363 Econometrics Jobs - Page 12

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 – Manager 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 6 – 9 years of related work experience Complete, end-to-end understanding of credit risk model development, validation, audit 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, manipulation and consolidation. Strong background in regulatory requirements such as IFRS 9, CCAR, CECL within model development/validation/audit domain Expertise in Stress Testing/DFAST PD/LGD/EAD models Strong documentation skills. Required to be adept in quickly grasping key details and summarizing them in a presentation or document. Should be able to take initiative and work independently with minimal supervision, if required Strong background in statistics and econometrics. Specially- Logistic regression, Linear regression. Strong technical skills, highly proficient in Advanced Python (Pandas, Numpy, ScikitLearn, Object Oriented Programming, Parallel Processing), SAS (SAS Certified Preferred), SQL, R, excel Good-to-have: Certifications such as FRM, CFA, PRM, SCR 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. Show more Show less

Roles & Responsibilities Eligibility Minimum Qualifications Bachelor’s degree in computer science or a related field OR master’s degree in statistics, economics, business economics, econometrics, or operations research. 6-8 years of experience in the Analytics/Data Science domain. Proficiency in programming languages such as Python. Experience with Generative AI techniques and tools. Familiarity with ETL methods, data imputation, data cleaning, and outlier handling. Familiarity with cloud platforms (AWS, Azure, GCP) and AI/ML services. Knowledge of databases and associated tools such as SQL. Technical Skills – Desirable Expertise in NLP and Generative AI concepts/methods/techniques like — Prompt design/engineering — Retrieval Augmented Generation (RAG), Corrective RAG and Knowledge Graph-based RAG using GPT-4o — Fine-tuning through LORA/QLORA — Multi-agentic frameworks for RAG — Reranker etc. for enhancing the plain-vanilla RAG — Evaluation frameworks like G-Eval etc. Strong understanding of Deep Learning methods and Machine Learning techniques including Ensemble methods, Support Vector Machines, and Natural Language Processing (NLP). Exposure to Big Data technologies like Hadoop, Hive, Spark. Experience with advanced reporting tools such as Tableau, Qlikview, or PowerBI. Specific Responsibilities Requirement Gathering: Translate business requirements into actionable analytical plans in collaboration with the team. Ensure alignment of analytical plans with the customer’s strategic objectives. Data Handling: Identify and leverage appropriate data sources to address business problems. Explore, diagnose, and resolve data discrepancies including ETL tasks, missing values, and outliers. Development and Execution: — Individually deliver projects, proof-of-concept (POC) initiatives from inception to completion. — Contribute to the development and refinement of technical and analytics architecture, ensuring it aligns with project and organizational goals. — Implement scalable and robust analytical frameworks and data pipelines to support advanced analytics and machine learning applications. — Coordinating with cross-functional teams to achieve project goals. — Delivery of production-ready models and solutions, meeting quality and performance standards. — Monitor success metrics to ensure high-quality output and make necessary adjustments. — Create and maintain documentation/reports. Innovation and Best Practices: Stay informed about new trends in Generative AI and integrate relevant advancements into our solutions. Implement novel applications of Generative AI algorithms and techniques in Python. Sample Projects GenAI-powered self-serve analytics solution for a global technology giant, that leverages the power of multi-agent framework and Azure OpenAI services to provide actionable insights, recommendations, and answers to tactical questions derived from web analytics data. GenAI bot for querying on textual documents (e.g., retail audit orientation, FAQ documents, research brief document etc.) of multinational dairy company and, and getting personalized responses in a natural and conversational way, based on the structured context of the user (like their personal details), along with the citations, so that one can effortlessly carry out their first-hand validation themselves GenAI bot for querying on tabular dataset (like monthly KPI data) of leading global event agency to understand, process natural language queries on the data and generate appropriate responses in textual, tabular and visual formats. GenAI-powered advanced information retrieval from structured data of a global technology leading organization TimesFM modelling for advanced time series forecasting for a global retail chain Knowledge-Graph-based GenAI solution for knowledge retrieval and semantic summarization for a leading global event agency GenAI-powered shopping assistant solution for big-box warehouse club retail stores GenAI solution using multi-agentic framework for travel-hospitality use case Input Governance and Response Governance in GenAI Solutions Development and implementation of evaluation frameworks for GenAI solutions/applications Training Foundational Models on new data using open-source LLM or SLM Experience 6-8 Years Skills Primary Skill: Data Science Sub Skill(s): Data Science Additional Skill(s): Data Science, Python (Data Science), GenAI Fundamentals About The Company Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP). Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru. Show more Show less

Line of Service Internal Firm Services Industry/Sector Not Applicable Specialism Operations Management Level Senior Associate Job Description & Summary At PwC, our people in brand management, marketing and sales focus on collaboration to develop and execute strategic sales and marketing initiatives. These individuals focus on driving revenue growth, promoting the Firm's services, enhancing brand visibility, and capturing new business opportunities. They utilise market research, digital marketing, creative campaigns, and effective sales strategies to engage clients, enhance the firm's brand and market presence, and achieve organisational targets. Those in market intelligence at PwC will focus on gathering and analysing data to provide insights on market trends and competitor activities, as well as helping clients make informed business decisions. Your work will involve strong research and analytical skills to deliver valuable market intelligence. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: We are seeking a highly motivated and detail-oriented Senior Associate to join our team. We are seeking an experienced Econometrician and Statistical Analyst to join our team. This role requires a strong background in econometrics, statistics, coding, and expertise in Generative AI-based analysis. The ideal candidate will be responsible for analyzing complex data sets, developing models, and providing insights to support strategic decision-making processes. Responsibilities: Develop and implement advanced econometric models and statistical techniques to analyze data and forecast trends. Conduct detailed analysis and interpretation of data using statistical software and coding languages. Utilize Generative AI tools and techniques to uncover insights and drive business strategy. Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions. Prepare reports, visualizations, and presentations to communicate findings and recommendations effectively. Stay updated with the latest advancements in econometrics, statistics, AI, and machine learning to continually enhance analytical capabilities. Mandatory skill sets: Proven experience as an econometrician or statistical analyst in a professional setting. Proficiency in coding languages such as Python, R, or similar. Extensive experience with statistical software such as SPSS, SAS, or similar. Strong expertise in Generative AI and machine learning techniques. Excellent analytical, problem-solving, and critical-thinking skills. Strong communication skills with the ability to explain complex concepts to non-technical stakeholders. Preferred skill sets: Experience with data visualization tools like Power BI or Tableau. Familiarity with financial modeling and market risk evaluation. Background in strategic planning and decision-making processes. Years of experience required: 5+ Years Education qualification: A master's degree or in Statistics, Data Science, or a related field. Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master Degree Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Python (Programming Language) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Brand Management, Business Analysis, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Dashboards, Communication, Competitor Intelligence, Creativity, Data Modeling, Embracing Change, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Intelligence Analysis, Learning Agility, Local Market Trends, Marketing Analysis, Marketing Strategy, Market Insight, Market Intelligence (MI) {+ 9 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date Show more Show less

Relocation Assistance Offered Within Country Job Number #166101 - Mumbai, Maharashtra, India Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. About Colgate-Palmolive Do you want to come to work with a smile and leave with one as well? In between those smiles, your day consists of working in a global organization, continually learning and collaborating, having stimulating discussions, and making impactful contributions! If this is how you see your career, Colgate is the place to be! Our dependable household brands, dedicated employees, and sustainability commitments make us a company passionate about building a future to smile about for our employees, consumers, and surrounding communities. The pride in our brand fuels a workplace that encourages creative thinking, champions experimentation, and promotes authenticity which has contributed to our enduring success. If you want to work for a company that lives by their values, then give your career a reason to smile...every single day. The Experience The Global Data Science & Advanced Analytics team in Colgate Palmolive is focused on working on commercial business cases which have a revenue impact for the business with recommended actions and scope for scalability across markets. The role requires working with cross functional teams and leaders across Information Technology (UI/UX Front End, Back end, ML Ops), data architecture, data engineering, division analytics leads and business teams, The Global Data Science & Advanced Analytics team is structured with Analytics Leads, Data Science Leads, Data Scientists and Analytics Engineers to solve business questions, provide actionable insights and drive growth for the organization. The role will lead a team of Data Scientists to develop scalable enterprise solutions from scratch in the areas of Marketing and Media Effectiveness, Marketing Mix Models, Revenue Growth Management, Category Forecasting. The role requires an understanding of Internal & external data sources (Syndicated Market Data, Point of Sales, Nielsen, SAP, Retailer ePOS etc.) and the ability to work with large datasets to derive insights and recommendations. The candidate should have proven ability to write scalable codes in SQL, Python, R to build and deploy statistical models, machine learning models in production using Airflow, conceptualize algorithms to guide the team to achieve the business objectives and goals. Knowledge of working on cloud environments (Google Cloud, Snowflake) is crucial. The candidate should be an analytical problem solver and be proactive and responsive to Business needs Communication is a prime requisite along with storytelling to present complex model insights in simple business language to the stakeholders. Who Are You You are a Data Science Expert and Leader working on solving Business Questions and leading a high performing Data Science and Advanced Analytics team An expert coder to write codes in SQL, Python to build scalable enterprise level data science solutions in Marketing Mix Modelling and Revenue Growth Management and to address business problems requiring descriptive, diagnostic, predictive, and / or prescriptive analytics Ability to write codes to build Regression Models, Machine Learning Models [ Ridge, Lasso, Logistic Regression, Bayesian Regression, Random Forests, XGBOOST, Optimization, Simulation ] at scale and then deploy models in production on cloud platforms using Airflow Leading, Mentoring, Coaching data scientists on key technical and domain topics through solution and code reviews to meet business objectives End to end accountability of quality of recommendations, insights and data science solutions developed and deployed in the organization globally You can prioritize multiple work assignments multi-task conflicting priorities and meet deadlines Excellent written and verbal communication. Good facilitation and project management skills You connect the dots - Understands business needs, business questions and identifies the right analytics capabilities to solve them Presentation and Storytelling of model results, insights, recommendation and actions to Marketing and Customer Development (Sales) team and to Division/Global Analytics Leads Communicate complex quantitative insights in a precise, and actionable manner to business stakeholders You are a collaborator - Work with cross functional teams in GIT, Data Architecture, Analytics Engineering to drive the delivery and project management of large scale enterprise wide data science solutions Work collaboratively with the Division Analytics/Global Analytics team and business partners across geographies located in different time zones. You are an innovator - Drive new value from insights by connecting external and internal data sources Bring in enhancements to the existing data science solutions / capabilities by exploring new solutions and techniques Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, exploring new data sources, re-designing infrastructure for greater scalability, etc. Qualifications What you’ll need Bachelor degree required [ Master's or MBA preferred ] in data science, computer science engineering, Information Technology, other engineering streams, a related quantitative and technical (Statistics, Business Analytics, Econometrics) 8+ years of data science and analytics experience in developing and deploying machine learning algorithms in a production environment Experience in setting up or managing a data science team is a must [ 2+ years ] Expert knowledge in all the following domains Marketing Mix Modeling, Revenue Growth Management, Optimization Techniques, Forecasting, Recommendation Engines, Marketing Analytics in CPG or Consulting Companies Extraordinary coding skills in SQL, Python, PySpark, R to implement statistical and machine learning algorithms like Linear Regression, Ridge, Lasso, PyMc, Bayesian Methods, GLMNET, Decision Trees, Random Forests, XGBOOST, SVM etc Strong knowledge of MLOPS using docker, airflow, kubernetes, databricks, dataiku on any cloud platform Proficient in Cloud Platforms - Google Cloud, Snowflake and experience dealing with high-volume, high-dimensionality data from varying sources (Cloud Platforms, Nielsen, SAP, Retailer ePOS; both structured and unstructured data) Experience in supporting and working with multi-functional teams in a dynamic environment Proficient in Reporting Insights, making and delivering presentation via Excel, Google Sheets, Google Slides, DOMO and any other Visualization Tools Proven Ability to provide structure and think strategically in complex business context and operate effectively in ambiguity Ability to independently plan and execute deliveries and be comfortable in a client / business facing role Exceptional communication & collaboration skills to understand business partner needs & deliver solutions. What You’ll Need (Preferred) Experience in building web apps using Pydash, Plotly, R Shiny, Streamlit Experience in Deep Learning, Reinforcement Learning, Image Recognition, AI algorithms, GenAI Experience with Databricks, Docker, Azure Data Factory Experience with machine learning API on cloud services: Azure, AWS, Vertex AI Our Commitment to Diversity, Equity & Inclusion Achieving our purpose starts with our people — ensuring our workforce represents the people and communities we serve —and creating an environment where our people feel they belong; where we can be our authentic selves, feel treated with respect and have the support of leadership to impact the business in a meaningful way. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation. Show more Show less

