Manager & Data Scientist (Trading Analytics & Risk Intelligence)

Manager - Data Scientist (Trading Analytics & Risk Intelligence) - 4+ Years - Mohali Location Mohali We are looking for a highly analytical Data Scientist Trading Analytics & Risk Intelligence to analyze large-scale trading data, uncover behavioural patterns, and drive data-backed decisions across trading operations and risk management. This role focuses on machine learning, statistical modelling, and quantitative research to enhance trader performance insights and strengthen risk frameworks. Responsibilities Analyze large-scale trading and behavioural datasets to identify performance patterns and risk signals Build machine learning and statistical models for anomaly detection, segmentation, and predictive insights Evaluate historical data to recommend improvements in risk policies, controls, and decision frameworks Develop dashboards, scoring models, and automated reporting tools for business and risk teams Collaborate with stakeholders to convert data insights into actionable business recommendations Requirements Bachelors / Masters in Data Science, Statistics, Mathematics, