765 Econometrics Jobs

Senior Data Scientist Hyderabad, Telangana, India Date posted Jul 31, 2025 Job number 1854071 Work site Up to 100% work from home Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Data Science Employment type Full-Time Overview Azure is the fastest-growing business in Microsoft’s history and is the foundation of Microsoft’s commercial Cloud Services. We are a part of the Azure Core team that builds and manages the core platform across various services. We have an exciting opportunity for you to innovate and shape the world’s computers, and we encourage you to apply and learn more! As a Senior Data Scientist, you will lead high-impact research, build predictive models and will be responsible for collaborating to deliver the next generation of our cloud capacity management technologies, a critical investment area for Microsoft Azure. Your work will be relied upon by millions of customers globally and you will have learning opportunities and challenges around high-scale distributed systems. You’ll identify opportunities, design and scope new data projects, and apply advanced machine learning and statistical techniques to real-world challenges. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. Qualifications Required/Minimum Qualifications: 5+ years customer-facing, project-delivery experience, professional services, and/or consulting experience. Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techn OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical tec OR equivalent experience. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter. Additional or Preferred Qualifications: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, OR related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, OR related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, OR related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. #azurecorejobs Responsibilities You will acquire the data necessary for your project plan and develop usable data sets for modeling. You’ll also update internal best practices for data collection and preparation, and contribute to data integrity conversations with customers. You will evaluate your team’s models and recommend improvements as necessary, drive best practices for models, and develop operational models that run at scale. You’ll also conduct thorough reviews of data analysis and modeling techniques, and identify and invent new evaluation methods. You will research and maintain a deep knowledge of the industry, including trends and technologies, so that you can identify strategy opportunities and contribute to thought leadership best practices. You’ll also write extensible code that spans multiple features, and develop expertise in proper debugging techniques. You will define business, customer, and solution strategy goals, and partner with other teams to identify and explore new opportunities. You’ll also apply a customer-oriented focus to understand their needs, and help drive realistic customer expectations. 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.

Data Scientist II Hyderabad, Telangana, India Date posted Aug 01, 2025 Job number 1854623 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Data Science Employment type Full-Time Overview Are you a real Machine Learning enthusiast? Does the magic of the data world fascinate you? Here at Microsoft Search we have been working on Machine Learning much before it became cool to do so. Here we are solving real world problems to empower millions of people around the globe. Microsoft Search powers delightful and relevant experiences for enterprise users to cater to their overall information need. As part of this team, you would get a chance to work on the core search stack powering all Copilot Search scenarios. We are looking for candidates who can help build the next generation Machine Learning system. Candidates are expected to be hands on and experienced on data mining, ranking, clustering, recommendation systems. As a Data Scientist II in the team, you will be working on challenging problems, demonstrate quantifiable end user impact through product quality improvements and share learnings with the team. 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 Qualification: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND +2 year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical tec OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 4+ years data-science experience (e.g., managing structured and unstructured data, applying statistical tec OR equivalent experience. 1+ year(s) customer-facing, project-delivery experience, professional services, and/or consulting experience. 2+ years of experience in Data Science, Machine Learning, Software Engineering. Hands on experience of implementing and shipping production quality Machine Learning models or Data pipelines. Prior work/research experience in Search domain is preferable. Preferred Qualifications: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, OR related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, OR related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, OR related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. #M365Core Responsibilities Some of the specific search relevance areas that the team is focused on are: End to end ranking of search results Personalization of search results LLM applications to Search problems Experiment with State of the Art encoding/decoding architectures for Search Document Text/Passage extraction and understanding Compliance and Privacy aware Machine Learning training pipelines at scale 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.

We are looking for Ab Initio Data Engineer to be able to design and build Ab Initio-based applications across Data Integration, Governance & Quality domains for Compliance Risk programs. The individual will be working with both Technical Leads, Senior Solution Engineers and prospective Application Managers in order to build applications, rollout and support production environments, leveraging Ab Initio tech-stack, and ensuring the overall success of their programs. The programs have a high visibility, and are fast paced key initiatives, which generally aims towards acquiring & curating data and metadata across internal and external sources, provide analytical insights and integrate with other Citi systems. Technical Stack: Ab Initio 4.0.x software suite – Co>Op, GDE, EME, BRE, Conduct>It, Express>It, Metadata>Hub, Query>it, Control>Center, Easy>Graph Big Data – Cloudera Hadoop, Hive, Yarn Databases - Oracle 11G/12C, Teradata, MongoDB, Snowflake Others – JIRA, Service Now, Linux, SQL Developer, AutoSys, and Microsoft Office Responsibilities: Ability to design and build Ab Initio graphs (both continuous & batch) and Conduct>it Plans, and integrate with portfolio of Ab Initio softwares. Build Web-Service and RESTful graphs and create RAML or Swagger documentations. Complete understanding and analytical ability of Metadata Hub metamodel. Strong hands on Multifile system level programming, debugging and optimization skill. Hands on experience in developing complex ETL applications. Good knowledge of RDBMS – Oracle, with ability to write complex SQL needed to investigate and analyze data issues Strong in UNIX Shell/Perl Scripting. Build graphs interfacing with heterogeneous data sources – Oracle, Snowflake, Hadoop, Hive, AWS S3. Build application configurations for Express>It frameworks – Acquire>It, Spec-To-Graph, Data Quality Assessment. Build automation pipelines for Continuous Integration & Delivery (CI-CD), leveraging Testing Framework & JUnit modules, integrating with Jenkins, JIRA and/or Service Now. Build Query>It data sources for cataloguing data from different sources. Parse XML, JSON & YAML documents including hierarchical models. Build and implement data acquisition and transformation/curation requirements in a data lake or warehouse environment, and demonstrate experience in leveraging various Ab Initio components. Build Autosys or Control Center Jobs and Schedules for process orchestration Build BRE rulesets for reformat, rollup & validation use cases Build SQL scripts on database, performance tuning, relational model analysis and perform data migrations. Ability to identify performance bottlenecks in graphs, and optimize them. Ensure Ab Initio code base is appropriately engineered to maintain current functionality and development that adheres to performance optimization, interoperability standards and requirements, and compliance with client IT governance policies Build regression test cases, functional test cases and write user manuals for various projects Conduct bug fixing, code reviews, and unit, functional and integration testing Participate in the agile development process, and document and communicate issues and bugs relative to data standards Pair up with other data engineers to develop analytic applications leveraging Big Data technologies: Hadoop, NoSQL, and In-memory Data Grids Challenge and inspire team members to achieve business results in a fast paced and quickly changing environment Perform other duties and/or special projects as assigned Qualifications: Bachelor's degree in a quantitative field (such as Engineering, Computer Science, Statistics, Econometrics) and a minimum of 5 years of experience Minimum 8 years of extensive experience in design, build and deployment of Ab Initio-based applications Expertise in handling complex large-scale Data Lake and Warehouse environments Hands-on experience writing complex SQL queries, exporting and importing large amounts of data using utilities - Job Family Group: Technology - Job Family: Applications Development - Time Type: Full time - Most Relevant Skills Please see the requirements listed above. - Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. - Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Senior Applied Scientist Bangalore, Karnataka, India Date posted Aug 01, 2025 Job number 1854651 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Applied Sciences Employment type Full-Time Overview Do you want to be part of a team which delivers innovative products and machine learning solutions across Microsoft to hundreds of millions of users every month? Microsoft Turing team is an innovative engineering and applied research team working on state-of-the-art deep learning models, large language models and pioneering conversational search experiences. The team spearheads the platform and innovation for conversational search and the core copilot experiences across Microsoft’s ecosystem including BizChat, Office and Windows. As a Senior Applied Scientist in the Turing team, you will be involved in tight timeline-based hands on data science activity and work, including training models, creating evaluation sets, building infrastructure for training and evaluation, and more. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 3+ years of industrial experience coding in C++, C#, C, Java or Python. Prior experience with data analysis or understanding, looking at data from a large scale systems to identify patterns or create evaluation datasets. Familiarity with common machine learning, deep learning frameworks and concepts, using use of LLMs, prompting. Experience in pytorch or tensorflow is a bonus. Ability to communicate technical details clearly across organizational boundaries. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check : This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: Solid ability and effectiveness working end-to-end in a challenging technical problem domain (plan, design, execution, continuous release, and service operation). Some prior experience in applying deep learning techniques and drive end-to-end AI product development (Search, Recommendation, NLP, Document Understanding, etc). Prior experience with Azure or any other cloud pipelines or execution graphs. Self-driven, results oriented, high integrity, ability to work collaboratively, solve problems with groups, find win/win solutions and celebrate successes. Customer/End-result/Metrics driven in design and development. Keen ability and motivation to learn, enter new domains, and manage through ambiguity. Solid publication track records at top conferences like ACL, EMNLP, SIGKDD, AAAI, WSDM, COLING, WWW, NIPS, ICASSP, etc. #M365Core Responsibilities As an Applied Scientist on our team, you'll be responsible for and will engage in: Driving projects from design through implementation, experimentation and finally shipping to our users. This requires deep dive into data to identify gaps, come up with heuristics and possible solutions, using LLMs to create the right model or evaluation prompts, and setup the engineering pipeline or infrastructure to run them. Come up with evaluation techniques, datasets, criteria and metrics for model evaluations. These are often SOTA models or metrics / datasets. Hands on own the fine-tuning, use of language models, including dataset creation, filtering, review, and continuous iteration. This requires working in a diverse geographically distributed team environment where collaboration and innovation are valued. You will have an opportunity for direct impact on design, functionality, security, performance, scalability, manageability, and supportability of Microsoft products that use our deep learning technology. 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.

Data Scientist II Hyderabad, Telangana, India Date posted Aug 01, 2025 Job number 1854623 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Data Science Employment type Full-Time Overview Are you a real Machine Learning enthusiast? Does the magic of the data world fascinate you? Here at Microsoft Search we have been working on Machine Learning much before it became cool to do so. Here we are solving real world problems to empower millions of people around the globe. Microsoft Search powers delightful and relevant experiences for enterprise users to cater to their overall information need. As part of this team, you would get a chance to work on the core search stack powering all Copilot Search scenarios. We are looking for candidates who can help build the next generation Machine Learning system. Candidates are expected to be hands on and experienced on data mining, ranking, clustering, recommendation systems. As a Data Scientist II in the team, you will be working on challenging problems, demonstrate quantifiable end user impact through product quality improvements and share learnings with the team. 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 Qualification: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND +2 year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical tec OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 4+ years data-science experience (e.g., managing structured and unstructured data, applying statistical tec OR equivalent experience. 1+ year(s) customer-facing, project-delivery experience, professional services, and/or consulting experience. 2+ years of experience in Data Science, Machine Learning, Software Engineering. Hands on experience of implementing and shipping production quality Machine Learning models or Data pipelines. Prior work/research experience in Search domain is preferable. Preferred Qualifications: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, OR related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, OR related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, OR related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. #M365Core Responsibilities Some of the specific search relevance areas that the team is focused on are: End to end ranking of search results Personalization of search results LLM applications to Search problems Experiment with State of the Art encoding/decoding architectures for Search Document Text/Passage extraction and understanding Compliance and Privacy aware Machine Learning training pipelines at scale 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.

We are seeking a highly analytical Quantitative Research Analyst to join our AIF Quant Fund team. The ideal candidate brings strong buy-side experience in systematic investment strategies and will play a key role in developing, implementing, and maintaining sophisticated quantitative models that drive our alternative investment approach. About The Role The Quantitative Research Analyst will be responsible for various key responsibilities that include model development, data infrastructure management, strategy testing, risk management, and technology : Model Development & Research Design and build multi-factor models for equity, fixed income, and alternative asset classes. Develop alpha generation signals and systematic trading strategies across multiple time horizons. Research and implement new quantitative factors using academic literature and market insights. Enhance existing models through continuous performance monitoring and iterative improvements. Data Infrastructure & Analytics Manage large-scale financial datasets using Snowflake, SQL, and cloud-based platforms. Build automated data pipelines for real-time and historical market data processing. Ensure data quality, integrity, and optimize query performance for research workflows. Develop efficient storage solutions for multi-asset research environments. Strategy Testing & Validation Conduct comprehensive back testing across multiple market cycles using robust statistical methods. Perform out-of-sample testing, walk-forward analysis, and Monte Carlo simulations. Generate detailed performance attribution and risk decomposition analysis. Document model assumptions, limitations, and validation results. Risk Management & Monitoring Build risk management frameworks including VaR, stress testing, and scenario analysis. Monitor portfolio exposures, concentration risks, and factor loadings in real-time. Develop automated alerting systems for model degradation and performance anomalies. Support portfolio optimization and construction processes. Technology & Automation Develop Python-based research and production systems with focus on scalability. Create automated model monitoring, reporting, and alert generation frameworks. Collaborate on technology infrastructure decisions and platform evaluations. Maintain code quality and documentation standards. Qualifications Professional Experience : 48 years of buy-side quantitative research in asset management, hedge funds, or proprietary trading. Proven track record in systematic investment strategy development and implementation. Experience with institutional-grade quantitative research and portfolio management. Technical Proficiency Programming : Advanced Python (pandas, numpy, scipy, scikit-learn, quantitative libraries). Database : Hands-on Snowflake and SQL experience with large-scale data environments. Analytics : Statistical modeling, econometrics, and machine learning techniques. Platforms : Bloomberg Terminal, Refinitiv, or equivalent financial data systems. Quantitative Expertise Deep understanding of factor models, portfolio optimization, and systematic risk management. Knowledge of derivatives pricing, fixed income analytics, and alternative investment structures. Experience with market microstructure analysis and high-frequency data processing. Familiarity with performance attribution methodologies and benchmark & Analysis : Strong problem-solving abilities with exceptional attention to detail. Ability to translate quantitative insights into actionable investment recommendations. Excellent presentation skills for communicating complex research to stakeholders. Collaborative approach to working in cross-functional investment teams. Educational Background Master's degree in Finance, Economics, Mathematics, Statistics, Physics, or Engineering. CQF, CFA, FRM or equivalent professional certification preferred. Strong academic foundation with demonstrated quantitative aptitude. Regulatory Awareness Understanding of SEBI AIF regulations and compliance frameworks. Knowledge of investment management risk controls and regulatory reporting requirements. Preferred Skills Industry Recognition : Published quantitative research or contributions to investment thought leadership. Multi-Asset Expertise : Experience across equity, fixed income, commodities, and alternative investments. Innovation Mindset : Interest in machine learning, alternative data, and emerging quantitative techniques. Advanced Programming : Proficiency in additional languages such as R, C++, or Julia; experience with version control (Git) and code optimization techniques. Domain Specialization : Strong background in specific asset classes such as Indian equities & emerging markets. Entrepreneurial Drive : Self-motivated individual comfortable building scalable systems from ground-up in a growing AIF technology environment. Industry Certifications : Additional qualifications or specialized quantitative finance credentials will be a plus. Alternative Data & AI : Experience with NLP and AI techniques for extracting investment signals from alternative text data sources (such as Filings, Analyst Reports and Transcripts) and developing reasoning-based AI models for systematic decision-making will be a plus. Pay range and compensation package : Competitive with industry standards, including performance-based incentives. (ref:hirist.tech)

Azure is the fastest-growing business in Microsoft’s history and is the foundation of Microsoft’s commercial Cloud Services. We are a part of the Azure Core team that builds and manages the core platform across various services. We have an exciting opportunity for you to innovate and shape the world’s computers, and we encourage you to apply and learn more! As a Senior Data Scientist, you will lead high-impact research, build predictive models and will be responsible for collaborating to deliver the next generation of our cloud capacity management technologies, a critical investment area for Microsoft Azure. Your work will be relied upon by millions of customers globally and you will have learning opportunities and challenges around high-scale distributed systems. You’ll identify opportunities, design and scope new data projects, and apply advanced machine learning and statistical techniques to real-world challenges. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. Responsibilities You will acquire the data necessary for your project plan and develop usable data sets for modeling. You’ll also update internal best practices for data collection and preparation, and contribute to data integrity conversations with customers. You will evaluate your team’s models and recommend improvements as necessary, drive best practices for models, and develop operational models that run at scale. You’ll also conduct thorough reviews of data analysis and modeling techniques, and identify and invent new evaluation methods. You will research and maintain a deep knowledge of the industry, including trends and technologies, so that you can identify strategy opportunities and contribute to thought leadership best practices. You’ll also write extensible code that spans multiple features, and develop expertise in proper debugging techniques. You will define business, customer, and solution strategy goals, and partner with other teams to identify and explore new opportunities. You’ll also apply a customer-oriented focus to understand their needs, and help drive realistic customer expectations. Qualifications Required/Minimum Qualifications: 5+ years customer-facing, project-delivery experience, professional services, and/or consulting experience. Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techn OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical tec OR equivalent experience. Other Requirements Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter. Additional Or Preferred Qualifications Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, OR related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, OR related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, OR related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. #azurecorejobs 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.

Report discriminatory job ad to TAFEP Roles & Responsibilities Job Responsibilities Drive business growth through data analysis and modeling; iterate product strategies using A/B testing to improve user experience and retention; Collaborate closely with product, operations, and R&D teams to establish a data analysis system; Develop and refine data analysis methodologies and frameworks, extract recurring data needs of departments, and work with relevant teams to develop fixed reports and data products; Build user segmentation models and churn prediction algorithms, and enhance user engagement and loyalty through refined operations. Job Requirements Full-time bachelor’s degree or above, preferably in mathematics, statistics, econometrics, or computer science; Strong data sensitivity and ability to solve business problems through data analysis; Proficient in common data analysis tools: SQL, Tableau, Excel, and capable of using Python/R/SPSS for analysis and modeling; Understanding of A/B test principles and solid knowledge of statistics; Good teamwork, communication skills, and a strong sense of responsibility. Strong reporting and communication skills in Chinese.

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

Company Description CrystalVoxx is a healthcare econometrics company that provides integrated healthcare solutions, including medical billing and coding services. These services encompass insurance credentialing, claims processing, payment posting, AR recovery, and denial management for individual and group practices.The company serves various specialties, such as chiropractic, physical therapy, lab billing, dental, cardiology, and more, aimed at improving financial performance and maintaining a healthy revenue cycle. Role Description This is a full-time on-site role for an AR Caller - US Healthcare at our Ahmedabad location. The AR Caller will be responsible for calling insurance companies in the US to follow up on unpaid claims, rebill claims, send appeals, and reprocess claims. The AR Caller will also work on denial management, ensuring that claims are processed efficiently and payments are received in a timely manner. Qualifications Strong communication and interpersonal skills Experience in calling insurance companies in the US for claims follow-up and processing Knowledge of denial management and AR recovery practices Ability to work independently and manage multiple tasks efficiently Proficiency with medical billing software Detail-oriented with excellent organizational skills Experience in the healthcare industry Bachelor's degree preferred

Senior Data Scientist Hyderabad, Telangana, India Date posted Jul 31, 2025 Job number 1854071 Work site Up to 100% work from home Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Data Science Employment type Full-Time Overview Azure is the fastest-growing business in Microsoft’s history and is the foundation of Microsoft’s commercial Cloud Services. We are a part of the Azure Core team that builds and manages the core platform across various services. We have an exciting opportunity for you to innovate and shape the world’s computers, and we encourage you to apply and learn more! As a Senior Data Scientist, you will lead high-impact research, build predictive models and will be responsible for collaborating to deliver the next generation of our cloud capacity management technologies, a critical investment area for Microsoft Azure. Your work will be relied upon by millions of customers globally and you will have learning opportunities and challenges around high-scale distributed systems. You’ll identify opportunities, design and scope new data projects, and apply advanced machine learning and statistical techniques to real-world challenges. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. Qualifications Required/Minimum Qualifications: 5+ years customer-facing, project-delivery experience, professional services, and/or consulting experience. Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techn OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical tec OR equivalent experience. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter. Additional or Preferred Qualifications: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, OR related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, OR related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, OR related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. #azurecorejobs Responsibilities You will acquire the data necessary for your project plan and develop usable data sets for modeling. You’ll also update internal best practices for data collection and preparation, and contribute to data integrity conversations with customers. You will evaluate your team’s models and recommend improvements as necessary, drive best practices for models, and develop operational models that run at scale. You’ll also conduct thorough reviews of data analysis and modeling techniques, and identify and invent new evaluation methods. You will research and maintain a deep knowledge of the industry, including trends and technologies, so that you can identify strategy opportunities and contribute to thought leadership best practices. You’ll also write extensible code that spans multiple features, and develop expertise in proper debugging techniques. You will define business, customer, and solution strategy goals, and partner with other teams to identify and explore new opportunities. You’ll also apply a customer-oriented focus to understand their needs, and help drive realistic customer expectations. 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.

