment of their outstanding claims  Sound knowledge in U.S. Healthcare Domain (provider side) and methods for improvement on the same  Should have basic knowledge of the entire Revenue Cycle Management  Manage & develop collaterals as required  To check with Team Leader for client updates  Meeting all set productivity and quality targets with TAT  Identify issues and escalate the same to the Team Leader/Manager  Update Production logs  Adherence to company policies, rules and regulations  To follow quality processes using checklist Qualifications Strong Communication skills Bachelor's degree (except for B.Tech) Basic knowledge o MS Excel Interested candidates can share their resume at veena.k@crystalvoxx.com or at 7567202888

Location: Remote | Commitment: Full-time Company Overview Insight Fusion Analytics turns complex data into actionable insight for clients across finance, retail, and professional sport. Our sports-analytics unit builds predictive systems that transform raw match, athlete, and biomechanical data into winning strategies. Role Summary We’re hiring a Lead Statistician with deep expertise in sports prediction to architect, validate, and continuously refine our forecasting engines. You’ll own the statistical core—from feature-engineering pipelines through probabilistic calibration—working with ML engineers and domain analysts to produce production-ready forecasts that thrive in real-world conditions. What You’ll Do Model Architecture & Validation – Design Bayesian and frequentist frameworks (hierarchical Elo, Poisson-Gamma, state-space models) and build leakage-proof cross-validation strategies. Feature Engineering & Experimental Design – Derive advanced spatio-temporal, biometric, and contextual features; run A/B and multivariate tests to quantify lift. Uncertainty Quantification – Produce calibrated predictive intervals, scenario simulations, and decision-theoretic metrics (Brier, CRPS, EVaR). Mentorship & Review – Set statistical standards, review code/notebooks, and mentor junior analysts. Stakeholder Communication – Translate complex statistical results into concise recommendations for coaches, product managers, and executives. Must-Have Qualifications 8+ years professional experience (or PhD + 5 years ) in applied statistics, econometrics, or quantitative social science. Documented track record building sports prediction systems. Expert proficiency with Python (NumPy, SciPy, Pandas, statsmodels, PyMC/Stan) and SQL; R a plus. Mastery of resampling methods, hierarchical models, time-series analysis, Monte-Carlo simulation, and causal inference. Proven success preventing data leakage and look-ahead bias in live pipelines. Strong communication skills for both technical and non-technical audiences. Nice-to-Have Familiarity with deep-learning frameworks (TensorFlow/PyTorch) for hybrid stat-ML architectures. Experience deploying models on AWS, GCP, or Azure using containerized workflows. Publications or conference talks in sports analytics (MIT Sloan, NESSIS, MathSport). How to Apply Send the following to insightfusionanalytics@gmail.com : CV highlighting sports-analytics projects and publications. Portfolio or repo links demonstrating end-to-end statistical modelling for sports prediction. A one-page brief describing your proudest predictive model: objective, methodology, error analysis, and business impact.

We are the computational advertising team in the Microsoft AI organization at Microsoft. We are looking for candidates with research and applied experience in machine learning related areas. Search advertising is a $100 billion market worldwide. Microsoft's Bing search engine supports over 30% of desktop search in the US, with similarly significant presence in many other countries. We are a team of applied scientists working on machine learning components in the whole sponsored search stack. Our team works on problems related to machine learning, deep learning, natural language processing, image understanding, optimization, information retrieval, among others. Our work entails building large-scale machine learning systems for user response modelling, ranking, and a number of other ML-driven business problems. The Applied Scientist II will design, implement, analyze, tune complex algorithms and ML systems and the supporting infrastructure for operating on large datasets. They will collaborate with top machine learning scientists and engineers in delivering direct business impact. We're looking for sound understanding and insight into productionizing machine learning models in large-scale systems, an ability to pick up new technical areas, as well as a commitment to developing, delivering, and supporting algorithms in production 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 Design and develop large scale online and offline platform tools for Ads related products. Develop novel algorithms in the space of sponsored search to constantly improve the operational efficacy and monetization impact to stake holders . Architect new designs and develop features for cloud-based applications. Analyze Giga/Tera bytes of logs and create observation/opportunities and avenues of improvements in the system. Ideate on newer aspects of advertising avenues and augment the platform with richer products for the stake holders. Qualifications Required Qualifications: Bachelor'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 Master's Degree 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 Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience. Solid understanding of probability, statistics, machine learning, data science, A/B testing & analysis of ML models, and optimizing models for accuracy. Experience with end-to-end system design: data analysis, feature engineering, technique selection & implementation, debugging, and maintenance in production. 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 with Hadoop, Spark, or other distributed computing systems for large-scale training & prediction with ML models. Experience implementing machine learning algorithms or research papers from scratch. Experience with TensorFlow/PyTorch and deep learning models. #MicrosoftAI 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.

