775 Econometrics Jobs - Page 2

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.

Job Description Ford/GDIA Mission and Scope: At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation. Creating the future of smart mobility requires the highly intelligent use of data, metrics, and analytics. That’s where you can make an impact as part of our Global Data Insight & Analytics team. We are the trusted advisers that enable Ford to clearly see business conditions, customer needs, and the competitive landscape. With our support, key decision-makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision-making. The Global Data Insights and Analytics (GDI&A) department at Ford Motors Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics. About the Role: You would be part of FCSD analytics team. As a Data Scientist on the team, you will collaborate within the team and work with business partners to understand business problems and explore data from various sources in GCP-Data Factory, wrangle them to develop solutions using AI/ML algorithms to provide actionable insights that deliver key results to Ford. The potential candidate should have hands-on experience in building statistical/machine learning models adhering to the best practices of development and deployment in cloud environment. This role requires a solid problem-solving skill, business acumen, and passion for leveraging data science/AI skills to drive business results. Responsibilities Job Responsibilities Build an in-depth understanding of the business domain and data sources. Extract, Analyse data from database/data warehouse to gain insights, discover trends and patterns with clear objectives in mind. Design and implement scalable analytical solutions in Google cloud environment. Work closely with Product Owner, Product Manager, Software engineers and Data engineers to build products in agile environment. Operationalize AI/ML/LLM models by integrating with upstream and downstream business processes. Communicate results to business teams through effective presentations. Work with business partners through problem formulation, data management, solutions development, operationalization, and solutions management Identify opportunities to build analytical solutions driving business value, leveraging various data sources. Qualifications Qualifications: At least 2 years of relevant work experience in solving business problems using data science Bachelors/master’s degree in quantitative domain, Statistics, Computer science, Mathematics, Engineering with MBA from a premier institute (BE,MS,MBA, BSc/MSc -Computer science/Statistics) or any other equivalent 2+ years of experience with SQL, Python delivering analytical solutions in production environment. At least 1 year of experience working in Cloud environment (GCP or AWS or Azure) 2+ years of experience in conducting statistical data analysis (EDA, forecasting, clustering, etc.,) and machine learning techniques (Classification/Regression, NLP) Technical Skills: Proficient in BigQuery/SQL, Python Advanced SQL knowledge to handle large data, optimize queries. Working knowledge in GCP environment (Big Query, Vertex AI) to develop and deploy machine Learning models Nice to have: Exposure to Gen AI/LLM Functional Skills: Understanding and formulating business problem statements Convert Business Problem statement into data science problems. Self-motivated with excellent verbal and written skills Highly credible in organizational, time management and decision making. Excellent Problem-Solving and Interpersonal skills

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Analytical Consultant Location: Bangalore Reporting to: Senior Manager Purpose of the role Anheuser-Busch InBev (AB InBev)ʼs Markerting Analytics team is responsible for transforming the way we plan marketing efficiently to build brands for the future by informing media and sponsorship executions with data driven insights across consumer and category. Key tasks & accountabilities Conceptualize the analytical solution for the business problem by implementing problem solving approaches Build connects and lead discussions with Marketing Stakeholders in Colombia Build insights leveraging all the available data and analytics Storyboarding and presenting the insights to senior leadership Deliver end to end results reporting with Excel, Power BI Document every aspect of the project in standard way, for future purposes 3. Qualifications, Experience, Skills Level Of Educational Attainment Required B Tech in any branch, Statistics, Applied Statistics, Economics, Econometrics, Operations Research or any other quantitative analysis Previous Work Experience 3-6 years in analytics consulting role, preferably in CPG domain ETL and Exploratory data analysis Experience working with complex data Well versed with concepts of Marketing Capable of building insightful visualizations in Excel and Powerpoint Technical Skills Required Advanced Excel and PowerPoint SQL (atleast one database) And above all of this, an undying love for beer! We dream big to create future with more cheers

Role & responsibilities What you will be doing The team is currently looking for a Data Analyst to be jointly responsible for the data standardisation, modelling, and forecasting of various demographic, socio-economic, and macroeconomic data meeting client needs and deadlines. This role demands a high level of analytical skill, proactive problem-solving, and commitment to continuously improving data modelling and forecasting techniques, as well as exploring and implementing new methods to improve data comparability and quality. drivers - Analyze and manipulate datasets, carrying out calculations and numerical analysis using R. Standardize raw statistical data to ensure cross-source comparability. Extrapolate and interpolate data using both quantitative and qualitative methods to develop modelling and forecasting techniques. Monitor, review, and enhance data quality. Document all work processes to ensure team alignment and best practices. Liaise with sales and marketing departments and handle client queries. What youll need- Background in mathematics, econometrics, data science, statistics or similar