With the increase in accessibility and usage of Machine Learning models, the standards that these models must adhere to are evolving at a rapid pace. The ML Model Risk team helps the developers adhere to these ever-evolving standards and regulations and helps them take a risk-first approach to model development. As a Machine Learning Model Risk VP within our Applied AI and Machine Learning organization, you will be part of a team focused on reducing model risk. You will ensure robust model development processes, apply machine learning and data science methodologies to financial markets, and collaborate with developers to reduce model risk. You will also guide models through the review process, evaluate new ML vendor tools, and ensure compliance with evolving ML development standards. This role provides an opportunity to participate in cutting-edge research and contribute to the development of our machine learning models. You will be expected to guide and lead junior data scientists. Job responsibilities include participating in cutting-edge research and applying machine learning and data science methodologies to financial markets and related operations. Analyzing the models through a risk-based lens and collaborating with developers to reduce model risk. Providing feedback and collaborating with users and developers to ensure optimal development of ML models. Developing and maintaining a list of tests to validate various common techniques used to build Machine learning models. Guiding models through the review process and enhancing and improving them as required. Evaluating new ML vendor tools for usefulness, effectiveness, and ease of deployment in CIB. Understanding the ever-evolving ML development standards and processes and communicating with developers to ensure compliance. Required qualifications, capabilities, and skills include a Masters, PhD, or equivalent degree program in mathematics, sciences, statistics, econometrics, engineering, financial engineering, computer science, or other quantitative fields. Mastery of advanced mathematics and statistics (i.e., probability theory, time series, econometrics, optimization), with core expertise in statistics and machine learning theory, techniques, and tools. Strong written and oral communication and interpersonal skills. Strong Stakeholder & Project Management skills. Ability to ask incisive questions, converge on critical matters, assess materiality, and escalate issues. Basic understanding of the company's business practices and familiarity with the company's products and services. Preferred qualifications, capabilities, and skills include programming experience with Python; experience in MLOps would be a positive. Experience with python programming and implementing machine learning techniques. Experience in Model Risk or Machine learning teams. Experience in developing testing frameworks for ML models. Experience in handling multiple stakeholders.,

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

This is a contract role from August 2025-March 2026, fully remote in India. Required Skills & Experience -10+ years overall Data Science experience -2+ years as Lead Data Scientist communicating with stakeholders, participating in roadmap and design review, and team guidance -Proven experience in delivering successful IBP demand planning forecasting models for enterprise level organizations – i.e. end to end testing, data validations and data quality, model adoption, etc. -Expertise in Python and Pyspark -Experience with various algorithms including, but not limited to: Forecasting, Econometrics, and Curve fitting methods --> Demand Forecasting is most important -3+ years development role, ML Model implementation, experimentation & related software engineering focused -Experience working in Azure ecosystem: ADF, ADLS, Databricks, Blob, etc. -ADO board experience -Strong SQL background -Expertise in CICD -Excellent problem-solving and analytical skills; strong communication and teamwork abilities; ability to work in a fast-paced and dynamic environment -Excellent written and verbal communication -Ability to work in fast paced, global environment -Bachelor’s or Master’s degree in Computer Science, Engineering, or a relate Nice to Have Skills & Experience -Industry experience in CPG, F&B, or FMCB Job Description A Fortune 50 client is looking for a Lead Data Scientist Engineer to come join their team in support of their Integrated Business Planning program for their European sector. As the Lead Data Scientist, you will be working on this client’s large Integration Business Planning program in helping them change their data hierarchy by decreasing their 13k demand forecasting models to 7-8k in an effort to create less models but more efficient models. This role will require someone who understands IBP demand planning forecasting who can help work with the Forecasting Analyst and business stakeholders in creating the roadmap and guide the delivery of the mapping the old existing data to the new data models. You will be hands on in leading the efforts in end-to-end data testing, model adoption, help guide the team to delivery, be hands on in data validation, data quality checks, understanding the machine learning engine (model selection logic), and provide mentorship to other team members. We are looking for someone who can help with making business recommendations and create solutions for problems that arise are key to success. An ideal candidate will have a passion for solving problems, working with business stakeholders, and be comfortable working in a smaller team, within a global organization. This role allows candidates to be remote in India, however you must be available to work either 10am-7pm IST or 11am – 8pm IST.

Job Description Job Description Join a dynamic and diverse global team dedicated to developing innovative solutions that uncover the complete consumer journey for our clients. We are seeking a highly skilled Data Scientist with strong development skills in programming languages such as Python. Additionally, expertise in statistics, mathematics, econometrics, and experience with panel data to revolutionize the way we measure consumer behavior both online and in-store. Looking ahead, we are excited to find someone who will join our team in developing a tool that can simulate the impact of production process changes on client data. This tool outside of the production factory will allow the wider Data Science team to drive innovation with unpresented efficiency. About The Role Collaborative Environment: Work with an international team in a flexible and supportive setting, fostering cross-functional collaboration between data scientists, engineers, and product stakeholders Tool Ownership and Development: Take ownership of a core Python-based tool, ensuring its continued development, scalability, and maintainability. Use robust engineering practices such as version control, testing and PRs Innovative Solution Development: Collaborate closely with subject matter experts to understand complex methodologies. Translate these into scalable, production-ready implementations within the Python tool. Design and implement new features and enhancements to the tool to address evolving market challenges and improve team efficiency Methodology Enhancement: Evaluate and improve current methodologies, including data cleaning, preparation, quality tracking, and consumer projection, with a strong focus on automation and reproducibility Documentation & Code Quality: Maintain comprehensive documentation of the tool’s architecture, usage, and development roadmap. Ensure high code quality through peer reviews and adherence to best practices Research and Analysis: Conduct rigorous research and analysis to inform tool improvements and ensure alignment with business needs. Communicate findings and recommendations clearly to both technical and non-technical audiences Deployment and Support: Support the production deployment of new features and enhancements. Monitor tool performance and address issues proactively to ensure reliability and user satisfaction Cross-Team Coordination: Coordinate efforts across multiple teams and stakeholders to ensure seamless integration of the tool into broader workflows and systems Qualifications About You Ideally you possess a good understanding of consumer behavior, panel-based projections, and consumer metrics and analytics. You have successfully designed and developed software applying statistical and data analytical methods and demonstrated your ability to handle complex data sets. Experience with (un)managed crowdsourced panels and receipt capture methodologies is an advantage. Educational Background: Bachelor’s or Master’s Degree in Computer Science, Software Engineering, Mathematics, Statistics, Socioeconomics, Data Science, or a related field with a minimum of 3 years of relevant experience Programming Proficiency: Proficient with Python or another programming language, R, C++ or JAVA, with a willingness to learn Python Software Engineering Skills: Strong software engineering skills, including experience designing and developing software; optionally, experience with version control systems GitHub or Bitbucket Data Analysis Skills: Proficiency in manipulating, analyzing, and interpreting large data sets Data Handling: Experience using Spark, specifically with PySpark package, experience working with large-scale datasets. Optionally, experience in SQL and working with queries Continuous Learning: Eagerness to adopt and develop evolving technologies and tools Statistical Expertise: Statistical and logical skills, experience in data cleaning, and data aggregation techniques Communication and Collaboration: Strong communication, writing, and collaboration skills Nice to Have Consumer Insights: Knowledge of consumer behavior and (un)managed consumer-related crowdsourced panels Technology Skills: Familiarity with technology stacks for cloud computing (AzureAI, , Databricks, Snowflake) Production Support:Experience or interest in supporting technology teams in production deployment Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion

About BNP Paribas Group BNP Paribas is a top-ranking bank in Europe with an international profile. It operates in 71 countries and has almost 199 000 employees . The Group ranks highly in its three core areas of activity: Domestic Markets and International Financial Services (whose retail banking networks and financial services are grouped together under Retail Banking & Services) and Corporate & Institutional Banking, centred on corporate and institutional clients. The Group helps all of its clients (retail, associations, businesses, SMEs, large corporates and institutional) to implement their projects by providing them with services in financing, investment, savings and protection. In its Corporate & Institutional Banking and International Financial Services activities, BNP Paribas enjoys leading positions in Europe, a strong presence in the Americas and has a solid and fast-growing network in the Asia/Pacific region. About BNP Paribas India Solutions Established in 2005, BNP Paribas India Solutions is a wholly owned subsidiary of BNP Paribas SA, a leading bank in Europe with an international reach. With delivery centers located in Bengaluru, Chennai and Mumbai, we are a 24x7 global delivery center. India Solutions services three business lines: Corporate and Institutional Banking, Investment Solutions and Retail Banking for BNP Paribas across the Group. Driving innovation and growth, we are harnessing the potential of over 6000 employees, to provide support and develop best-in-class solutions. About Business Line/Function GM Data & AI Lab leverages the power of Machine Learning and Deep learning to drive innovation in various business lines. Our primary goal is to harness the potential of vast amounts of structured and unstructured data to improve our services and provide value. Today we are a team of around 40+ Data Scientists based in Paris, London, Frankfurt, Lisbon, New York, Singapore and Mumbai. Job Title Data Scientist (Quant Research) Date Department: Front Office Support Location: Mumbai Business Line / Function Global Markets – Data & AI Lab Reports To (Direct) Grade (if applicable) (Functional) Number Of Direct Reports NA Directorship / Registration NA Position Purpose Your work will center on designing and deploying AI solutions for time series forecasting, financial modeling, anomaly detection and other Quant related usecases. We use AI to discover patterns, classify information, and predict likelihoods. Our team works on building, refining, testing, and deploying these models to support various business use cases, ultimately driving business value and innovation. As a Data Scientist on our team, you can expect to work on challenging projects, collaborate with stakeholders to identify business problems, and have the opportunity to learn and grow with our team. A typical day may involve working on model development, meeting with stakeholders to discuss project requirements/updates, and brainstorming/debugging with colleagues on various technical aspects. At the Lab, we're passionate about staying at the forefront of AI research, bridging the gap between research & industry to drive innovation and to make a real impact on our businesses. Responsibilities Develop and maintain AI models on time series & financial date for predictive modelling, including data collection, analysis, feature engineering, model development, evaluation, backtesting and monitoring. Identify areas for model improvement through independent research and analysis, and develop recommendations for updates and enhancements. Working with expert colleagues, Quant and business representatives to examine the results and keep models grounded in reality. Documenting each step of the development and informing decision makers by presenting them options and results. Ensure the integrity and security of data. Provide support for production models delivered by the Mumbai team but potentially as well for other models to any of the Asian/EU/US time zones. Technical & Behavioral Competencies Bachelor’s or Master’s degree in a numeric subject with understanding of economics and markets (eg.: Economics with a speciality in Econometrics, Finance, Computer Science, Applied Maths, Engineering, Physics) Knowledge of key concepts in Statistics and Mathematics such as Statistical methods for Machine learning, Probability Theory and Linear Algebra. Knowledge of Monte Carlo Simulations, Bayesian modelling & Causal Inference. Experience with Machine Learning & Deep Learning concepts including data representations, neural network architectures, custom loss functions. Proven track record of building AI models on time-series & financial data. Programming skills in Python and knowledge of common numerical and machine-learning packages (like NumPy, scikit-learn, pandas, PyTorch, PyMC, statsmodels). Ability to write clear and concise code in python. Intellectually curious and willing to learn challenging concepts daily. Skills Referential Behavioural Skills: Ability to collaborate / Teamwork Critical thinking Communication skills - oral & written Attention to detail / rigor Transversal Skills Analytical Ability Education Level Bachelor Degree or equivalent Experience Level At least 2 years

The Research Assistant Position in Economics and Finance with Prof. Tanmoy Majilla at the Indian Institute of Management Ahmedabad entails assisting with ongoing research projects in (Development) Economics and Finance. The role will involve both empirical and theoretical analysis, requiring proficiency in basic econometrics and causal analysis methodologies like difference-in-differences and regression discontinuity designs. The responsibilities include coding and running surveys and experiments, data collection, organization, visualization, and analysis, as well as report writing. Theoretical tasks will involve organizing literature, replicating papers, and potentially solving models. This position is ideal for a student aiming to gain pre-doctoral research experience for transitioning to a top PhD program in Economics/finance or a related discipline. Candidates should be at a minimum in the final year of their Bachelor's degree in Economics/Engineering disciplines/Statistics/Operations Research/Physics/Applied Mathematics or equivalent, with preference given to those with a Master's degree or higher. Proficiency in at least one programming language among STATA, R, and Python is required, with knowledge of Matlab and LaTeX being beneficial. Prior experience/training in handling datasets, understanding econometric techniques, economic concepts, and strong English communication skills are preferred. The initial appointment for this position is six months, with the possibility of extension up to one year or beyond based on performance appraisal and academic progress. The selection process will involve testing shortlisted applicants on their ability to understand research papers, perform required analyses, and write codes through Zoom interviews. The selected candidate will receive a competitive monthly salary based on qualifications and experience, following IIM Ahmedabad's guidelines. Office space will be provided on the IIM Ahmedabad campus, with flexibility in location possible. Applicants are required to email their CV to Ms. Vinodini Raveendran at vinodini@iima.ac.in with the title RA application (TM) 2025. The CV should include a brief paragraph explaining why they are a good fit, and an analytical writing sample along with associated codes is encouraged but not mandatory. The application deadline is 10th January 2025, and the selected candidate is expected to join as soon as possible after selection.,