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage and passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. Insights & Analytics ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership. What You’ll Do Develop a deep understanding of client business issues and design appropriate market research studies Leverage analytic techniques on primary and secondary data to guide client and ZS team decision-making; Leverage quantitative skills to derive answers to clients' ongoing business analytics and reporting questions. Work collaboratively with clients to ascertain the client’s specific business information needs. Execute a specific plan for analyzing the data necessary to secure solutions to clients’ particular business information need(s). Discuss and determine with clients which specific data may be best utilized in order to perform the necessary analysis. Evaluate, assess and analyze the data necessary to provide solutions to the client’s particular business information needs. Communicate the data results to the client, with an emphasis on answering the business question as opposed to the analytical and reporting processes used. Gain immediate familiarity with client’s internal processes. Develop expertise within a client analytics area. Be available for clients during regular working hours. What You’ll Bring MBA with a bachelor's (and often graduate) degree in a quantitative, analytical discipline, such as Operations Research, Applied Mathematics, Management Science, Data Science, Statistics, Econometrics, or Engineering. Alternately, candidates may possess a PhD in marketing, economics, decision sciences or related field with a business application. In lieu of an MBA or PhD, 5-8 years of relevant work experience may substitute. Up to 3 years of post-MBA relevant work experience, and 3-5 years of pre-MBA relevant work experience, with evidence of strong analytic work (including use of advanced modeling techniques and tools such as R, SAS, Tableau, or VBA High motivation, good work ethic, maturity and personal initiative Aptitude for, and enjoyment of, leading and managing teams. Effective oral and written communication skills that enable personal impact with senior-level decision makers. Strong attention to detail, with a quality-focused mindset Analytic problem-solving skills, with a creative and innovative outlook Client service orientation Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel: Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying? At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application: Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At: www.zs.com

About This Role About Aladdin Data: Aladdin Data team is a part of BlackRock's 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 To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.

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 we'll 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 (eg, Computer Science, Statistics, Econometrics, Engineering, Mathematics, Operations Research). ME/MTech preferred

Job Description GDIA Mission and Scope- The Global Data Insights and Analytics (GDI&A) department at Ford Motor Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics. Potential candidates should have hands-on experience in applying first principles methods, machine learning, data mining, and text mining techniques to build analytics prototypes that work on massive datasets. Candidates should have experience in manipulating both structured and unstructured data in various formats, sizes, and storage-mechanisms. Candidates should have excellent problem-solving skills with an inquisitive mind to challenge existing practices. Candidates should have exposure to multiple programming languages and analytical tools and be flexible to using the requisite tools/languages for the problem at-hand. Responsibilities Key Roles and Responsibilities of Position: Build data-driven models to understand the characteristics of engineering systems Apply machine learning, data mining and text mining techniques to create scalable solutions for business problems Train, tune, validate, and monitor predictive models Analyze and extract relevant information from large amounts of historical business data especially related to quality, product development, and connected vehicles, both in structured and unstructured formats Establish scalable, efficient, automated processes for large scale data analyses Package and present the findings and communicate with large cross-functional teams Qualifications Qualifications: BE, B.Tech, M.S. or Ph.D. in Engineering, Computer Science, Operations research, Statistics, Applied mathematics, or in a related field 3+ years of experience in at least one of the following languages: Python, R, MATLAB, SAS 3+ years of hands-on experience in using machine learning/text mining tools and techniques such as Clustering/classification/decision trees, Random forests, Support vector machines, Deep Learning, Neural networks, Reinforcement learning, and other numerical algorithms Experience with GoogleCloud Platform (GCP) including VertexAI, BigQuery, DBT, NoSQL database Excellent problem solving, communication, and data presentation skills

GDIA Mission and Scope- The Global Data Insights and Analytics (GDI&A) department at Ford Motor Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics. Potential candidates should have hands-on experience in applying first principles methods, machine learning, data mining, and text mining techniques to build analytics prototypes that work on massive datasets. Candidates should have experience in manipulating both structured and unstructured data in various formats, sizes, and storage-mechanisms. Candidates should have excellent problem-solving skills with an inquisitive mind to challenge existing practices. Candidates should have exposure to multiple programming languages and analytical tools and be flexible to using the requisite tools/languages for the problem at-hand. Qualifications: BE, B.Tech, M.S. or Ph.D. in Engineering, Computer Science, Operations research, Statistics, Applied mathematics, or in a related field 3+ years of experience in at least one of the following languages: Python, R, MATLAB, SAS 3+ years of hands-on experience in using machine learning/text mining tools and techniques such as Clustering/classification/decision trees, Random forests, Support vector machines, Deep Learning, Neural networks, Reinforcement learning, and other numerical algorithms Experience with GoogleCloud Platform (GCP) including VertexAI, BigQuery, DBT, NoSQL database Excellent problem solving, communication, and data presentation skills Key Roles and Responsibilities of Position: Build data-driven models to understand the characteristics of engineering systems Apply machine learning, data mining and text mining techniques to create scalable solutions for business problems Train, tune, validate, and monitor predictive models Analyze and extract relevant information from large amounts of historical business data especially related to quality, product development, and connected vehicles, both in structured and unstructured formats Establish scalable, efficient, automated processes for large scale data analyses Package and present the findings and communicate with large cross-functional teams

Are you passionate about creating innovative solutions that empower users to achieve more with Office applications? Do you have a strong background in natural language processing, generative AI, and engineering? If so, we are looking for a Senior Applied Scientist to join our team of data and applied science engineers working at the intersection of generative AI and engineering for Office. In this role, you will drive cutting-edge projects, contribute to the Copilot ecosystem, and help shape the Agentic future with one of the most widely used software products in the world. 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 Applied Research & Development: Design and implement machine learning models and algorithms that improve search, summarization, and content understanding in Office applications. Stay current with advancements in NLP and generative AI to inform product innovation. Model Development & Deployment: Build and optimize ML/DL models using frameworks like PyTorch or TensorFlow. Contribute to the deployment of models in production environments, ensuring scalability and performance. Cross-Functional Collaboration: Work closely with engineering, product, and research teams to define goals, align on priorities, and deliver impactful features. Translate business needs into technical solutions. Experimentation & Evaluation: Conduct experiments to evaluate model performance, analyze results, and iterate on solutions. Use data-driven insights to improve precision, recall, and user satisfaction. Innovation & Impact: Explore new signals, data sources, and modeling techniques to enhance intelligent systems. Contribute to the evolution of the Copilot ecosystem and agentic experiences in Office. 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. Experience: 4+ years of industry experience in applied machine learning or data science roles. Technical Skills: Proficiency in Python and ML libraries (e.g., PyTorch, TensorFlow). Experience with NLP, generative models, or content understanding is highly desirable. Communication: Strong written and verbal communication skills. Ability to explain complex technical concepts to non-technical stakeholders. Problem Solving: Demonstrated ability to tackle open-ended problems and deliver practical, scalable solutions. Preferred Qualifications: Master’s degree with 6+ years of experience or Ph.D. with 3+ years of experience in a relevant field. Experience contributing to research publications, patents, or open-source projects. Hands-on experience deploying ML models in production environments. Familiarity with the full product lifecycle, from ideation to deployment and iteration. 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.

Designation: Marcoeconomics 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 Macro Economics , international 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 cleared any competitive exam or may have taught for any will be given preference Type: Work from Home Work type: Full time / Part time

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Advisory Services Financial Services Office – Financial Services Risk Management (FSRM) – Credit Risk – Senior Consultant Description EY's Financial Services Office (FSO) is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional capability and product knowledge. FSO practice provides integrated advisory services to financial institutions and other capital markets participants, including commercial banks, investment banks, broker-dealers, asset managers (traditional and alternative), insurance and energy trading companies, and the Corporate Treasury functions of leading Fortune 500 Companies. The service offerings provided by the FSO Advisory include: market, credit and operational risk management, regulatory advisory, quantitative advisory, structured finance transaction, actuarial advisory, technology enablement, risk and security, program advisory, and process & controls. Within EY’s FSO Advisory Practice, the Financial Services Risk Management (FSRM) group provides solutions that can help FSO clients to identify, measure, manage and monitor the market (trading book), credit (banking book), operational, and regulatory risks associated with their trading, asset-liability management, capital management and other capital markets activities. Within FSRM, the Credit Risk (CR) team assists clients to design and implement strategic and functional changes and regulatory changes across risk management within the banking book portfolio. Clients include large domestic and global financial institutions and banking organizations. Key Responsibilities Demonstrate deep technical capabilities and industry knowledge of financial products, in particular lending products Understand market trends and demands in the financial services sector and issues faced by clients by staying abreast of current business and industry trends relevant to the client's business Monitor progress, manage risk, and effectively communicate with key stakeholders regarding status, issues and key priorities to achieve expected outcomes Play an active role in mentoring junior consultants within the organization Required to review, analyse and concur with tasks completed by junior staff Flexibility to work across projects involving model audits, validation and development activities Qualifications, Certifications And Education Must-have: Postgraduate (masters in accounting, finance, economics, statistics or a related field) with at least 3 years of related work experience in financial institutions or consulting firms Complete, end-to-end understanding of credit risk model development validation and/or implementation for the banking book portfolio Knowledge of Credit Risk and Risk Analytics techniques is desirable Should have hands on experience in data preparation, including remediation, manipulation, and consolidation. Strong knowledge in regulatory modelling with model development/validation experience. Prior experience on ECB/PRA/HKMA/Regulators following IRB regulations is desirable Understanding of PD, LGD, EAD modelling with expertise in PD or LGD or EAD modelling Strong documentation skills. Required to be adept in quickly grasping key details and summarizing them in a presentation or document. Strong background in statistics and econometrics. Specially - Logistic regression, Linear regression, Fractional Response, Decision Tree Should be able to take initiative and work independently with minimal supervision, if required Strong technical skills, highly proficient SAS with preference for SAS Certified Professionals (Advanced SAS w SAS SQL, macros), Advanced Python (Pandas, Numpy, ScikitLearn, Object Oriented Programming, Parallel Processing), Excel Good-to-have: Certifications such as FRM, CFA, PRM, SCR, RAI Proficiency in Java/C++ Experience in Data/Business Intelligence (BI) Reporting Good to have knowledge in Machine Learning models and its applications. Willingness to travel to meet client needs Previous project management experience EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Advisory Services Financial Services Office – Financial Services Risk Management (FSRM) – Credit Risk – Senior Consultant Description EY's Financial Services Office (FSO) is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional capability and product knowledge. FSO practice provides integrated advisory services to financial institutions and other capital markets participants, including commercial banks, investment banks, broker-dealers, asset managers (traditional and alternative), insurance and energy trading companies, and the Corporate Treasury functions of leading Fortune 500 Companies. The service offerings provided by the FSO Advisory include: market, credit and operational risk management, regulatory advisory, quantitative advisory, structured finance transaction, actuarial advisory, technology enablement, risk and security, program advisory, and process & controls. Within EY’s FSO Advisory Practice, the Financial Services Risk Management (FSRM) group provides solutions that can help FSO clients to identify, measure, manage and monitor the market (trading book), credit (banking book), operational, and regulatory risks associated with their trading, asset-liability management, capital management and other capital markets activities. Within FSRM, the Credit Risk (CR) team assists clients to design and implement strategic and functional changes and regulatory changes across risk management within the banking book portfolio. Clients include large domestic and global financial institutions and banking organizations. Key Responsibilities Demonstrate deep technical capabilities and industry knowledge of financial products, in particular lending products Understand market trends and demands in the financial services sector and issues faced by clients by staying abreast of current business and industry trends relevant to the client's business Monitor progress, manage risk, and effectively communicate with key stakeholders regarding status, issues and key priorities to achieve expected outcomes Play an active role in mentoring junior consultants within the organization Required to review, analyse and concur with tasks completed by junior staff Flexibility to work across projects involving model audits, validation and development activities Qualifications, Certifications And Education Must-have: Postgraduate (masters in accounting, finance, economics, statistics or a related field) with at least 3 years of related work experience in financial institutions or consulting firms Complete, end-to-end understanding of credit risk model development validation and/or implementation for the banking book portfolio Knowledge of Credit Risk and Risk Analytics techniques is desirable Should have hands on experience in data preparation, including remediation, manipulation, and consolidation. Strong knowledge in regulatory modelling with model development/validation experience. Prior experience on ECB/PRA/HKMA/Regulators following IRB regulations is desirable Understanding of PD, LGD, EAD modelling with expertise in PD or LGD or EAD modelling Strong documentation skills. Required to be adept in quickly grasping key details and summarizing them in a presentation or document. Strong background in statistics and econometrics. Specially - Logistic regression, Linear regression, Fractional Response, Decision Tree Should be able to take initiative and work independently with minimal supervision, if required Strong technical skills, highly proficient SAS with preference for SAS Certified Professionals (Advanced SAS w SAS SQL, macros), Advanced Python (Pandas, Numpy, ScikitLearn, Object Oriented Programming, Parallel Processing), Excel Good-to-have: Certifications such as FRM, CFA, PRM, SCR, RAI Proficiency in Java/C++ Experience in Data/Business Intelligence (BI) Reporting Good to have knowledge in Machine