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 – Manager 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 6 – 9 years of related work experience Complete, end-to-end understanding of credit risk model development, validation, audit 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, manipulation and consolidation. Strong background in regulatory requirements such as IFRS 9, CCAR, CECL within model development/validation/audit domain Expertise in Stress Testing/DFAST PD/LGD/EAD models Strong documentation skills. Required to be adept in quickly grasping key details and summarizing them in a presentation or document. Should be able to take initiative and work independently with minimal supervision, if required Strong background in statistics and econometrics. Specially- Logistic regression, Linear regression. Strong technical skills, highly proficient in Advanced Python (Pandas, Numpy, ScikitLearn, Object Oriented Programming, Parallel Processing), SAS (SAS Certified Preferred), SQL, R, excel Good-to-have: Certifications such as FRM, CFA, PRM, SCR 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. Show more Show less

JOB DESCRIPTION Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view. We are a group of Quantitative analytics experts (Quants) with deep knowledge of financial products, complex datasets, mathematical/econometrics models as well as analytics system engineering. We design, develop and implement client’s facing analytics solution. As a Securities Services - Investment Information Services - Analytics in our Data Solutions group, you will have the opportunity to work with a dynamic team, develop and improve models for performance, investment insight, liquidity, ex-ante and ex-post risk, and more. You will also have the chance to publish industry-leading papers on new investment trends and assist with training of internal users and clients on investment analytics. Job responsibilities Developing/improving models for performance, investment insight, liquidity, ex-ante and ex-post risk, environmental social governance (ESG analytics), compliance and other post-trade models for the IIS product. There may be some custom deliverables for high-profile and complex clients Developing/improving advanced/intuitive visualization integrating multiple post-trade analytics into client-friendly interface Having familiarity with internal and regulatory guidelines on Model governance. Implementation of remediation; reviewing the process of data feeds from multiple upstream systems Create factsheets with client’s investment analytics datasets through API and also support advanced client and product managers for explanation on data and associated analytical results Publish industry leading papers on newer investment trends such as Environment, Social and Governance (ESG) and methodology to co-integrate them into investment and exposure reporting process Assist with training of internal users and clients on investment analytics Required qualifications, capabilities, and skills PhD, Master’s or B. Tech/B.E degree in a numerate subject from a top academic institution Strong capability in Mathematics, Statistics, Econometrics and Machine Learning Techniques Understanding LLM and applying the same effectively Good exposure to developing on Cloud-based platforms Highly analytical bent of mind, close attention to detail and ability to work to very high standards High level of proficiency Python programming Preferred qualifications, capabilities, and skills Excellent communication skills are required as the candidate will be required to interact extensively with the business development, product development, technology, and control teams High level of proficiency in C++, JavaScript or Python programming Role requires a detailed understanding of new age FinTech and Financial Modelling It is understood that the candidate may not have this knowledge from previous experience, but the successful candidate should be highly motivated to gain this knowledge ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view. We are a group of Quantitative analytics experts (Quants) with deep knowledge of financial products, complex datasets, mathematical/econometrics models as well as analytics system engineering. We design, develop and implement client’s facing analytics solution. As a Securities Services - Investment Information Services - Analytics in our Data Solutions group, you will have the opportunity to work with a dynamic team, develop and improve models for performance, investment insight, liquidity, ex-ante and ex-post risk, and more. You will also have the chance to publish industry-leading papers on new investment trends and assist with training of internal users and clients on investment analytics. Job responsibilities Developing/improving models for performance, investment insight, liquidity, ex-ante and ex-post risk, environmental social governance (ESG analytics), compliance and other post-trade models for the IIS product. There may be some custom deliverables for high-profile and complex clients Developing/improving advanced/intuitive visualization integrating multiple post-trade analytics into client-friendly interface Having familiarity with internal and regulatory guidelines on Model governance. Implementation of remediation; reviewing the process of data feeds from multiple upstream systems Create factsheets with client’s investment analytics datasets through API and also support advanced client and product managers for explanation on data and associated analytical results Publish industry leading papers on newer investment trends such as Environment, Social and Governance (ESG) and methodology to co-integrate them into investment and exposure reporting process Assist with training of internal users and clients on investment analytics Required qualifications, capabilities, and skills PhD, Master’s or B. Tech/B.E degree in a numerate subject from a top academic institution Strong capability in Mathematics, Statistics, Econometrics and Machine Learning Techniques Understanding LLM and applying the same effectively Good exposure to developing on Cloud-based platforms Highly analytical bent of mind, close attention to detail and ability to work to very high standards High level of proficiency Python programming Preferred qualifications, capabilities, and skills Excellent communication skills are required as the candidate will be required to interact extensively with the business development, product development, technology, and control teams High level of proficiency in C++, JavaScript or Python programming Role requires a detailed understanding of new age FinTech and Financial Modelling It is understood that the candidate may not have this knowledge from previous experience, but the successful candidate should be highly motivated to gain this knowledge

Principal Applied Scientist Hyderabad, Telangana, India Date posted May 16, 2025 Job number 1787944 Work site Microsoft on-site only Travel None Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Applied Sciences Employment type Full-Time Overview The Microsoft E+D India team is looking for high caliber and highly motivated AI Experts to reimagine productivity with AI and build transformative products for our commercial customers. Our team focuses on strategic workloads like M365 Copilot App, Outlook, Teams, Copilot Extensibility, and so on. In addition, the team obsesses about building next generation engineering infrastructure, tooling and process using AI for improving developer productivity and engineering efficiency. This provides every engineer with exceptional opportunities for rich learning, end-to-end ownership, autonomy, innovation and professional growth. Our team of Applied Scientists is chartered to tackle a wide variety of challenges, from building data ingestion to curating data for fine tuning to generating actionable insights to fine tune prompts to come up with evaluation metrics to make purpose-built SLMs to infuse AI in productivity scenarios to create AI tooling. Every member of this team is expected to collaborate with other teams across Microsoft that are building AI platforms, models and products. She is expected to lead the feature crews with a growth mindset for embracing and extending the rapidly evolving innovations and breakthroughs in this field. 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 6+ 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 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. Preferred Qualifications: Solid customer focus and passion for doing the right thing for the customer. Proven ability to establish trusted, effective relationships across diverse sets of stakeholders. Excellent communication skills and cross group collaboration. Ability to keep pace with rapid innovations in the field and to be creative to solve problems with no past techniques. Experience in developing / working with highly scalable classifiers, ranking algorithms, SLMs, LLMs, Finetuning with RLHF, etc.. #M365CORE Responsibilities Microsoft is committed to Responsible AI and digital safety for all. Every member of the team is expected to work through these frameworks to preserve our commitment to responsible AI while innovating rapidly. She needs to be self-driven, proactive, results-oriented and ready to work with minimal ongoing direction to succeed in this environment of rapid changes and building products from grounds up. 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 May 16, 2025 Job number 1820087 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 PowerPoint is more than just software - it’s the world’s go-to tool for turning ideas into compelling stories. PowerPoint transforms thoughts into visual stories, enabling millions of users to share knowledge via rich presentations. PowerPoint team is reimagining visual storytelling by harnessing the power of Large Language Models (LLMs) and Agentic AI to create smarter, more dynamic presentation experiences. We are looking for an individual who has expertise in working with Large Language models (LLMs) and has designed scalable systems using LLMs. As a Senior Applied Scientist you will need to design and build systems that allow LLMs to reason over large amounts of data as well as fine tune LLMs and Small Language Models (SLMs). By leveraging the power of generative AI, you’ll help shape the future of PowerPoint by tackling the complex challenges of content, layout and visual storytelling. Your work will enable intelligent features that simplify presentation creation while enhancing creativity. 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 6+ 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 4+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 4+ years of experience with design, implementation, debugging and testing of complex distributed services. Demonstrated experience working with Large Language Models and prompt engineering. Preferred Qualifications: Master’s Degree in Computer Science, Mathematics, Physics, Electrical Engineering, or equivalent. 5+ years using ML tools like Pytorch, TensorFlow or other frameworks and libraries for developing and deploying generative AI models Practical experience developing applications using prompt engineering, fine tuning, Open AI or Azure Open AI APIs. 3+ years experience developing and deploying live production systems, as part of a product team coding in C++, C#, C, Java or Python. 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping. Responsibilities Research and Development: Research and develop an understanding of the state-of-the-art tools, technologies, and methods being used in the research community and product groups. Design and develop fundamental technologies and drive the applied research to enable better search experiences for consumers and enterprise alike. Project Management: Drive projects from design through implementation, experimentation, and finally shipping to our users. Own development of state-of-the-art machine learning, deep learning algorithms and techniques leveraging text, images, and video for analyzing and transforming content to build world-class search and information retrieval products. Collaboration : Work in a diverse geographically distributed team environment where collaboration and innovation are valued. Collaborate with stakeholders to define project goals, success criteria, and deliverables. Innovation: Stay abreast of the latest research and trends in generative AI, natural language processing, and related fields, and explore new opportunities and challenges for Microsoft Office. Lead the team to continuously improve the recall and precision of bot detection by using new signals and algorithms. 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.

Learns to create business cases for projects with a projected return on investment or cost savings Demonstrates foundational knowledge of the business unit/organization being supported Learns identify and define the operational metrics that impact business outcomes by establishing partnerships across the organization Collaborates with various business stakeholders to understand the factors and trends relevant to organizational performance Gathers and interprets data, information, and content in a digital environment Contributes to the data collection process by following data quality practices Learns digital techniques and tools for the effective representation of the data to stakeholders Learns fact-finding techniques and diagnostic tools used to identify and break down business problems and enhance customer experiences Suggests alternative approaches/solutions based on internal and external benchmarking Anticipates roadblocks and generates creative workarounds to ensure forward momentum Identifies different tools, techniques, and ways of learning Accesses and uses available learning and development resources Describes the rationales, concepts, and need for continual learning Demonstrates a willingness to change ideas or perceptions based on new information or contrary evidence Seeks, embraces, and acts on feedback Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices; supporting and aligning efforts to meet customer and business needs; and building commitment for perspectives and rationales Provides and supports the implementation of businesssolutions by building relationships and partnerships with key stakehold ers; identifying business needs; determining and carrying out necessary processes and practices; monitoring progress and results; recognizing and capitalizing on improvement opportunities; and adapting to competing demands, organizational changes, and new responsibilities Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity by incorporating these into the development and implementation ofbusiness plans; using the Open Door Policy; and demonstrating and assis ting others with how to apply these in executing business processes and practices As a Data Science Intern for Walmart Global Tech India, you'll have the opportunity to Drive data-derived insights across the wide range of problem statements by developing advanced statistical models, machine learning algorithms, optimization techniques, and computational algorithms based on business initiatives Direct the gathering of data, assessing data validity and synthesizing data into large analytics datasets to support project goals Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insights Target and formulate various problems in terms of key business metrics and measure the impact of the built ML techniques Partner with senior team members to assess customer needs and define business questions Build and train statistical models and machine learning algorithms for replication for future projects Demonstrate incremental solution approach with agile and flexible ability to overcome practical problems Develop, deploy ML/DL models in production or help develop a platform to facilitate the same Work closely with the Engineering team to take Data Science projects to production Communicate recommendations to business partners and influencing plans based on insights Our Ideal Candidate You are an academically strong, with interest and inclination to excel in Machine Learning and Computational algorithms, with team player attitude and excellent communication skills. You enjoy problem solving and are keen to learn new algorithm and technology to discover innovative ways to solve problems. Your Qualifications Completed or about to complete Masters degree or PhD in Computer Science / Statistics / Mathematics / Econometrics / Machine Learning/Data Science Taken relevant statistical or ML courses and done relevant projects during your program Have basic familiarity in supervised and unsupervised machine learning Have experience in statistics and mathematics around probability, hypothesis testing, computation complexity, data structures Hands on experience with one or more of Python and SQL Structured communication and problem-solving abilities Additional Preferred Qualifications: Experience as programmer or data scientist Experience in PySpark, Google Cloud, Hive, Hadoop, and other Big Data or Cloud technology Experience with advance large scale Optimization algorithms Papers or talks or blogs related Data Science topics

To facilitate the process of transparent and evidence informed decision making in the field of health, Government of India has created an institutional arrangement called the Health Technology Assessment in India (HTAIn) under the Department of Health Research (DHR). HTAIn is entrusted with the responsibility to collate and where needed generate evidence related to the clinical effectiveness, cost-effectiveness, and safety of medicines, devices and health programs using the Health Technology Assessment (HTA) approach. Indian Institute of Public Health, Hyderabad has been selected as a hub of HTAIn with the mandate of carrying out HTA for government and various other relevant agencies in that region. Qualification: Essential: PhD/Masters in Economics /Development Economics/Public Health with specialization in Health Economics, Health Financing and Health Policy. Desirable: Publication in reputed peer-reviewed journals will be given weightage Experience: Essential: Working post-degree in Health Economics research projects at middle to senior researcher level for 2-3 years. For PhD in Economics the post-PhD experience can be relaxed to 1 years provided the thesis was aligned to any public health project or programme and there are publication(s) from it Academic review (scoping and systematic) Competence at biostatistics/econometrics with fluent use of statistical software (preferably R and STATA) with working knowledge of large datasets.:

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 A decision sciences job family member should be able to: - Apply relevant analytical methods / algorithms to get actionable insights from HSBCs internal (both structured and unstructured) and external data sources Partner with IT / Data Engineering teams to create deployment road-map Provide actionable solutions with clear articulation of recommendations for the business stakeholders across geographies Independently manage delivery of analytics projects by working with business partners across regions / geographies Actively contribute in innovative analytical solutioning for improved business performance. Perform activities pertaining to First Line of defense based on the Model Risk Management Framework for FRTB SA models: Model development/ validation based on best industry practice. Model calibration and monitoring Assist the Risk steward functions in second line of defense activities Participating in the model development cycle in conjunction with BAs and system owners Provide model risk expertise of Traded Risk Products of HSBC, 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 Minimum of 5 years of relevant experience in model development, model validation and model management. Good understanding of pricing, valuation, VaR, derivative products; time series market data. Strong programming skills (Python, Matlab etc.) in order to develop the models or making proof of concepts. Knowledge of numerical methods applied on these models is a definite advantage. Working experience of Traded Risk models as part of model development or model validation team. . Ability to collaborate and communicate effectively, including within onshore / offshore team set-ups. Ability to drive results in a limited time duration and handle constant work related pressure. Knowledge and exposure to cloud analytics platform such as GCP, AWS Redshift, Azure etc. would be a plus but not mandatory Enthusiasm for proactively seeking, exploring and developing use cases for new data and/or tools/wider industry trends 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.

We are looking for a highly skilled and experienced Senior Consultant to join our team in the Financial Services Office (FSO) - Financial Services Risk Management (FSRM) - Credit Risk. The ideal candidate will have 3-8 years of experience. ### Roles and Responsibility Demonstrate deep technical capabilities and industry knowledge of financial products, particularly lending products. Understand market trends and demands in the financial services sector and client issues by staying updated on current business and industry trends. Monitor progress, manage risk, and communicate status, issues, and key priorities with stakeholders to achieve expected outcomes. Actively mentor junior consultants and review/analyze tasks completed by them. Flexibility to work on projects involving model audits, validation, and development activities. Possess strong documentation skills and the ability to quickly grasp key details and summarize them in presentations or documents. ### Job Requirements Postgraduate degree in accounting, finance, economics, statistics, or a related field. At least 3 years of related work experience in credit risk management, ECL, and stress testing. Complete understanding of climate risk models for credit underwriting, ECL, and stress testing. Knowledge of climate risk-related requirements published by regional regulators like FED, EBA, BNM, APRA, MAS, and other regulators. Understanding of Credit Risk and Risk Analytics techniques is desirable. Hands-on experience in data preparation, manipulation, and consolidation. Strong background in statistics and econometrics. Ability to take initiative and work independently with minimal supervision. Strong technical skills, proficient in Advanced Python (Pandas, Scikit Learn, Object-Oriented Programming, Parallel Processing), SAS (SAS Certified Preferred), SQL, R, Excel. Certifications such as FRM, CFA, PRM, SCR are a plus. Experience in Data/Business Intelligence (BI) Reporting is beneficial. Good to have knowledge in Machine Learning models and their applications. Willingness to travel to meet client needs. Previous project management experience is advantageous.

Role: Customer Success Associate Employment Mode: 5 days, WFO Location: Gurgaon, Sector-18 Please note: 1.Do not apply if in case you don't have Voice/Call process experience in your last/current company. Your candidature will be rejected. 2. Gurgaon Location is preferred. 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. Job Type: Full-time Pay: ₹35,000.00 - ₹40,000.00 per month Benefits: Provident Fund Schedule: Day shift Supplemental Pay: Quarterly bonus Application Question(s): On a scale of 1 to 10, how would you assess your English communication skills? [1 is the lowest and 10 is the highest] We must fill this position urgently. Can you start immediately? Experience: International voice process: 1 year (Required) Domestic voice process: 1 year (Required) Location: Gurugram, Haryana (Required) Work Location: In person Application Deadline: 08/05/2025 Expected Start Date: 26/05/2025

Grade M3/M4/M5 Role Team Member - Credit Risk Analyst Department Risk Management Reporting Relationship Team Lead – Credit Risk Location Mumbai Role Requirements Credit Risk Analytics and Modelling – Analyse, model, validate and document various measures of Credit Risk for use in Expected Credit Loss and Capital computations. Hands-on experience in building, implementing, documenting, monitoring, validating, refining models and scorecards – in particular for PD, LGD, EAD and related Credit Risk metrics - using statistical methods and / or expert judgement based techniques. In depth understanding of the techniques and functional insights that drive Credit Risk models and the experience of having used modelled output in computing Expected Credit Loss (ECL) under Ind AS, Credit Risk Capital under Internal Ratings based approaches, Economic Capital and having taken these measures through the scrutiny of auditors and regulators. This is the main requirement of the role and the individual should have a good knowledge of this function. Derive insights from data and effectively communicate these insights to Risk, Credit and Business teams. Develop Risk Dashboards and analytical reports for Senior Management. Preparing and submitting reports to the regulator and / or senior management on a periodic and adhoc basis. The job-holder will be responsible for computing and reporting ECL and related metrics on an on-going basis. Ability to work with (gather, consolidate, prepare, summarise) large data sets on a routine basis with an eye for detail and flair for numbers. Data cleansing and preparation for use in model building. Ensure reliability, integrity and consistency of reported and underlying data Pre-Requisites About 4 to 8 years of experience in a Bank, NBFC, Consulting Firm, Rating Agency in the areas of working PD, LGD, ECL, EAD. Exposure to risk reporting or financial reporting would be an advantage. Degree in statistics, mathematics or econometrics (or equivalent professional qualifications) with hands-on experience in statistical model development, implementation, validation would be an advantage. Experience and expertise in using any one or more among Python / SAS / R. Intermediate level SQL skills will be useful. Strong experience in areas like delinquency or loan loss forecasting, expected credit losses capital computation under advanced approaches. Above average to advanced excel skills Experience in projects involving automation / data consolidation in the areas of risk or financial reporting would be an advantage Skills and Knowledge CA or MBA with FRM preferred Understanding analysis of various types of credits Proven management and supervisory skills Excellent interpersonal skills, verbal/written communication skills and strong project management skills Above average to advanced excel skills Experience in working with Python, SQL or SAS would be an added advantage.