Domain: Investment Facilitation , Market Research , Economic Development Education: Masters in Economics / Development Economics or MBA in Finance, Economics , or related field Role Overview Seeking a motivated professional to support investment promotion and economic development initiatives through data-driven insights, stakeholder engagement, and strategy development. Key Responsibilities Use econometrics and modeling to assess policy impacts, GDP trends, and regional competitiveness Conduct sectoral research, investment climate assessments, and feasibility studies Analyze and visualize data using SPSS, Stata, R, and Excel; prepare clear presentations using PowerPoint Translate complex data into actionable policy recommendations for governments and investors Map investment opportunities across geographies and sectors, especially at the district level Engage with industry, government, and institutional stakeholders to build and support investment pipelines Develop investment strategies, policy notes, and customized pitch decks Navigate public systems to aid in investment facilitation and economic growth Must-Have Skills Strong analytical and research skills Hands-on experience with economic and statistical tools Excellent written and verbal communication Ability to work on multi-stakeholder projects and deliver high-impact outputs Skills: economics,r,economic development,statistical tools,stakeholder engagement,investment,powerpoint,research,excel,stata,econometrics,modeling,investment facilitation,spss,investment promotion,government,investment strategies,policy recommendations,high analytical skills,gdp trends,data analysis Show more Show less

Senior Business Analyst Commercial Executive 2 About Junglee Games With over 140 million users , Junglee Games is a leader in the online skill gaming space. Founded in San Francisco in 2012 and part of the Flutter Entertainment Group, we are revolutionizing how people play games. Our notable games include Howzat, Junglee Rummy, and Junglee Poker. Our team comprises over 900 talented individuals who have worked on internationally acclaimed AAA titles like Transformers and Star Wars: The Old Republic and contributed to Hollywood hits such as Avatar. Junglee s mission is to build entertainment for millions of people around the world and connect them through games. Junglee Games is not just a gaming company but a blend of innovation, data science, cutting-edge tech, and, most importantly, a values-driven culture that is creating the next set of conscious leaders. Job Overview As a Senior Business Analyst - Strategy , you will work at the intersection of corporate, customer, M&A, workforce, and operational strategy. You will work alongside Junglees leadership team to help them make decisions and implement enhancements to Junglee s organizations strategy, productivity, performance, and long-term profitability. You will have the opportunity to exercise strong analytical skills, solve complex business problems, and communicate your findings to executive audiences. You will work both independently and collaboratively with a team to analyze and distill information to hypothesize, test, and develop recommendations. Job Location Gurgaon Key Responsibilities Use primary and secondary research (i. e. consumer research, desk research, expert calls) to support the development and go-to-market for Junglee s near- and long-term strategy Synthesize data and research findings into insightful recommendations for the business, operations and leadership teams Take ownership of a wide range of data and analytical concepts and methodologies, including: Market sizing Competitive analysis Customer needs analysis / primary research Portfolio review (e. g. where to invest, where to divest) Forecasting / econometrics Serve as an internal research resource for the leadership team, handling ad-hoc requests for quick analyses and Excel models Own and report company-wide KPIs across the business functions Work cross-functionally across the organization, partnering with product, marketing, business insights and other teams on a variety of growth-focused projects Partner with the leadership and executive team to develop Junglee thought leadership Qualifications & Skills Required 1+ years of experience in an analytical and strategic role that requires synthesizing research and analysis into recommendations; candidates with experience in strategy and/or business operations at fast growing Series A/B companies are encouraged to apply Experience building business models and analyzing data in Excel/Google Sheets. (proficiency in SQL is also preferred) A strong writer and presenter who s equally at home writing a brief or creating a slide deck. You have a knack for finding creative or unusual research/data sources to solve a problem or answer a question, as you won t have many internal research databases/dashboards at your disposal You re intellectually curious and incredibly detail-oriented, with a penchant for over delivering on tight deadlines You can balance speed with thoroughness to get to high fidelity analysis quickly You thrive with the ambiguity and responsibility required in high growth startups. Be a part of Junglee Games to: Value Customers & Data - Prioritize customers, use data-driven decisions, master KPIs, and leverage ideation and A/B testing to drive impactful outcomes. Inspire Extreme Ownership - We embrace ownership, collaborate effectively, and take pride in every detail to ensure every game becomes a smashing success. Lead with Love - We reject micromanagement and fear, fostering open dialogue, mutual growth, and a fearless yet responsible work ethic. Embrace change - Change drives progress, and our strength lies in adapting swiftly and recognizing when to evolve to stay ahead. Play the Big Game - We think big, challenge norms, and innovate boldly, driving impactful results through fresh ideas and inventive problem-solving. Avail a comprehensive benefits package that includes paid gift coupons, fitness plans, gadget allowances, fuel costs, family healthcare, and much more. Know more about us Explore the world of Junglee Games through our website, www. jungleegames. com . Get a glimpse of what Life at Junglee Games looks like on LinkedIn . Here is a quick snippet of the Junglee Games Offsite 24 Liked what you saw so far Be A Junglee