Learning models and its applications. Willingness to travel to meet client needs Previous project management experience EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Advisory Services Financial Services Office – Financial Services Risk Management (FSRM) – Credit Risk – Senior Consultant Description EY's Financial Services Office (FSO) is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional capability and product knowledge. FSO practice provides integrated advisory services to financial institutions and other capital markets participants, including commercial banks, investment banks, broker-dealers, asset managers (traditional and alternative), insurance and energy trading companies, and the Corporate Treasury functions of leading Fortune 500 Companies. The service offerings provided by the FSO Advisory include: market, credit and operational risk management, regulatory advisory, quantitative advisory, structured finance transaction, actuarial advisory, technology enablement, risk and security, program advisory, and process & controls. Within EY’s FSO Advisory Practice, the Financial Services Risk Management (FSRM) group provides solutions that can help FSO clients to identify, measure, manage and monitor the market (trading book), credit (banking book), operational, and regulatory risks associated with their trading, asset-liability management, capital management and other capital markets activities. Within FSRM, the Credit Risk (CR) team assists clients to design and implement strategic and functional changes and regulatory changes across risk management within the banking book portfolio. Clients include large domestic and global financial institutions and banking organizations. Key Responsibilities Demonstrate deep technical capabilities and industry knowledge of financial products, in particular lending products Understand market trends and demands in the financial services sector and issues faced by clients by staying abreast of current business and industry trends relevant to the client's business Monitor progress, manage risk, and effectively communicate with key stakeholders regarding status, issues and key priorities to achieve expected outcomes Play an active role in mentoring junior consultants within the organization Required to review, analyse and concur with tasks completed by junior staff Flexibility to work across projects involving model audits, validation and development activities Qualifications, Certifications And Education Must-have: Postgraduate (masters in accounting, finance, economics, statistics or a related field) with at least 3 years of related work experience in financial institutions or consulting firms Complete, end-to-end understanding of credit risk model development validation and/or implementation for the banking book portfolio Knowledge of Credit Risk and Risk Analytics techniques is desirable Should have hands on experience in data preparation, including remediation, manipulation, and consolidation. Strong knowledge in regulatory modelling with model development/validation experience. Prior experience on ECB/PRA/HKMA/Regulators following IRB regulations is desirable Understanding of PD, LGD, EAD modelling with expertise in PD or LGD or EAD modelling Strong documentation skills. Required to be adept in quickly grasping key details and summarizing them in a presentation or document. Strong background in statistics and econometrics. Specially - Logistic regression, Linear regression, Fractional Response, Decision Tree Should be able to take initiative and work independently with minimal supervision, if required Strong technical skills, highly proficient SAS with preference for SAS Certified Professionals (Advanced SAS w SAS SQL, macros), Advanced Python (Pandas, Numpy, ScikitLearn, Object Oriented Programming, Parallel Processing), Excel Good-to-have: Certifications such as FRM, CFA, PRM, SCR, RAI Proficiency in Java/C++ Experience in Data/Business Intelligence (BI) Reporting Good to have knowledge in Machine Learning models and its applications. Willingness to travel to meet client needs Previous project management experience EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Advisory Services Financial Services Office – Financial Services Risk Management (FSRM) – Credit Risk – Senior Consultant Description EY's Financial Services Office (FSO) is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional capability and product knowledge. FSO practice provides integrated advisory services to financial institutions and other capital markets participants, including commercial banks, investment banks, broker-dealers, asset managers (traditional and alternative), insurance and energy trading companies, and the Corporate Treasury functions of leading Fortune 500 Companies. The service offerings provided by the FSO Advisory include: market, credit and operational risk management, regulatory advisory, quantitative advisory, structured finance transaction, actuarial advisory, technology enablement, risk and security, program advisory, and process & controls. Within EY’s FSO Advisory Practice, the Financial Services Risk Management (FSRM) group provides solutions that can help FSO clients to identify, measure, manage and monitor the market (trading book), credit (banking book), operational, and regulatory risks associated with their trading, asset-liability management, capital management and other capital markets activities. Within FSRM, the Credit Risk (CR) team assists clients to design and implement strategic and functional changes and regulatory changes across risk management within the banking book portfolio. Clients include large domestic and global financial institutions and banking organizations. Key Responsibilities Demonstrate deep technical capabilities and industry knowledge of financial products, in particular lending products Understand market trends and demands in the financial services sector and issues faced by clients by staying abreast of current business and industry trends relevant to the client's business Monitor progress, manage risk, and effectively communicate with key stakeholders regarding status, issues and key priorities to achieve expected outcomes Play an active role in mentoring junior consultants within the organization Required to review, analyse and concur with tasks completed by junior staff Flexibility to work across projects involving model audits, validation and development activities Qualifications, Certifications And Education Must-have: Postgraduate (masters in accounting, finance, economics, statistics or a related field) with at least 3 years of related work experience in financial institutions or consulting firms Complete, end-to-end understanding of credit risk model development validation and/or implementation for the banking book portfolio Knowledge of Credit Risk and Risk Analytics techniques is desirable Should have hands on experience in data preparation, including remediation, manipulation, and consolidation. Strong knowledge in regulatory modelling with model development/validation experience. Prior experience on ECB/PRA/HKMA/Regulators following IRB regulations is desirable Understanding of PD, LGD, EAD modelling with expertise in PD or LGD or EAD modelling Strong documentation skills. Required to be adept in quickly grasping key details and summarizing them in a presentation or document. Strong background in statistics and econometrics. Specially - Logistic regression, Linear regression, Fractional Response, Decision Tree Should be able to take initiative and work independently with minimal supervision, if required Strong technical skills, highly proficient SAS with preference for SAS Certified Professionals (Advanced SAS w SAS SQL, macros), Advanced Python (Pandas, Numpy, ScikitLearn, Object Oriented Programming, Parallel Processing), Excel Good-to-have: Certifications such as FRM, CFA, PRM, SCR, RAI Proficiency in Java/C++ Experience in Data/Business Intelligence (BI) Reporting Good to have knowledge in Machine Learning models and its applications. Willingness to travel to meet client needs Previous project management experience EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