fields. Proficiency in R. Basic knowledge of Python. Experience in data manipulation, statistical analysis and time series forecasting. Excellent communications skills and fluency in English (both oral & written). Strong organizational skills, creativity and attention to detail. Ability to work on own initiative. What you will get - Professional Development: Grow your career with opportunities within a consultative and professional environment Flexible Work Schedule: Achieve a healthy work-life balance with our flexible work schedule options, including remote work opportunities and flexible hours Positive Work Environment: Join a collaborative and inclusive workplace culture where your ideas are valued, diversity is celebrated, and teamwork is encouraged Community Involvement: Make a positive impact in the community through our volunteer programs, charitable initiatives, and corporate social responsibility efforts (and more.!) Our Values We act with integrity We are curious about the world We are stronger together We seek to empower We find strength in diversity Preferred candidate profile

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Specialist Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. ________________________________________ Overview The Services organization is a key differentiator for Mastercard, providing cutting-edge services that help our customers grow. Focused on thinking big and scaling fast around the globe, this agile team is responsible for end-to-end solutions for a diverse global customer base. Centered on data-driven technologies and innovation, these services include payments-focused consulting, loyalty and marketing programs, business Test & Learn experimentation, and data-driven information and risk management services. Within Services, the Consumer Acquisition & Engagement team is a product-centric organization focused on developing, commercializing and enhancing differentiated offerings that leverage data and marketing technology to accelerate clients’ marketing performance and business outcomes. We are looking for passionate and talented professionals, who share our vision for data-driven marketing products to join us and take a leading role in shaping the growth of our team. ________________________________________ Role: Analyst (2–4 Years Experience) Location: Gurgaon Experience Level: 2–4 years Department: Analytics / Marketing Science / Data Science Employment Type: Full-time ________________________________________ Job Summary We are seeking a results-oriented Marketing Analytics Specialist with 2–4 years of experience in data analytics, statistical modelling, and marketing insights. The ideal candidate is confident in owning complex analyses of A/B testing and portfolio optimization and can comfortably engage with senior stakeholders. Experience in financial services, banking, or payments is strongly preferred. Exposure to GenAI in marketing analytics will be an added advantage. ________________________________________ Key Responsibilities Lead design and execution of A/B tests, campaign analytics, and test-control methodologies. Perform deep-dive analysis on customer journeys, marketing funnels, and portfolio performance. Develop predictive models to inform segmentation, personalization, and targeting strategies. Provide thought leadership in marketing measurement and performance optimization. Translate insights into business impact through crisp storytelling and stakeholder engagement. ________________________________________ Basic Qualifications Undergraduate degree with 2-4 years of analytical experience in consulting, analytics, or data science with a strong focus on marketing analytics. Proficiency in tools such as SQL, Python, R, or SAS. Strong foundation in A/B testing, test-control analysis, and statistical modelling. Proven ability to communicate insights effectively with clarity and executive presence. Experience with data visualization platforms (e.g., Tableau, Power BI). Analytical, interpretive, and problem-solving skills, including the proven ability to analyze large amounts of data and synthesize key findings and recommendations Logical, structured thinking and affinity for statistical and numerical analysis Advanced Word, Excel, and PowerPoint skills Ability to manage multiple tasks and clients in a fast-paced, deadline-driven environment Ability to communicate effectively in English and the local office language (if applicable) Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs ________________________________________ Preferred Qualifications Background in banking, payments, or financial institutions. Experience working on digital marketing, lifecycle campaigns, or customer analytics. Exposure to or hands-on use of GenAI tools for marketing insight generation or automation. Master’s degree in Data Science, Statistics, Econometrics, Marketing, or related field is a plus. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Associate Product Specialist Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. ________________________________________ Overview The Services organization is a key differentiator for Mastercard, providing cutting-edge services that help our customers grow. Focused on thinking big and scaling fast around the globe, this agile team is responsible for end-to-end solutions for a diverse global customer base. Centered on data-driven technologies and innovation, these services include payments-focused consulting, loyalty and marketing programs, business Test & Learn experimentation, and data-driven information and risk management services. Within Services, the Consumer Acquisition & Engagement team is a product-centric organization focused on developing, commercializing and enhancing differentiated offerings that leverage data and marketing technology to accelerate clients’ marketing performance and business outcomes. We are looking for passionate and talented professionals, who share our vision for data-driven marketing products to join us and take a leading role in shaping the growth of our team. ________________________________________ Role: Associate Product Specialist (1-2 Years Experience) Location: Gurgaon Experience Level: 1-2 years Department: Analytics / Marketing Science / Data Science Employment Type: Full-time ________________________________________ Job Summary We are seeking a results-oriented Marketing Analytics Specialist with 2–4 years of experience in data analytics, statistical modelling, and marketing insights. The ideal candidate is confident in owning complex analyses of A/B testing and portfolio optimization and can comfortably engage with senior stakeholders. Experience in financial services, banking, or payments is strongly preferred. Exposure to GenAI in marketing analytics will be an added advantage. ________________________________________ Key Responsibilities Lead design and execution of A/B tests, campaign analytics, and test-control methodologies. Perform deep-dive analysis on customer journeys, marketing funnels, and portfolio performance. Develop predictive models to inform segmentation, personalization, and targeting strategies. Provide thought leadership in marketing measurement and performance optimization. Translate insights into business impact through crisp storytelling and stakeholder engagement. ________________________________________ Basic Qualifications Undergraduate degree with 1-2 years of analytical experience in consulting, analytics, or data science with a strong focus on marketing analytics. Proficiency in tools such as SQL, Python, R, or SAS. Strong foundation in A/B testing, test-control analysis, and statistical modelling. Proven ability to communicate insights effectively with clarity and executive presence. Experience with data visualization platforms (e.g., Tableau, Power BI). Analytical, interpretive, and problem-solving skills, including the proven ability to analyze large amounts of data and synthesize key findings and recommendations Logical, structured thinking and affinity for statistical and numerical analysis Advanced Word, Excel, and PowerPoint skills Ability to manage multiple tasks and clients in a fast-paced, deadline-driven environment Ability to communicate effectively in English and the local office language (if applicable) Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs ________________________________________ Preferred Qualifications Background in banking, payments, or financial institutions. Experience working on digital marketing, lifecycle campaigns, or customer analytics. Exposure to or hands-on use of GenAI tools for marketing insight generation or automation. Master’s degree in Data Science, Statistics, Econometrics, Marketing, or related field is a plus. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Senior Specialist Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. ________________________________________ Overview The Services organization is a key differentiator for Mastercard, providing cutting-edge services that help our customers grow. Focused on thinking big and scaling fast around the globe, this agile team is responsible for end-to-end solutions for a diverse global customer base. Centered on data-driven technologies and innovation, these services include payments-focused consulting, loyalty and marketing programs, business Test & Learn experimentation, and data-driven information and risk management services. Within Services, the Consumer Acquisition & Engagement team is a product-centric organization focused on developing, commercializing and enhancing differentiated offerings that leverage data and marketing technology to accelerate clients’ marketing performance and business outcomes. We are looking for passionate and talented professionals, who share our vision for data-driven marketing products to join us and take a leading role in shaping the growth of our team. ________________________________________ Role: Senior Specialist (6–8 Years Experience) Location: Gurgaon Experience Level: 6-8 years Department: Analytics / Marketing Science / Data Science Employment Type: Full-time ________________________________________ Job Summary We are seeking a results-oriented Marketing Analytics Lead with 6–8 years of experience in data analytics, statistical modelling, and marketing insights. The ideal candidate is confident in owning complex analyses of A/B testing and portfolio optimization and can comfortably engage with senior stakeholders. Experience in financial services, banking, or payments is strongly preferred. Exposure to GenAI in marketing analytics will be an added advantage. ________________________________________ Key Responsibilities Lead design and execution of A/B tests, campaign analytics, and test-control methodologies. Perform deep-dive analysis on customer journeys, marketing funnels, and portfolio performance. Develop predictive models to inform segmentation, personalization, and targeting strategies. Provide thought leadership in marketing measurement and performance optimization. Translate insights into business impact through crisp storytelling and stakeholder engagement. Mentor junior analysts and contribute to best practices in analytics delivery. Partner with marketing, finance, and data engineering to ensure robust data solutions. ________________________________________ Basic Qualifications Undergraduate degree with 6-8 years of analytical experience in consulting, analytics, or data science with a strong focus on marketing analytics. Deep knowledge of business KPIs, financials and organizational leadership Proficiency in tools such as SQL, Python, R, or SAS. Strong foundation in A/B testing, test-control analysis, and statistical modelling. Experience generating new knowledge or creating innovative solutions for a firm Proven ability to communicate insights effectively with clarity and executive presence. Experience with data visualization platforms (e.g., Tableau, Power BI). Analytical, interpretive, and problem-solving skills, including the proven ability to analyze large amounts of data and synthesize key findings and recommendations Logical, structured thinking and affinity for statistical and numerical analysis Advanced Word, Excel, and PowerPoint skills Ability to manage multiple tasks and clients in a fast-paced, deadline-driven environment Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs ________________________________________ Preferred Qualifications Background in banking, payments, or financial institutions. Experience working on digital marketing, lifecycle campaigns, or customer analytics. Exposure to or hands-on use of GenAI tools for marketing insight generation or automation. Master’s degree in Data Science, Statistics, Econometrics, Marketing, or related field is a plus. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Role: Sr. Data Analyst Location: Hyderabad Skills required(mandatory): Tableau, SQL, Advanced Excel (with VBA), data understanding Most importantly: The candidate should be willing to work from Office 5 days a week from Hyderabad location and evening shift 5.30 PM IST -3.30 AM IST, 3PM- 12 AM IST Or 5PM- 2AM IST Summary : This role will be part of a team, that is focussed on creating and developing Tableau Dashboards based on business process requirements and client expectations. The role requires communicating with business stakeholders, gathering needs, and developing efficient Business Intelligence (BI) solutions and analytics dashboards. In addition, the Associate will manage/mentor other Tableau developers. Responsibilities (not limited to) Developing, maintaining, and managing advanced reporting, analytics, dashboards and other analytical solutions. Performing and documenting data analysis, data validation, and data mapping/design. Reviewing and improving existing systems and collaborating with teams to integrate new systems. Conducting unit tests and developing database queries to analyze the effects and troubleshoot any issues. Recognize business requirements and devise a solution to meet data requirements Create reports using a variety of graphical and data modelling techniques Create new KPIs and monitor them consistently in datasets Gathering and normalizing data from multiple data sources Create, test, and publish dashboards and reports, as well as schedule refreshes Designing wireframes and beta dashboards with an emphasis on user experience, consistency, and visibility Enhance the whole process of data management, collecting, dashboard design, and product life-cycle management Use algorithms and statistical approaches to extract information from data Troubleshooting any data or performance issues with workbooks and data sources Keep an eye on reports and dashboards and make any required modifications Oversee Tableau-powered installations, architecture, and management Actively control Tableau's performance and usability to get the desired outcome Required Skills and Qualifications: Science / Engineering graduate Must have Total years of experience of at least 10 to 12 years in Data analyst Space. Should be aware of Semantic Layer designing in Tableau and Data Modelling. Should be aware of Data Warehousing concepts and SQL Coding Ability to query Snowflake and Salesforce using SQL (familiarity with SQL) Must have at least 7-8 Years of Experience in Tableau. Nice to Have Skills: Good to have knowledge in other Tools (Preferably Tableau Prep, Tableau CRM, Power BI) Understanding of data landscape and data availability (some knowledge of data engineering will be useful) Should have knowledge about Data Management Tools within Salesforce: Alation and Ataccama Understanding of data storytelling and how to visualize datasets Understanding of LOD and other advanced calculations within Tableau Experience with KPO/BPO, consulting firms preferred Experience working is many verticals; BFSI/ HC/LS ( preferred) The professional also needs to develop research ideas, formulate hypotheses, and validate them, analyse quantitative and qualitative data, synthesize findings, and demonstrate strong business writing acumen and presentation skills. Apply established research tools and methodologies/research techniques (e.g. in-depth financial analysis, case studies, and econometrics) to support business decision-making.

Join us as a "SM&D Electronic Trading Quant" at Barclays. As a quant researcher, the person would be responsible for designing and developing mathematical algorithms to underpin our market analytics, execution strategies and models, pricing, hedging, pre/post trade analytics. Ultimately, the purpose is to create best in class the business logic and models underlying electronic liquidity offering to clients and the associated analytics. This would involve the full chain from requirements gathering, design, implementation, productionisation, optimisation, monitoring and support. Responsibilities The Statistical Modelling and Development team remit lies within the trading activities in the Markets division, in particular electronic trading activities. It is responsible for: Algorithms and model-based business logic used in electronic trading in Markets. Data Science applied to trading and sales activities Underlying technology used in electronic trading and Data Science The primary purpose of electronic trading is to provide liquidity to clients on agency and principal basis, where either the connection to the client is electronic or provision of that liquidity requires electronic trading. This requires the analysis, research and development of proprietary algorithms and trading business logic using data mining and statistical techniques. The business logic includes information extraction from market data, price formation, auto-hedging, algorithmic risk management, execution strategies and smart order routing. You may be assessed on the key critical skills relevant for success in role, such as experience with SM&D Electronic Trading Quant, as well as job-specific skillsets. To be successful as a "SM&D Electronic Trading Quant", you should have experience with: Basic/ Essential Qualifications Graduation or master’s degree from reputed institution in a quantitative, mathematical or scientific discipline. Hands-on experience with algorithms or eTrading business logic. Strong programming skills (Python, Q/KDB & at least one of JAVA or C++). Excellent verbal and written communication skills. Desirable Skillsets/ Good To Have Strong understanding of econometrics, statistics and machine learning tools Prior experience as a quant researcher/trader with algorithms in a sell side environment Ability to multitask and work in a dynamic environment individually and as part of a team Logical thinking, problem-solving and mathematical skills is a must. This role will be based out of Noida. Purpose of the role To provide quantitative and analytical expertise to support trading strategies, risk management, and decision-making within the investment banking domain, applying quantitative analysis, mathematical modelling, and technology to optimise trading and investment opportunities. Accountabilities Development and implementation of quantitative models and strategies to derive insight into market trends and optimize trading decisions, pricing, and risk management across various financial products and markets. Working closely with sales teams to identify clients' needs and develop customised solutions. In-depth research, data analysis, and statistical modelling to derive insights into market trends, pricing, and risk dynamics. Provide front office infrastructure support though ownership and maintenance of analytical libraries. Provision of expertise on quantitative methodologies, technological advancements, and industry best practices to drive innovation within the trading environment. Analyst Expectations To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. Requires in-depth technical knowledge and experience in their assigned area of expertise Thorough understanding of the underlying principles and concepts within the area of expertise They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate. Will have an impact on the work of related teams within the area. Partner with other functions and business areas. Takes responsibility for end results of a team’s operational processing and activities. Escalate breaches of policies / procedure appropriately. Take responsibility for embedding new policies/ procedures adopted due to risk mitigation. Advise and influence decision making within own area of expertise. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function. Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Make evaluative judgements based on the analysis of factual information, paying attention to detail. Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Guide and persuade team members and communicate complex / sensitive information. Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

At American Express, our culture is built on a 175-year history of innovation, shared values, and Leadership Behaviors, with an unwavering commitment to back our customers, communities, and colleagues. As a member of Team Amex, you will benefit from comprehensive support for your holistic well-being and numerous opportunities to acquire new skills, develop leadership qualities, and advance in your career. Your voice and ideas hold significance here, as your contributions make a meaningful impact towards shaping the future of American Express. In this role, you will play a pivotal part in managing credit risk case setup, communications, and FRP strategies for the Consumer and SBS portfolio in International markets. Your responsibilities will include designing and overseeing E2E Credit Notification strategies, devising optimal No-further-charge strategies, and collaborating closely with various departments such as CCOs, Decision Science, Credit Operations, Compliance, and Finance to ensure favorable business outcomes. Minimum Qualifications for this role include demonstrated experience in driving and implementing credit risk management strategies, possessing strong analytical acumen, problem-solving skills, and a rigorous approach to decision-making. Intellectual curiosity and learning agility will be essential to explore and evaluate new ideas effectively. Preferred Qualifications would include an advanced degree in statistics, econometrics, operations research, mathematics, computer science, engineering, or a related quantitative field of study. American Express provides benefits that prioritize your holistic well-being to help you perform at your best. These benefits include competitive base salaries, bonus incentives, support for financial well-being and retirement, comprehensive medical, dental, vision, life insurance, and disability benefits, flexible working models, generous paid parental leave policies, access to global on-site wellness centers, counseling support through the Healthy Minds program, and career development and training opportunities. Please note that an offer of employment with American Express is subject to the successful completion of a background verification check, as per applicable laws and regulations.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. We are counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, contributing to a better working world for all. EY GDS Risk Consulting is a distinct industry-focused business unit offering a wide range of integrated services that combine deep industry experience with robust functional capability and product knowledge. The MENA Financial Services Risk Management (FSRM) team at EY GDS Risk Consulting Practice provides tailored risk solutions to assist clients in identifying, assessing, managing, and monitoring various financial and regulatory risks. This includes market, credit, operational, and regulatory risks arising from trading, asset-liability management, and capital markets activities. The division seeks collaborative individuals with strong ethics and attention to detail. Within FSRM, the Credit Risk (CR) team focuses on supporting clients, ranging from large domestic banks to global financial institutions, in implementing strategic, functional, and regulatory transformations across credit risk management within their banking book portfolios. Your role will involve working in diverse, multi-disciplinary teams to ensure high-quality outputs and service delivery to clients. You will be responsible for developing knowledge and implementing innovative solutions to meet clients" evolving needs. We value intellectual curiosity and a passion for driving solutions across organizational boundaries. Key Responsibilities: - Demonstrate deep technical expertise and industry knowledge, particularly in financial products focusing on lending solutions. - Design, assess, and benchmark