Facilitate 5 key global analytics objectives (listed below) for the India market Standardized Data Model & Data Governance Standardized Reporting & Dashboards Marketing Mix Models Segmentation to Power Content & Personalization Content Auto-Tagging & Creative Effectiveness Build and exhibit deep data expertise on available datasets (internally available as well as data from external vendors) to support data enabled decision making Develop and maintain high quality, interactive dashboards to enable brand managers and leadership to track performance Work on prescriptive and predictive analytics to answer unstructured and open-ended questions from business stakeholders with varying levels of technical know-how Develop into a trusted advisor by actively participating in various phases of the project including kick-off, methodology development, execution, insight generation and presentation to various stakeholders Find and execute opportunities for driving growth within the India business by providing timely data and analytics support Required Skills and Expertise: Technical Skills Expertise in writing and debugging efficient SQL queries, Python or R (one of them), Excel and VBA Experience in designing, developing, and deploying Reports, Dashboards, and Apps in Power BI including Alteryx/KNIME experience is highly desirable Handson experiences working on advanced analytics projects will be desired Prior experience working on AI projects would be beneficial Experience with the following technologies: Cloud platforms like AWS & Azure Experience in business analytics tasks like data cleaning, preparation, and basics of good reporting Experience in pharmaceutical forecasting is good to have. Business Integration Skills 12+ years of evolving experience in business/market intelligence, performance reporting, and descriptive analytics for Marketing or other commercial leadership, with demonstrated results in understanding, structuring, and making sense of unfamiliar and messy datasets in the pharma Industry Demonstrated ability to quickly grasp business dynamics and data constraints, and propose effective analytics solutions tailored to regional needs. High learning agility with a proven track record of adapting to new challenges and environments swiftly. Ability to operate effectively in an international matrix environment Exposure to advanced analytics techniques is not mandatory but would be preferred Strong interpersonal and communication skills with the ability to work remotely across time zones Excellent prioritization and project management skills to be able to work on multiple priorities simultaneously and communicate expectations to stakeholders clearly Education Master s degree in sciences or quantitative discipline, i.e., Econometrics, Statistics, Engineering, or Computer Sciences preferred but not mandatory

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. Our team accelerates threat prevention efforts by automating detection, analysis, and response at scale and as close to discovery as possible. 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 solutions for optimizing analyses of entities, telemetry and behavioral data and advance state-of-the-art of threat detection and protection. Create actionable insights from analysis to drive develop durable detection & prevention strategies across the entire kill-chain, highlight protection gaps and drive product improvements. Independently works to create product impact. Identifies approach and applies, improves, or creates new data science models to positively impact a Microsoft product or service. Work with internal and external teams to forge new and improve existing partnerships that help mature the product and derive better insights Condense findings and communicate these verbally and in writing to researchers, developers and engineers through Data Visualizations and Infographics conveying clear, concise and powerful messages. Qualifications Qualifications - Required: 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 background and Microsoft Cloud background check upon hire/transfer and every two years thereafter. Bachelor's Degree or higher in Statistics, Econometrics, Computer Science, Computer Engineering, or related field OR equivalent industry experience Experience with data analysis involving statistical software tools, Big Data systems, Data Pipelines and Reporting (8+ years) Python / C# experience (8+ years) Experience with Azure/AWS/GCP (3+ years) Good to have: Industry experience in the cybersecurity area (5+ years) Experience with Generative AI / LLMs / NLP (1+ years) Prompt Engineering (1+ year) #MSFTSecurity #MSFTSecurity #CyberSecurity #MTP #Defender #AutoProtect 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.

Brief on the Organization: The Indian Institute of Public Health (IIPH) Hyderabad commenced its activities on July 1, 2008, with a mission to deliver public health education, pursue research and advocacy and support policy development. It lays strong emphasis on pursuing public health policy, practice, training and research, positioning its programmes according to the public health priorities of the state and the nation. The institute has brought together a highly qualified and diverse faculty of nationally and internationally trained and extremely motivated public health academics and practitioners. It aims to create an environment that supports excellence in instruction, research and practice. IIPH Hyderabad goals include training public health professionals through long- and short-term courses each year. The flagship courses of IIPH Hyderabad are the Post Graduate Diploma in Public Health Management. Short-term courses include training in research methods, statistics, disease surveillance, and change management. In addition, the institute collaborates with various academic, research, and administrative organizations to conduct workshops and conferences, and to undertake public health research and evaluation. The Indian Institute of Public Health Hyderabad (IIPH-H) as an arm of the Public Health Foundation of India (PHFI) aims to strengthen Public Health in India. The governance of IIPH Hyderabad is managed by a locally empowered society called the Institute of Public Health Sciences Hyderabad (IPHSH) Project Brief To facilitate the process of transparent and evidence informed decision making in the field of health, Government of India has created an institutional arrangement called the Health Technology Assessment in India (HTAIn) under the Department of Health Research (DHR). HTAIn is entrusted with the responsibility to collate and where needed generate evidence related to the clinical effectiveness, cost-effectiveness, and safety of medicines, devices and health programs using the Health Technology Assessment (HTA) approach. Indian Institute of Public Health, Hyderabad has been selected as a hub of HTAIn with the mandate of carrying out HTA for government and various other relevant agencies in that region. Qualification: Essential: PhD/Masters in Economics /Development Economics/Public Health with specialization in Health Economics, Health Financing and Health Policy. Desirable: Publication in reputed peer-reviewed journals will be given weightage Experience: Essential: Working post-degree in Health Economics research projects at middle to senior researcher level for 2-3 years. For PhD in Economics the post-PhD experience can be relaxed to 1 years provided the thesis was aligned to any public health project or programme and there are publication(s) from it Academic review (scoping and systematic) Competence at biostatistics/econometrics with fluent use of statistical software (preferably R and STATA) with working knowledge of large datasets.: Process to Apply: Interested and eligible candidates may send their updated CV to vacancies@iiphh.org Please mention the exact Position Code (IIPHH-HE-001-2025) in the email subject line and fill the application form: https://docs.google.com/forms/d/e/1FAIpQLSdrFEq26oT1zUHA2IjNNyIoCroCAbp4Ezf6W-pz2PLHU1ILnA/viewform?usp=header Only shortlisted candidates will be contacted for the interview. Please note that Annual Salary (CTC) will commensurate with available skills and fitment of the incumbent as per the selection process. Last Date of Receipt of Applications: 22 May 2025 Code: IIPHH-HE-001-2025 Location: IIPH Hyderabad Category: Fixed Term Salaried Duration of Position: 1 year or co-terminus with the project, as applicable Number of Positions: 1 Last Date: May 22, 2025