We are part of Web Experiences and Services Team (WEST) within the Office Online Product Group, focused on building AI Ops solutions for Online Microsoft Word, Excel, PowerPoint, OneNote, and their shared services. Our mission is to leverage AI and ML to enhance live site management, automate incident resolution, accelerate root cause analysis and prevent incidents proactively. We are focussing on anomaly detection, predictive analytics, and error log analysis to enable more scalable and generalized solutions, driving reliability and efficiency across Office Online applications. We are looking for a Senior Applied Scientist who is passionate about applying AI and ML to incident management and site reliability. You will work as part of a multidisciplinary team, collaborating with engineers, data scientists, and domain experts to develop state-of-the-art solutions that will transform how Office Online handles site reliability and incident prevention. At Microsoft, we are committed to diversity, inclusion, and innovation, ensuring that we build great workplaces and great products. 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 Collaborate with engineers, product teams, and partners to drive innovation in AI-powered site reliability. Develop and implement AI-driven scalable solutions for incident management and prevention, incident root cause analysis across Office Online applications. Build AI\ML powered solutions like anomaly detection, predictive analytics, and error log analysis etc. for faster mitigation and prevention of incidents. Ensure end-to-end integration of ML\AI powered solutions in production, including deployment, monitoring, and refinement, leveraging cloud-based machine learning platforms (e.g., AWS SageMaker, Azure ML Service, Databricks) and MLOps tools (MLflow, Tecton, Pinecone, Feature Stores) Prototype new approaches in ML\AI, SLM, AI Agents, Agentic workflows etc. to design, run, and analyze experiments for incident detection, mitigation and resolution. Fundamentals: champion and set example in customer obsession, data security, performance, observability and reliability. Optimize AI pipelines, automate responses to incidents, and create a feedback loop for continuous improvement. Stay ahead of emerging trends in AI/ML. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ 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 5+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. Excellent coding and debugging skills with deep understanding of ML\AI algorithms and data science problems. Experience with ML techniques such as deep learning, predictive modelling, time series data analysis Excellent communication skills, including the ability to translate complex AI concepts into actionable insights for product teams Preferred Qualifications Passion for new technologies, learning and adapting quickly, end user quality and customer satisfaction. Understanding of AI-driven operations, site reliability engineering (SRE), and production ML systems. Expertise in AI Ops, anomaly detection, error log analysis and incident management solutions. Awareness and understanding of emerging research and technologies related to live site and incident management like Agentic workflows for site reliability management. Effective verbal, visual and written communication skills. 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.

Some careers have more impact than others. If you re looking for a career where you can make a real impression, join HSBC and discover how valued you ll be. HSBC is one of the largest banking and financial services organisations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Lead Assistant Vice President - Decision Sciences Principal responsibilities Model development related to Market Risk models such as (Value at Risk) VaR, Stressed VaR, IRC, NMRF, FRTB implementation or for Counterparty Credit Risk models such as SA-CVA, XVA, Simulation & Pricing models, Collateral & Margining models. Perform activities pertaining to First Line of Defense based on the Model Risk Management Framework for traded models: Model development based on best industry practice. Model calibration, monitoring, and annual assessment. Support model users such as Traded Risk Managers, Front Office, and Product Control etc. Assist the Risk steward functions in second line of defense activities. Provide model risk expertise of Traded Risk Products, working in conjunction with Product Controls, Front Office, Global Markets Operations and other support and control functions. Support the model reviews by IMR, Internal and external Audit as well as regulatory visits. Implement the findings in a timely manner. Requirements Strong quantitative background, with a degree (Masters/PhD preferred) in Statistics/ Econometrics/ Economics/Mathematical Science/Engineering/Finance 6-12 years experience in quantitative field like Market Risk or CCR model development/model validation Good understating of any or most of the common risk measures such as VaR, ES, PFE, XVA. Good understating on the pricing and valuations of the derivative products such as FX (Spot, Option, FX Swap, Non-Deliverable Forward, Forwards), Rates (Swaps, FRA, Options (Caps & Floors, Swaptions)), Cross Currency Swaps, Bonds, and other exotic derivatives. Strong programming skills (Python, C++ etc.) to develop the models or making proof of concepts. You ll achieve more at HSBC HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.