financial risk management policies, frameworks, and methodologies across various risk domains such as credit risk, market risk, operational risk, liquidity risk, climate risk, and integrated risk topics. - Monitor project progress, manage risks, and communicate effectively with key stakeholders for successful outcomes. - Mentor and support the development of junior consultants. - Review, analyze, and validate work completed by junior team members to ensure accuracy and quality. - Adapt to projects involving model audits, validation, and development, showcasing flexibility and domain knowledge. Qualifications, Certifications, and Education: Must-have: - Graduate or Masters degree in a technical or quantitative discipline with a minimum of 3 years of relevant experience. - Strong foundation in statistics and econometrics. - In-depth knowledge of credit risk model development, validation, audit, and implementation in banking book portfolios. - Advanced technical skills in Python, SAS, SQL, R, and Excel. - Hands-on experience in data preparation, manipulation, and consolidation. - Strong documentation skills and ability to convey complex concepts clearly. - Effective multitasking skills and ability to deliver quality results under tight deadlines. Preferred: - Professional certifications such as FRM, CFA, PRM, or SCR. - Knowledge of regulatory modeling (BASEL, CCAR, IFRS9) and exposure to regulatory stress testing processes. - Familiarity with Interest Rate Risk in Banking Book (IRRBB) and data/business intelligence reporting. - Experience with machine learning models and their practical applications. - Willingness to travel for client engagements. Join EY and be part of a culture that offers training, opportunities, and creative freedom to make a difference. Work on inspiring projects with diverse clients, from startups to Fortune 500 companies. Benefit from education, coaching, and practical experience for personal development. Control your own growth with an individual progression plan, taking on challenging assignments in a high-quality, knowledge-sharing environment. Enjoy support, coaching, and feedback from engaging colleagues, opportunities for skill development and career advancement, and the freedom to shape your role in a way that suits you. EY is dedicated to building a better working world, creating long-term value for clients, people, and society, while fostering trust in the capital markets. With diverse teams across 150+ countries, EY leverages data and technology to provide trust through assurance and help clients grow, transform, and operate across various sectors. Through assurance, consulting, law, strategy, tax, and transactions services, EY teams tackle complex global issues by asking better questions to find innovative solutions.,

As a Faculty - Economics, you will have the responsibility of guiding students who are preparing for entrance exams and competitive economics exams. Your tasks will include creating study materials, preparing question papers, and fulfilling any other similar assignments provided by the company. Your expertise in subjects like Economics, Econometrics, Statistics, Indian economy, and various competitive examinations will be crucial for the role. Your primary responsibilities will involve delivering engaging and interactive lectures, presentations, and discussions on a wide range of topics in economics, including microeconomics, macroeconomics, econometrics, and economic theory. You are expected to employ effective teaching methodologies and strategies to ensure that students grasp the concepts thoroughly and enhance their learning experience. Additionally, you will be required to offer academic support to students by helping them understand complex economic theories, principles, and their practical applications. Providing individualized guidance, mentoring, addressing student queries, offering clarification, and providing extra resources to cater to their learning requirements will be part of your role. An essential requirement for this position is a prior appearance or qualification in UGC NET in economics, showcasing your competence in instructional design and delivery methods for content dissemination. Moreover, you should be comfortable with conducting teaching sessions on platforms like YouTube, as the role involves work from home. If you are passionate about educating and guiding students in the field of economics, and possess the necessary qualifications and skills, this role offers you the opportunity to make a significant impact from the comfort of your own home.,

Job Description: Job Title: Quant Analyst Corporate Title: AVP Location: Mumbai, India Role Description Group Strategic Analytics: Analytics and technology are seen as central to all the main units of the bank, including Investment Bank, Corporate Bank and to Risk and Control functions. The Strategic Analytics team combines expertise in quantitative analytics, modelling, pricing and risk management with deep understanding of system architecture and programming. The primary output is a scalable and flexible Front Office pricing and risk management system with consistent interface to both the Middle Office and Back Office. Apply English Sign In Search for Jobs The consistency in analytics and the technology platform ensures that no arbitrage can exist between various parts of the Bank as well as rational allocation of constrained resources, including risk budget, balance sheet, funding, and capital. What we ll offer you As part of our flexible scheme, here are just some of the benefits that you ll enjoy, Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Development of complex processes, framework or risk analysis as well as improvements Implement, enhance and maintain existing framework to measure market risks across the bank Understand and decipher business problem to convert into manageable smaller problem statements Coordinate and gather information from various stakeholders for deeper understanding of the business Design an automated solution which is optimized and scalable Develop and design tables and databases required for the storage of the data Develop applications/libraries for the implementation