Principal Applied Scientist Hyderabad, Telangana, India Date posted May 13, 2025 Job number 1811311 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 Microsoft’s Path team helps customers along their journey from the initial idea to the final realization of their goals – from Idea to Plan to Done. We are responsible for collaborative work management products including Microsoft Project, Planner, To Do, Whiteboard, and Visio. We are actively working to envision and create “The Future of Work” leveraging LLMs and Agentic AI to provide utility and value to our customers. As a Principal Applied Scientist in Path you will help drive the analysis and quality of the content our agentic system produces and design and conduct experiments to maximize what customers can do with our products. You will also provide consultation and expertise to product and engineering teams on how to structure telemetry, UI, and software design to bets leverage Ai capabilities. 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 8+ 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 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. Other Requirements: Candidates must be able to meet Microsoft, customer and/or government security screening requirements that 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: Master's Degree in Statistics, Econometrics, Computer Science, Electrical OR Computer Engineering, OR related field AND 9+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical OR Computer Engineering, OR related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers). 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker. 5+ years experience conducting research as part of a research program (in academic or industry settings). 3+ years experience developing and deploying live production systems, as part of a product team. 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping. #agentic #llm Responsibilities You will master a broad area or research and understand any applicable research techniques. You’ll also serve as a team expert on changes in industry trends, products, and other advances, and apply this knowledge to influence product needs. You will review business and product requirements, incorporate research, and provide strategic direction for problem solving. You’ll also ensure scientific rigor, support the development of methods, and apply your expertise to support business impact. You will identify and inspire peers and new research talent to join Microsoft, build relationships, and advocate for research initiatives. You’ll share research findings through industry outreach, collaborate with the academic community, and help develop the recruiting pipeline. You will document work and experimentation results and share findings to promote innovation. You’ll provide guidance when capturing processes and contribute to ethics and privacy policies related to research processes and data collection. 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.

An Assistant Professor of Statistics job description typically involves teaching undergraduate and graduate courses in statistics, conducting research, mentoring students, and participating in departmental activities.

locationsBangalore - North time typeFull time posted onPosted 6 Days Ago time left to applyEnd DateMay 17, 2025 (4 days left to apply) job requisition idJR-0010858 FundRock is a Pan-European leading independent UCITS management company and AIFM (Alternative Investment Fund Manager). Our clients are established blue-chip companies and leaders in their domestic market. We invest in our people, enabling you to develop your skills and build on your experience. If you like the idea of working for an ambitious and growing company, as part of a multicultural team, we are the place for you. JobSpecification ChallengeandvalidatefinancialmodelsforthevaluationofcomplexexoticOTCderivativesandstrategies(suchasvarioustypesofswaps(dispersion,variance,correlation,CMS)oroptions/optionstrategies(dualdigital,dispersion,CMS,volatilitystraddle)privateequityandventuredebtinvestments. Regularlyvalidatecounterpartyvaluationsforsuchcomplexfinancialderivativesandvaluationrecommendationsorvaluationreportsforassetclasseslikeprivateequityorventurecapitalundertightfunddeadlines. Analyseevents(corporateorother)withregardstovaluation,suchasrestructuringsorspecialmarketdevelopments. Preparethebacktestingfortargetfundinvestmentsandanalyzedeviationsbetweentheauditedfinancialstatementandthecorrespondingcapitalaccountstatemenaspartoftheauditprocess. Prepareandpresentproposalsforvaluationdecisionstothevaluationcommitteeincludingseniormanagement. Monitorthefundscompliancewithrelevantlaws,regulationsandfunddocumentation. Buildbridgestoclientsandexternalpartieslikeauditorsorvaluationserviceprovidersandcommunicateinternallywithalllevelsofthecompanytoeffectivelyachievegoalsandmeetexpectations. Contributeefficientlytonewprojectssuchastheonboardingofnewclients. SkillsRequired Atleast5yearsofprofessionalexperienceinacomparablerole,eginanassetmanagementorabig4company,corporatefinance,dealorriskadvisory. Backgroundinapreferablyquantitativediscipline,egmaster'sinmathematics,physics,engineering,econometrics. Excellentunderstandingofmathematicalfinanceandfinancialmodellingskills. VerystrongcommandofICE/SuperDGUItosetupcomplexOTCderivatives,Refinitiv,BloombergincludingBloombergPricers. Teamspiritandcommunicationskillsincludingacriticalmindset. Flexibilityandabilitytomanagevarioustasksundertightdeadlines. Excellentunderstandingoftheregulatory,valuationandaccountingenvironmentinLuxembourgforalternativeassetmanagers(egAIFMDirectiveresp.CDR231/2013,CSSF18/698,IFRS,CSAValuation). StrongcommandofMicrosoftExcelandWord. Englishproficiency:additionallanguages,especiallyGerman,areconsideredanasset. As a vital team member and in return for your expertise, inclusive approach and commitment, we'll provide a favourable salary and the chance to join a passionate and welcoming team. Benefits As a truly global business, we tailor benefits to each location to safeguard our people and respect local cultures and ways of working. Our people are our greatest asset, and we invest in talent development. Join our global network, and you will benefit from education support, sponsorship and in-house training programs. DisclaimerUnsolicited CVs sent to Apex (Talent Acquisition Team or Hiring Managers) by recruitment agencies will not be accepted for this position. Apex operates a direct sourcing model and where agency assistance is required, the Talent Acquisition team will engage directly with our exclusive recruitment partners.