With the increase in accessibility and usage of Machine Learning models, the standards that these models must adhere to are evolving at a rapid pace. The ML Model Risk team helps the developers adhere to these ever-evolving standards and regulations and helps them take a risk first approach to model development. Job summary As a Machine Learning Model Risk VP within our Applied AI and Machine Learning organization, you will be part of a team focused on reducing model risk. You will ensure robust model development processes, apply machine learning and data science methodologies to financial markets, and collaborate with developers to reduce model risk. You will also guide models through the review process, evaluate new ML vendor tools, and ensure compliance with evolving ML development standards. This role provides an opportunity to participate in cutting-edge research and contribute to the development of our machine learning models. You will expected to guide and lead junior data scientists Job responsibilities Participating in cutting edge research and applying machine learning and data science methodologies to financial markets and related operations Analyze the models through a risk-based lens and collaborate with developers to reduce model risk Provide feedback and collaborate with users and developers to ensure optimal development of ML models Develop and maintain a list of tests to validate various common techniques used to build Machine learning models Guiding models through the review process and enhancing and improving them as required Evaluate new ML vendor tools for usefulness, effectiveness and ease of deployment in CIB Understand the ever evolving ML development standards and processes and communicate with developers to ensure compliance Required qualifications, capabilities and skills Master s, PhD, or equivalent degree program in mathematics, sciences, statistics, econometrics, engineering, financial engineering, computer science, or other quantitative fields Mastered advanced mathematics and statistics (i.e., probability theory, time series, econometrics, optimization), with core expertise in statistics and machine learning theory, techniques, and tools Strong written and oral communication and interpersonal skills Strong Stakeholder & Project Management skills Ability to ask incisive questions, converge on critical matters, assess materiality and escalate issues Basic understanding of the companys business practices and familiarity with the companys products and services Preferred qualifications, capabilities and skills Programming experience with Python; experience in MLOps would be a positive Experience with python programming and implementing machine learning techniques. Experience in Model Risk or Machine learning teams Experience in developing testing frameworks for ML models Experience in handling multiple stakeholders With the increase in accessibility and usage of Machine Learning models, the standards that these models must adhere to are evolving at a rapid pace. The ML Model Risk team helps the developers adhere to these ever-evolving standards and regulations and helps them take a risk first approach to model development. Job summary As a Machine Learning Model Risk VP within our Applied AI and Machine Learning organization, you will be part of a team focused on reducing model risk. You will ensure robust model development processes, apply machine learning and data science methodologies to financial markets, and collaborate with developers to reduce model risk. You will also guide models through the review process, evaluate new ML vendor tools, and ensure compliance with evolving ML development standards. This role provides an opportunity to participate in cutting-edge research and contribute to the development of our machine learning models. You will expected to guide and lead junior data scientists Job responsibilities Participating in cutting edge research and applying machine learning and data science methodologies to financial markets and related operations Analyze the models through a risk-based lens and collaborate with developers to reduce model risk Provide feedback and collaborate with users and developers to ensure optimal development of ML models Develop and maintain a list of tests to validate various common techniques used to build Machine learning models Guiding models through the review process and enhancing and improving them as required Evaluate new ML vendor tools for usefulness, effectiveness and ease of deployment in CIB Understand the ever evolving ML development standards and processes and communicate with developers to ensure compliance Required qualifications, capabilities and skills Master s, PhD, or equivalent degree program in mathematics, sciences, statistics, econometrics, engineering, financial engineering, computer science, or other quantitative fields Mastered advanced mathematics and statistics (i.e., probability theory, time series, econometrics, optimization), with core expertise in statistics and machine learning theory, techniques, and tools Strong written and oral communication and interpersonal skills Strong Stakeholder & Project Management skills Ability to ask incisive questions, converge on critical matters, assess materiality and escalate issues Basic understanding of the companys business practices and familiarity with the companys products and services Preferred qualifications, capabilities and skills Programming experience with Python; experience in MLOps would be a positive Experience with python programming and implementing machine learning techniques. Experience in Model Risk or Machine learning teams Experience in developing testing frameworks for ML models Experience in handling multiple stakeholders

Senior Business Analyst Commercial Executive 2 About Junglee Games With over 140 million users , Junglee Games is a leader in the online skill gaming space. Founded in San Francisco in 2012 and part of the Flutter Entertainment Group, we are revolutionizing how people play games. Our notable games include Howzat, Junglee Rummy, and Junglee Poker. Our team comprises over 900 talented individuals who have worked on internationally acclaimed AAA titles like Transformers and Star Wars: The Old Republic and contributed to Hollywood hits such as Avatar. Junglee s mission is to build entertainment for millions of people around the world and connect them through games. Junglee Games is not just a gaming company but a blend of innovation, data science, cutting-edge tech, and, most importantly, a values-driven culture that is creating the next set of conscious leaders. Job Overview As a Senior Business Analyst - Strategy , you will work at the intersection of corporate, customer, M&A, workforce, and operational strategy. You will work alongside Junglees leadership team to help them make decisions and implement enhancements to Junglee s organizations strategy, productivity, performance, and long-term profitability. You will have the opportunity to exercise strong analytical skills, solve complex business problems, and communicate your findings to executive audiences. You will work both independently and collaboratively with a team to analyze and distill information to hypothesize, test, and develop recommendations. Job Location Gurgaon Key Responsibilities Use primary and secondary research (i.e. consumer research, desk research, expert calls) to support the development and go-to-market for Junglee s near- and long-term strategy Synthesize data and research findings into insightful recommendations for the business, operations and leadership teams Take ownership of a wide range of data and analytical concepts and methodologies, including: Market sizing Competitive analysis Customer needs analysis / primary research Portfolio review (e.g. where to invest, where to divest) Forecasting / econometrics Serve as an internal research resource for the leadership team, handling ad-hoc requests for quick analyses and Excel models Own and report company-wide KPIs across the business functions Work cross-functionally across the organization, partnering with product, marketing, business insights and other teams on a variety of growth-focused projects Partner with the leadership and executive team to develop Junglee thought leadership Qualifications & Skills Required 1+ years of experience in an analytical and strategic role that requires synthesizing research and analysis into recommendations; candidates with experience in strategy and/or business operations at fast growing Series A/B companies are encouraged to apply Experience building business models and analyzing data in Excel/Google Sheets. (proficiency in SQL is also preferred) A strong writer and presenter who s equally at home writing a brief or creating a slide deck. You have a knack for finding creative or unusual research/data sources to solve a problem or answer a question, as you won t have many internal research databases/dashboards at your disposal You re intellectually curious and incredibly detail-oriented, with a penchant for over delivering on tight deadlines You can balance speed with thoroughness to get to high fidelity analysis quickly You thrive with the ambiguity and responsibility required in high growth startups. Be a part of Junglee Games to: Value Customers & Data - Prioritize customers, use data-driven decisions, master KPIs, and leverage ideation and A/B testing to drive impactful outcomes. Inspire Extreme Ownership - We embrace ownership, collaborate effectively, and take pride in every detail to ensure every game becomes a smashing success. Lead with Love - We reject micromanagement and fear, fostering open dialogue, mutual growth, and a fearless yet responsible work ethic. Embrace change - Change drives progress, and our strength lies in adapting swiftly and recognizing when to evolve to stay ahead. Play the Big Game - We think big, challenge norms, and innovate boldly, driving impactful results through fresh ideas and inventive problem-solving. Avail a comprehensive benefits package that includes paid gift coupons, fitness plans, gadget allowances, fuel costs, family healthcare, and much more. Know more about us Explore the world of Junglee Games through our website, www.jungleegames.com . Get a glimpse of what Life at Junglee Games looks like on LinkedIn . Here is a quick snippet of the Junglee Games Offsite 24 Liked what you saw so far Be A Junglee

We are looking for a Data Scientist to help us gain useful insight from raw data. Data scientists' responsibilities include working with the data science team, planning projects, and building analytics models. You should have a strong problem-solving ability and a knack for statistical analysis. If you're also able to align our data products with our business goals, we'd like to meet you. Your ultimate goal will be to help improve our products and business decisions by making the most out of our data. Responsibilities Responsible for overseeing the data scientists' team and data specialists. Teach, lead, and counsel colleagues on new techniques or solutions. Collaborate with data and software engineers to enable the deployment of sciences and technologies that will scale across the company's ecosystem. Responsible for the conception, planning, and prioritizing of data projects. Responsible for building analytic systems and predictive models as well as experimenting with new models and techniques. Ensure that data projects align with organizational goals. Requirements Master's degree in Computer Science, Operations Research, Econometrics, Statistics, or related technical field. 10+ years of experience solving analytical problems using quantitative approaches. Experience communicating quantitative analysis results. Knowledge of relational databases and SQL. Development experience in any scripting language (PHP, Python, Perl, etc. ). Knowledge of statistics (e. g., hypothesis testing, regressions). Experience manipulating data sets through statistical software (ex., R, SAS) or other methods. This job was posted by Puja Sahoo from mPokket.