of the solution Remediation of regulatory as well as external and internal findings against the MR HS models in line with the assigned tasks Constant awareness and understanding of the key market risks taken by the business areas and communication to senior management and with ex external stakeholders, challenge the business within assigned areas when required Quality assurance (e.g. 4 eyes principle reviews) Your skills and experience Competencies Programming Skills At least 4 years experience in Python/C++ programming Good knowledge of OOPs programming concepts ( Class, Pointers, Data structure - stacks, queue) Experience in pulling data from various Market data sources. Independent handling and mitigating methodological or process weaknesses identified by regulators, auditors and internal model validation team Strong communication skills and presentation ability with attention to detail Good problem solving instincts and strong analytical skills Personal characteristics Ability to work independently as well as flexibly within intra or inter-departmental groups. Continuous advancement of own skills and knowledge Can-Do attitude Able to cope well under pressure and tight deadlines. Education/ Qualifications Strong educational background in Engineering/Science, Economics, Statistics or other numerate discipline preferably from good colleges in India e.g. IIT, NIT, ISI etc. Good knowledge of financial instruments and markets across all asset classes Knowledge of financial pricing models, risk models would be desirable Experience with applied econometrics (Hypothesis testing, PCA, Linear/Non-Linear Regression etc) will be a plus Certification courses like CFA/FRM/CQF How we ll support you Training and development to help you excel in your career. Coaching and support from experts in your team. A culture of continuous learning to aid progression. A range of flexible benefits that you can tailor to suit your needs.

Who we are Euromonitor International is the leading independent market research company; investigating and understanding what consumers want and need, helping businesses create products and services that cater to their preferences and trends. We are an organisation that champions flexibility, with opportunity to grow and be supported with continuous learning and development. What you will be doing The team is currently looking for a Data Analyst to be jointly responsible for the data standardisation, modelling, and forecasting of various demographic, socio-economic, and macroeconomic data meeting client needs and deadlines. This role demands a high level of analytical skill, proactive problem-solving, and commitment to continuously improving data modelling and forecasting techniques, as well as exploring and implementing new methods to improve data comparability and quality. Key drivers - Analyze and manipulate datasets, carrying out calculations and numerical analysis using R. Standardize raw statistical data to ensure cross-source comparability. Extrapolate and interpolate data using both quantitative and qualitative methods to develop modelling and forecasting techniques. Monitor, review, and enhance data quality. Document all work processes to ensure team alignment and best practices. Liaise with sales and marketing departments and handle client queries. What you ll need- Background in mathematics, econometrics, data science, statistics or similar fields. Proficiency in R. Basic knowledge of Python. Experience in data manipulation, statistical analysis and time series forecasting. Excellent communications skills and fluency in English (both oral & written). Strong organizational skills, creativity and attention to detail. Ability to work on own initiative. #LI-HYBRID #LI-RP1 What you ll get - Professional Development: Grow your career with opportunities within a consultative and professional environment Flexible Work Schedule: Achieve a healthy work-life balance with our flexible work schedule options, including remote work opportunities and flexible hours Positive Work Environment: Join a collaborative and inclusive workplace culture where your ideas are valued, diversity is celebrated, and teamwork is encouraged Community Involvement: Make a positive impact in the community through our volunteer programs, charitable initiatives, and corporate social responsibility efforts (and more .!) Our Values We act with integrity We are curious about the world We are stronger together We seek to empower We find strength in diversity

Job Description: In Scope of Position based Promotions (INTERNAL only) Job Title- IB Business Information Records Officer (BIRO) Location- Mumbai, India Corporate Title - VP Role Description Group Strategic Analytics: Analytics and technology are seen as central to all the main units of the bank, including Investment Bank, Corporate Bank and to Risk and Control functions. The Strategic Analytics team combines expertise in quantitative analytics, modelling, pricing and risk management with deep understanding of system architecture and programming. The primary output is a scalable and flexible Front Office pricing and risk management system with consistent interface to both the Middle Office and Back Office. The consistency in analytics and the technology platform ensures that no arbitrage can exist between various parts of the Bank as well as rational allocation of constrained resources, including risk budget, balance sheet, funding, and capital. What we ll offer you As part of our flexible scheme, here are just some of the benefits that you ll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Treasury Strats The candidate is required to work in collaboration with London/New York/Frankfurt team on various quantitative and regulatory driven projects. Candidate is required to understand the business problem, gather information required for the implementation and provide an end-to-end optimized solution on a scalable platform. Implementation of the project needs to be done in Python and C++ programming language. Candidate should possess a very good English communication skill in order to coordinate and communicate their work effectively with various stakeholders spread across globe. Role Responsibilities