At American Express, you ll be recognized for your contributions, leadership, and impact every colleague has the opportunity to share in the company s success. Together, we ll win as a team, striving to uphold our company values and powerful backing promise to provide the world s best customer experience every day. And we ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong. Join Team Amex and lets lead the way together. How will you make an impact in this role? The Forecasting Team within Global Capacity and Contact Management (GCCM) has one main objective the accurate prediction of demand case setups, daily call/chat volumes and average handle times, which allows Capacity Staffing and Scheduling to deliver against customer, shareholder and employee goals. Our Team is responsible for providing end-to-end demand forecasts across all customer service networks in the US and around the World. We are also responsible for monitoring channels of contact trends and providing deep-dive analytics to support configuration and customer satisfaction enhancement decisions. The Analyst - Planning position on the Forecasting Team will specifically play a key role in developing Global Short Term and Long-Term forecasts for case setups, chat and call volume segments. Job Responsibilities: Develop Global Short-Term and Long-Term forecasts for case setups, chat and call volumes. Leverage complex data sources to extract meaningful insights. Conduct strategic analyses to inform business decisions and actionable recommendations. Develop and automate reports/dashboards to inform partners and senior leaders. Collaborate and effectively partner with multiple functional teams to acquire and apply knowledge of business growth initiatives, risk/financial actions and/or process optimization programs to identify risk and opportunities. Manage in a global 24x7 environment with the potential for dealing with crisis/contingency plan situations. Develop insightful content and analysis for communication with partners. Required Skills/Qualifications: Rigorous analytics/econometrics to effectively solve complex business problems Ability to build strong relationships in a cross-functional environment, interacting with and influencing partners in Capacity Planning, Finance, Scheduling and Real Time Optimization. Strong programming/analytics skills are required (SQL, PYTHON, HIVE etc.). Working experience in reporting (i.e. data visualization, PowerBI, Tableau) Strong written and verbal communication skills Experience working with large datasets; knowledge of Hive, SQL, Google Big Query Cloud or other programming language preferred. Experience working with machine learning algorithms to develop best in class predictive modeling (including neural networks) preferred. Academic background: Advanced degree in Statistics, Economics, Applied Economics, or Business Analytics. Master s degree preferred. We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities

The position may not be available immediately after you apply, but we encourage you to upload your CV if youre interested in participating. We have exciting projects coming soon with plenty of tasks, and we want to stay in touch with you. Once the role becomes available and you meet the criteria, you will be our priority candidate to join the project among the first, and we will reach out to you as soon as possible. About the Company At Mindrift , innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Economics, you ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Generate prompts that challenge AI. Define comprehensive scoring criteria to evaluate the accuracy of the AI s answers. Correct the model s responses based on your domain-specific knowledge. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you ll help shape the future of AI while ensuring technology benefits everyone. You hold a PhD (preferred) or a Masters degree in Economics. You have at least 3 years of professional experience in Behavioral Economics, Econometrics, Macroeconomics, Microeconomics, Developm

- Bachelor degree in computer science engineering, economics, statistics, mathematics, econometrics, or a similar quantitative field - Demonstrated ability to interact with business customers, gather requirements and deliver complete scalable and sustainable BI solutions - 2+ years work experience in analytics field and working with relational Databases - Self-driven, and showcases ability to deliver on fast paced projects using extremely large data sets - Fluency in SQL, and deep understanding of ETL is a must. Amazon Consumer Gift Cards is a fast-growing, multi-billion-dollar, worldwide business with a mission to provide the world’s most desired and convenient gift to customers. We are looking for an Business Intelligence Engineer with broad technical skills to build analytic and reporting capabilities to deliver on strategic analytical/reporting projects, define/produce end-to-end metrics that inform product, business, and marketing decisions and identify new growth opportunities through data-driven insights. The ideal candidate relishes working with large volumes of data, enjoys the challenge of highly complex business contexts, and, above all else, is passionate about data and analytics. The candidate is an expert with business intelligence tools and passionately partners with the business to identify strategic opportunities where data-backed insights drive value creation. An effective communicator, the candidate crisply translates analysis result into executive-facing business terms. The candidate works aptly with internal and external teams to push the projects across the finishing line. The candidate is a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail), and enjoys working in a fast-paced and global team. Key job responsibilities Core Responsibilities includes but not restricted to: - Interfacing with business customers, gathering requirements and delivering complete BI solutions to drive insights and inform product, operations, and marketing decisions. - Interfacing with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL (Redshift, Oracle) and ability to use a programming and/or scripting language to process data for modeling - Evolve organization wide Self-Service platforms - Building metrics to analyze key inputs to forecasting systems - Leading complex analytical deep dives (Segmentation, A/B testing) - Recognizing and adopting best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation Effective spoken and written communication to senior audiences, including strong data presentation and visualization skills Experience and ability to effectively gather information from multiple data sources and deliver on ambiguous projects with incomplete or dirty data Knowledge and direct experience using business intelligence reporting tools such as Tableau/QuickSight Experience working with redshift, Cradle or other AWS tools is a plus Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

As part of Dun & Bradstreet's Data & Analytics team, you will participate in all aspects of modeling engagement, including design, development, validation, calibration, documentation, approval, implementation, monitoring, and reporting. You will research complex business issues and recommend solutions, including model features, end products and any data required to support growing Dun & Bradstreet initiatives. Key Responsibilities:Utilize the latest data science techniques across both supervised and unsupervised machine learning methodologies, Natural Language Processing, and graph analysis in automating and scaling internal business processes.Establish and maintain strong relationships with key business stakeholders.Engage clients and D&B colleagues to identify business needs and develop, implement, and manage solutions.Strong communication skills and the ability to simplify and explain complex concepts for stakeholders, clients, and senior leaders.Participate in all aspects of a modeling engagement, including design, data requirements, development, validation, calibration, documentation, approval, implementation, monitoring and reporting.Develop Global Analytic Solutions inclusive but not limited to statistical models based on D&B’s established best practices, methodologies, and tools.Research complex business issues and recommend solutions, including model inputs and end products, focusing on addressing specific customer needs and use cases.Serve as a Subject Matter Expert on predictive models within the team and with business users; consult with the business, as appropriate, on predictive modeling solutions.Enjoy and share academic literature and industry best practices. Identify business relevance of new methods and work with cross functional teams to create prototypes, assist in creating business cases and go to market strategies.Validate the performance of existing quantitative risk models and recommend changes when necessary.Drive timely retrieval of risk analytics data from existing systems to create algorithms that meet business needs. Key Skills:Master’s Degree or Ph.D. in a quantitative/applied field preferred (Statistics, Econometrics, Computer Science, Operations Research, Mathematics, Engineering.7+ years’ operating successfully in data science roles, especially roles requiring cross-company collaboration and disciplined delivery of initiative.Hands-on experience applying modern machine learning technique.Ability to program in other statistical analysis languages, proficiency in programming languages (Python, R, SQL).Experience in feature engineering, automation, network analysis or Natural Language Processing.Experience working with outside clients on statistical engagements.Ability to manage multiple assignments, many of which have challenging timelines.Ability to work independently, as well as collaborate effectively in a team environment.Excellent communication and presentation skills.Proficiency in Microsoft Office Suite.Show an ownership mindset in everything you do. Be a problem solver, be curious and be inspired to take action. Be proactive, seek ways to collaborate and connect with people and teams in support of driving success.Continuous growth mindset, keep learning through social experiences and relationships with stakeholders, experts, colleagues and mentors as well as widen and broaden your competencies through structural courses and program.Where applicable, fluency in English and languages relevant to the working market.