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-252840

Career Development Opportunity Zanders is looking for a motivated Credit Risk Manager who wishes to apply their expertise in finance and join our new Zanders team in Zagreb. By working on international projects with leading financial institutions (banks and insurers) in Europe, we offer a unique global experience, professional growth, and an environment that fosters innovation. Join us and become part of a dynamic team where your skills and expertise will truly make a difference. Required Skills and Experience Master or PhD degree in mathematics, physics, mathematical statistics, financial mathematics, actuarial sciences, econometrics, computer science or engineering; 3+ years of experience in the field of credit risk within financial institutions or consulting firms; Deep knowledge of Credit Risk modelling, including A-IRB, and/or IRFS 9 models; Familiarity with current market practices, machine learning, AI and regulations such as CRD, CRR, and EBA Guidelines, and emerging industry trends; Strong interest in developing, designing and performing the quantification of risk, as well as affinity with financial markets; Solid programming skills in Python, R or SQL; Strong communication skills (spoken and written) in English. Knowledge of German is an advantage; Who We Are We are a global financial consulting firm focused on Treasury, Risk and Technology. From our HQ in the Netherlands, we have been expanding our presence in Europe, UK, USA, and Asia. For 30 years we have been providing innovative solutions embracing the latest technological advancements to multinational corporations, financial institutions, public sector entities and NGOs. We go beyond conventional boundaries, delving into new market segments to uncover untapped opportunities. As pioneers in Environmental, Social, and Governance (ESG) principles and practices, we support our clients to achieve their ESG goals. At Zanders we invest in our people for an inclusive atmosphere, where freedom, fun, and collaboration are pivotal and set us apart, defining our success. We believe that diversity, equity, and inclusion (DE&I) are essential to establish a strong and sustainable business, fostering a culture that values and respects diversity in all forms. Zanders is not just a workplace – it is a supportive community. We invite those who share our passion for collaboration, growth, and positive impact to join us on this journey. If you're in search of a workplace which nurtures personal and professional development, Zanders is the perfect fit for you. Your Role As part of the Risk Advisory Group (RAG), alongside our consultants in various locations, you will focus on client projects in financial risk management, risk data and analytics. Key responsibilities include: Support clients in developing, validating risk models and/or reviewing risk frameworks for financial and/or non-financial risks; Use programming languages for quantitative analysis (e.g. applying econometric, machine learning and AI techniques), model development or model validation; Review how clients currently use financial technology, identify best practice improvements, and implement those changes; Manage the project successfully and align with client expectations; Advance the project work by completing assigned tasks, providing client support in a timely manner and presenting analytical reports to senior colleagues or clients; What We Offer Collaboration with global clients in solving complex financial challenges; A hybrid work environment, that promotes a healthy work-life balance; Allowance to set up your home office in an ergonomically responsible way and an internet allowance; A structured career path with clear progression; Opportunities for rapid professional growth as part of a new and expanding team in Croatia. An international and fun working environment, Cultural night events, annual Zanders's trip to a (surprise) location in Europe and many more exciting experiences to come! By applying for a role at Zanders, you give us approval to use and retain your personal details. Taking into account the nature of Zanders enterprise, you are expected to behave to a high moral standard. A Pre-Employment Screening (PES) by a third party is part of the application process.

Who are we looking for? Associate Customer Success drives value for clients by optimizing/managing business processes, synthesizing data at regular intervals, maintaining high-quality standards, applying automation leveraging cutting-edge technology, performing analyses, updating business rules, presenting results to the clients, and answering queries on deliverables and generating focused insights. Openings: 1 Experience: Min. 2-4 Years of work experience Requirements: Candidates having exposure to the Cybersecurity industry will be preferred not mandatory. Past experience in working with Advanced Excel and in making powerful presentations will be a plus. We welcome candidates with a range of degrees and backgrounds, though sustained success with a significant volume of analytic and quantitative coursework is required. Any bachelor's or master's degree in engineering, Operations Management/Research, MIS, Management Science, Applied Mathematics, Statistics or Econometrics will be entertained. Roles: 1. Developing and managing client portfolios. 2. Analyzing customer data to improve customer experience. 3. Hold product demonstrations for customers & improve onboarding processes. 4. Mediate between clients and the organization to achieve end goals. 5. Handling and resolving customer requests and complaints. 6. Minimize customer churn to increase customer retention. What You can expect from us: Competitive salary Technical coaching to ensure continuous professional growth Awards & recognition for your hard work Job Type: Full-time Pay: ₹30,000.00 - ₹50,000.00 per month Benefits: Provident Fund Schedule: Day shift Monday to Friday Work Location: In person Application Deadline: 06/10/2025 Expected Start Date: 14/07/2025