Job Description Background Analytics & Reporting (A&R) is a group within Risk Engineering in the Risk Division of Goldman Sachs. The group ensures the firm’s senior leadership, investors and regulators have a complete view of the positional, market, and client activity drivers of the firm’s risk profile allowing them to take actionable and timely risk management decisions. Risk Engineering is a multidisciplinary group of quantitative experts who are the authoritative producers of independent risk & capital metrics for the firm. Risk Engineering is responsible for modeling, producing, reviewing, interpreting, explaining and communicating risk & capital metrics and analytics used to ensure the firm adheres to its Risk Appetite and maintains the appropriate amount of Risk Capital. Risk Engineering provides risk & capital metrics, analytics and insights to the Chief Risk Officer, senior management, regulators, and other firm stakeholders. Role Responsibilities A&R delivers critical regulatory and risk metrics & analytics across risk domains (market, credit, liquidity, operational, capital) and firm activities via regular reporting, customized risk analysis, systematically generated risk reporting and risk tools. A&R has a unique vantage point in the firm’s risk data flows that, when coupled with a deep understanding of client and market activities, allows it to build scalable workflows, processes and procedures to deliver actionable risk insights. The following are core responsibilities for A&R: Delivering regular and reliable risk metrics, analytics & insights based on deep understanding of the firm’s businesses and its client activities. Building robust, systematic & efficient workflows, processes and procedures around the production of risk analytics for financial & non-financial risk, risk capital and regulatory reporting. Attesting to the quality, timeliness and completeness of the underlying data used to produce these analytics. Qualifications, Skills & Aptitude Eligible candidates are preferred to have the following: Masters or Bachelors degree in a quantitative discipline such as data science, mathematics, physics, econometrics, computer science or engineering. Entrepreneurial, analytically creative, self-motivated and team-oriented. Excellent written, verbal and team-oriented communication skills. Experience with programming for extract transform load (ETL) operations and data analysis (including performance optimization) using languages such as, but not limited to, Python, Java, C++, SQL and R. Experience in developing data visualization and business intelligence solutions using tools such as, but not limited to, Tableau, Alteryx, PowerBI, and front-end technologies and languages. Working knowledge of the financial industry, markets and products and associated non-financial risk. Working knowledge of mathematics including statistics, time series analysis and numerical algorithms. 3+ years of financial or non-financial risk industry experience.

We are seeking a highly analytical Quantitative Research Analyst to join our AIF Quant Fund team. The ideal candidate brings strong buy-side experience in systematic investment strategies and will play a key role in developing, implementing, and maintaining sophisticated quantitative models that drive our alternative investment approach. About the Role: The Quantitative Research Analyst will be responsible for various key responsibilities that include model development, data infrastructure management, strategy testing, risk management, and technology automation. Responsibilities: Model Development & Research: Design and build multi-factor models for equity, fixed income, and alternative asset classes Develop alpha generation signals and systematic trading strategies across multiple time horizons Research and implement new quantitative factors using academic literature and market insights Enhance existing models through continuous performance monitoring and iterative improvements Data Infrastructure & Analytics: Manage large-scale financial datasets using Snowflake, SQL, and cloud-based platforms Build automated data pipelines for real-time and historical market data processing Ensure data quality, integrity, and optimize query performance for research workflows Develop efficient storage solutions for multi-asset research environments Strategy Testing & Validation: Conduct comprehensive backtesting across multiple market cycles using robust statistical methods Perform out-of-sample testing, walk-forward analysis, and Monte Carlo simulations Generate detailed performance attribution and risk decomposition analysis Document model assumptions, limitations, and validation results Risk Management & Monitoring: Build risk management frameworks including VaR, stress testing, and scenario analysis Monitor portfolio exposures, concentration risks, and factor loadings in real-time Develop automated alerting systems for model degradation and performance anomalies Support portfolio optimization and construction processes Technology & Automation: Develop Python-based research and production systems with focus on scalability Create automated model monitoring, reporting, and alert generation frameworks Collaborate on technology infrastructure decisions and platform evaluations Maintain code quality and documentation standards Qualifications: Professional Experience: 4–8 years of buy-side quantitative research in asset management, hedge funds, or proprietary trading Proven track record in systematic investment strategy development and implementation Experience with institutional-grade quantitative research and portfolio management Technical Proficiency: Programming: Advanced Python (pandas, numpy, scipy, scikit-learn, quantitative libraries) Database: Hands-on Snowflake and SQL experience with large-scale data environments Analytics: Statistical modeling, econometrics, and machine learning techniques Platforms: Bloomberg Terminal, Refinitiv, or equivalent financial data systems Quantitative Expertise: Deep understanding of factor models, portfolio optimization, and systematic risk management Knowledge of derivatives pricing, fixed income analytics, and alternative investment structures Experience with market microstructure analysis and high-frequency data processing Familiarity with performance attribution methodologies and benchmark construction Communication & Analysis: Strong problem-solving abilities with exceptional attention to detail Ability to translate quantitative insights into actionable investment recommendations Excellent presentation skills for communicating complex research to stakeholders Collaborative approach to working in cross-functional investment teams. Educational Background: Master's degree in Finance, Economics, Mathematics, Statistics, Physics, or Engineering CQF, CFA, FRM or equivalent professional certification preferred Strong academic foundation with demonstrated quantitative aptitude Regulatory Awareness: Understanding of SEBI AIF regulations and compliance frameworks Knowledge of investment management risk controls and regulatory reporting requirements Preferred Skills: Industry Recognition: Published quantitative research or contributions to investment thought leadership Multi-Asset Expertise: Experience across equity, fixed income, commodities, and alternative investments Innovation Mindset: Interest in machine learning, alternative data, and emerging quantitative techniques Advanced Programming: Proficiency in additional languages such as R, C++, or Julia; experience with version control (Git) and code optimization techniques Domain Specialization: Strong background in specific asset classes such as Indian equities & emerging markets Entrepreneurial Drive: Self-motivated individual comfortable building scalable systems from ground-up in a growing AIF technology environment Industry Certifications: Additional qualifications or specialized quantitative finance credentials will be a plus Alternative Data & AI: Experience with NLP and AI techniques for extracting investment signals from alternative text data sources (such as Filings, Analyst Reports and Transcripts) and developing reasoning-based AI models for systematic decision-making will be a plus Pay range and compensation package: Competitive with industry standards, including performance-based incentives.

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