Development of complex processes, framework or risk analysis as well as improvements Implement, enhance and maintain existing framework to measure market risks across the bank Understand and decipher business problem to convert into manageable smaller problem statements Coordinate and gather information from various stakeholders for deeper understanding of the business Design an automated solution which is optimized and scalable Develop and design tables and databases required for the storage of the data Develop applications/libraries for the implementation of the solution Remediation of regulatory as well as external and internal findings against the MR HS models in line with the assigned tasks Constant awareness and understanding of the key market risks taken by the business areas and communication to senior management and with ex External stakeholders, challenge the business within assigned areas when required Quality assurance (e.g. 4 eyes principle reviews) Your skills and experience Competencies: Programming Skills At least 4 years experience in Python/C++ programming Good knowledge of OOPs programming concepts ( Class, Pointers, Data structure stacks, queue) Experience in pulling data from various Market data sources. Independent handling and mitigating methodological or process weaknesses identified by regulators, auditors and internal model validation team Strong communication skills and presentation ability with attention to detail Good problem solving instincts and strong analytical skills Personal characteristics: Ability to work independently as well as flexibly within intra or inter-departmental groups. Continuous advancement of own skills and knowledge Can-Do attitude Able to cope well under pressure and tight deadlines. Education/ Qualifications: Strong educational background in Engineering/Science, Economics, Statistics or other numerate discipline preferably from good colleges in India e.g. IIT, NIT, ISI etc. Good knowledge of financial instruments and markets across all asset classes Knowledge of financial pricing models, risk models would be desirable Experience with applied econometrics (Hypothesis testing, PCA, Linear/Non-Linear Regression etc) will be a plus Certification courses like CFA/FRM/CQ How we ll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs

About The Role : In Scope of Position based Promotions (INTERNAL only) Job Title- IB Business Information Records Officer (BIRO) Location- Mumbai, India Corporate Title - VP Role Description Group Strategic Analytics: Analytics and technology are seen as central to all the main units of the bank, including Investment Bank, Corporate Bank and to Risk and Control functions. The Strategic Analytics team combines expertise in quantitative analytics, modelling, pricing and risk management with deep understanding of system architecture and programming. The primary output is a scalable and flexible Front Office pricing and risk management system with consistent interface to both the Middle Office and Back Office. The consistency in analytics and the technology platform ensures that no arbitrage can exist between various parts of the Bank as well as rational allocation of constrained resources, including risk budget, balance sheet, funding, and capital. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Treasury Strat's The candidate is required to work in collaboration with London/New York/Frankfurt team on various quantitative and regulatory driven projects. Candidate is required to understand the business problem, gather information required for the implementation and provide an end-to-end optimized solution on a scalable platform. Implementation of the project needs to be done in Python and C++ programming language. Candidate should possess a very good English communication skill in order to coordinate and communicate their work effectively with various stakeholders spread across globe. Role Responsibilities Development of complex processes, framework or risk analysis as well as improvements Implement, enhance and maintain existing framework to measure market risks across the bank Understand and decipher business problem to convert into manageable smaller problem statements Coordinate and gather information from various stakeholders for deeper understanding of the business Design an automated solution which is optimized and scalable Develop and design tables and databases required for the storage of the data Develop applications/libraries for the implementation of the solution Remediation of regulatory as well as external and internal findings against the MR HS models in line with the assigned tasks Constant awareness and understanding of the key market risks taken by the business areas and communication to senior management and with ex External stakeholders, challenge the business within assigned areas when required Quality assurance (e.g. 4 eyes principle reviews) Your skills and experience Competencies Programming Skills At least 4 years experience in Python/C++ programming Good knowledge of OOPs programming concepts ( Class, Pointers, Data structure stacks, queue) Experience in pulling data from various Market data sources. Independent handling and mitigating methodological or process weaknesses identified by regulators, auditors and internal model validation team Strong communication skills and presentation ability with attention to detail Good problem solving instincts and strong analytical skills Personal characteristics Ability to work independently as well as flexibly within intra or inter-departmental groups. Continuous advancement of own skills and knowledge Can-Do attitude & Able to cope well under pressure and tight deadlines. Education/ Qualifications: Strong educational background in Engineering/Science, Economics, Statistics or other numerate discipline preferably from good colleges in India e.g. IIT, NIT, ISI etc. Good knowledge of financial instruments and markets across all asset classes Knowledge of financial pricing models, risk models would be desirable Experience with applied econometrics (Hypothesis testing, PCA, Linear/Non-Linear Regression etc) will be a plus Certification courses like CFA/FRM/CQ How well support you