About us Bain & Company is a global management consulting that helps the world’s most ambitious change makers define the future. Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry. In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi. The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies. BCN is an integral and largest unit of (ECD) Expert Client Delivery. ECD plays a critical role as it adds value to Bain's case teams globally by supporting them with analytics and research solutioning across all industries, specific domains for corporate cases, client development, private equity diligence or Bain intellectual property. The BCN comprises of Consulting Services, Knowledge Services and Shared Services. Who you will work with This role is based out of the Visualization Centre of Excellence (CoE) at the BCN. Visualization CoE works closely with global Bain case teams, Bain Partners and end-clients providing them data analytics and business intelligence support using advanced data analysis and visualization tools (e.g., SQL, Python, Azure, AWS, Tableau, PowerBI, Alteryx etc.). The CoE is a one-stop shop for all case requests related to converting data into insightful visualizations tools (e.g., survey analytics, leadership KPI dashboards, etc). What you’ll do Responsible for end-to-end handling of the entire process, i.e., requirement gathering, data cleaning, processing and automation Design, build, and maintain infrastructure and systems that enable the Extraction, Transformation, and Storage of large datasets for analysis Work with Bain team or end-clients as an expert on specific platform/tool/language (Snowflake/Azure/AWS/Python/SQL etc.) in individual capacity or lead teams of analysts and associates to design and deliver impactful insights Gather requirements and business process knowledge in order to transform the data in a way that’s geared towards the needs of end users Ensure that the data architecture is scalable and maintainable Investigate data to identify potential issues within ETL pipelines, notify end-users and propose adequate solutions Apply knowledge of data analysis tools like SnowPark, Azure Data Bricks, AWS Athena, Alteryx, etc. to support case teams with analysis of KPIs Solve complex custom visualization and analysis issues, providing thought leadership and business judgment Prepare documentation for further reference The working style of the team would be to support product development; hence the pipelines and algorithm built should be scalable and automated Manage internal and external stakeholders, across instruments and workstreams to provide expertise in data management and tool expertise Work under the guidance of a Team Manager / Sr. Team Manager, playing a key role in driving the team’s overall answer and final materials, client communication, work planning, and team management May also take responsibility for assigning work streams to Analysts & Associates, monitor and balance workload; Provides tool based technical expertise to the junior team members when required Deploy Data engineering solutions using CI/CD pipelines (GitHub, Cloud servers using Snowflake/Azure/AWS) Lead client/ case team calls and effectively communicate data, knowledge, insights and actionable next steps to the case team; relay implications to his/her own internal team Keep abreast of new and current statistical, database and data warehousing tools & techniques Recognize team’s development needs and consistently provide responsible feedback in all interactions via conducting performance discussions, writing reviews for appraisal etc. Assist on other team management activities (e.g. recruiting, training, etc.) About you Candidate should be a Graduate/Post-Graduate from top-tier College with strong academic records and with 5-7 years of relevant work experience in areas related to Data Management, Business Intelligence or Business Analytics. Hands-on experience in data handling and ETL workstreams Concentration in a quantitative discipline such as Statistics, Mathematics, Engineering, Computer Science, Econometrics, Business Analytics, or Market Research is strongly preferred Minimum 5+ years of experience in Database development on Cloud based platform Snowflake Experience on ETL processing via SnowPark and Snowflake is a must Proficiency with Python and Advanced SQL queries, Stored procedures, query performance tuning, index maintenance, etc., Experience on Azure, AWS is a plus Candidates with advanced certifications in Snowflake will be preferred Experience of data modeling, data warehousing principles Experience in reading data from different data sources including on premise data servers, cloud services and several file formats Should be a motivated and collaborative team player, who is a role-model and at-cause individual within the team and office Must be willing to own and maintain high visibility and high impact product Excellent oral and written communication skills including the ability to communicate effectively with both technical and non-technical senior stakeholders Must have ability to generate and screen realistic answers based on sound reality checks and recommend actionable solutions Ability to prioritize projects, manage multiple competing priorities and drive projects to completion under tight deadline Good to Have: Experience in building Custom GPTs and AI Agents Knowledge of Environment creation and management Knowledge of CI/CD pipelines: GitHub, Docker, and containerization is a plus Experience in managing productized solutions is a plus What makes us a great place to work 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.

Senior Applied Scientist Noida, Uttar Pradesh, India Date posted Jul 03, 2025 Job number 1833716 Work site Microsoft on-site only Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Applied Sciences Employment type Full-Time Overview We are part of Web Experiences and Services Team (WEST) within the Office Online Product Group, focused on building AI Ops solutions for Online Microsoft Word, Excel, PowerPoint, OneNote, and their shared services. Our mission is to leverage AI and ML to enhance live site management, automate incident resolution, accelerate root cause analysis and prevent incidents proactively. We are focussing on anomaly detection, predictive analytics, and error log analysis to enable more scalable and generalized solutions, driving reliability and efficiency across Office Online applications. We are looking for a Senior Applied Scientist who is passionate about applying AI and ML to incident management and site reliability. You will work as part of a multidisciplinary team, collaborating with engineers, data scientists, and domain experts to develop state-of-the-art solutions that will transform how Office Online handles site reliability and incident prevention. At Microsoft, we are committed to diversity, inclusion, and innovation, ensuring that we build great workplaces and great products. 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 5+ 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 5+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. Excellent coding and debugging skills with deep understanding of ML\AI algorithms and data science problems. Experience with ML techniques such as deep learning, predictive modelling, time series data analysis Excellent communication skills, including the ability to translate complex AI concepts into actionable insights for product teams Preferred Qualifications: Passion for new technologies, learning and adapting quickly, end user quality and customer satisfaction. Understanding of AI-driven operations, site reliability engineering (SRE), and production ML systems. Expertise in AI Ops, anomaly detection, error log analysis and incident management solutions. Awareness and understanding of emerging research and technologies related to live site and incident management like Agentic workflows for site reliability management. Effective verbal, visual and written communication skills. Responsibilities Collaborate with engineers, product teams, and partners to drive innovation in AI-powered site reliability. Develop and implement AI-driven scalable solutions for incident management and prevention, incident root cause analysis across Office Online applications. Build AI\ML powered solutions like anomaly detection, predictive analytics, and error log analysis etc. for faster mitigation and prevention of incidents. Ensure end-to-end integration of ML\AI powered solutions in production, including deployment, monitoring, and refinement, leveraging cloud-based machine learning platforms (e.g., AWS SageMaker, Azure ML Service, Databricks) and MLOps tools (MLflow, Tecton, Pinecone, Feature Stores) Prototype new approaches in ML\AI, SLM, AI Agents, Agentic workflows etc. to design, run, and analyze experiments for incident detection, mitigation and resolution. Fundamentals: champion and set example in customer obsession, data security, performance, observability and reliability. Optimize AI pipelines, automate responses to incidents, and create a feedback loop for continuous improvement. Stay ahead of emerging trends in AI/ML. 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.

Designation: Economics 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 Noida, Uttar Pradesh, India Date posted Jul 03, 2025 Job number 1833716 Work site Microsoft on-site only Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Applied Sciences Employment type Full-Time Overview We are part of Web Experiences and Services Team (WEST) within the Office Online Product Group, focused on building AI Ops solutions for Online Microsoft Word, Excel, PowerPoint, OneNote, and their shared services. Our mission is to leverage AI and ML to enhance live site management, automate incident resolution, accelerate root cause analysis and prevent incidents proactively. We are focussing on anomaly detection, predictive analytics, and error log analysis to enable more scalable and generalized solutions, driving reliability and efficiency across Office Online applications. We are looking for a Senior Applied Scientist who is passionate about applying AI and ML to incident management and site reliability. You will work as part of a multidisciplinary team, collaborating with engineers, data scientists, and domain experts to develop state-of-the-art solutions that will transform how Office Online handles site reliability and incident prevention. At Microsoft, we are committed to diversity, inclusion, and innovation, ensuring that we build great workplaces and great products. 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 5+ 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 5+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. Excellent coding and debugging skills with deep understanding of ML\AI algorithms and data science problems. Experience with ML techniques such as deep learning, predictive modelling, time series data analysis Excellent communication skills, including the ability to translate complex AI concepts into actionable insights for product teams Preferred Qualifications: Passion for new technologies, learning and adapting quickly, end user quality and customer satisfaction. Understanding of AI-driven operations, site reliability engineering (SRE), and production ML systems. Expertise in AI Ops, anomaly detection, error log analysis and incident management solutions. Awareness and understanding of emerging research and technologies related to live site and incident management like Agentic workflows for site reliability management. Effective verbal, visual and written communication skills. Responsibilities Collaborate with engineers, product teams, and partners to drive innovation in AI-powered site reliability. Develop and implement AI-driven scalable solutions for incident management and prevention, incident root cause analysis across Office Online applications. Build AI\ML powered solutions like anomaly detection, predictive analytics, and error log analysis etc. for faster mitigation and prevention of incidents. Ensure end-to-end integration of ML\AI powered solutions in production, including deployment, monitoring, and refinement, leveraging cloud-based machine learning platforms (e.g., AWS SageMaker, Azure ML Service, Databricks) and MLOps tools (MLflow, Tecton, Pinecone, Feature Stores) Prototype new approaches in ML\AI, SLM, AI Agents, Agentic workflows etc. to design, run, and analyze experiments for incident detection, mitigation and resolution. Fundamentals: champion and set example in customer obsession, data security, performance, observability and reliability. Optimize AI pipelines, automate responses to incidents, and create a feedback loop for continuous improvement. Stay ahead of emerging trends in AI/ML. 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.

Senior Applied Scientist Noida, Uttar Pradesh, India Date posted Jul 03, 2025 Job number 1838234 Work site Microsoft on-site only Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Applied Sciences Employment type Full-Time Overview Are you passionate about creating innovative solutions that empower users to achieve more with Office applications? Do you have a strong background in natural language processing, generative AI, and engineering? If so, we are looking for a Senior Applied Scientist to join our team of data and applied science engineers working at the intersection of generative AI and engineering for Office. In this role, you will drive cutting-edge projects, contribute to the Copilot ecosystem, and help shape the Agentic future with one of the most widely used software products in the world. 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. Experience: 4+ years of industry experience in applied machine learning or data science roles. Technical Skills: Proficiency in Python and ML libraries (e.g., PyTorch, TensorFlow). Experience with NLP, generative models, or content understanding is highly desirable. Communication: Strong written and verbal communication skills. Ability to explain complex technical concepts to non-technical stakeholders. Problem Solving: Demonstrated ability to tackle open-ended problems and deliver practical, scalable solutions. Preferred Qualifications: Master’s degree with 6+ years of experience or Ph.D. with 3+ years of experience in a relevant field. Experience contributing to research publications, patents, or open-source projects. Hands-on experience deploying ML models in production environments. Familiarity with the full product lifecycle, from ideation to deployment and iteration. Responsibilities Applied Research & Development: Design and implement machine learning models and algorithms that improve search, summarization, and content understanding in Office applications. Stay current with advancements in NLP and generative AI to inform product innovation. Model Development & Deployment: Build and optimize ML/DL models using frameworks like PyTorch or TensorFlow. Contribute to the deployment of models in production environments, ensuring scalability and performance. Cross-Functional Collaboration: Work closely with engineering, product, and research teams to define goals, align on priorities, and deliver impactful features. Translate business needs into technical solutions. Experimentation & Evaluation: Conduct experiments to evaluate model performance, analyze results, and iterate on solutions. Use data-driven insights to improve precision, recall, and user satisfaction. Innovation & Impact: Explore new signals, data sources, and modeling techniques to enhance intelligent systems. Contribute to the evolution of the Copilot ecosystem and agentic experiences in Office. 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.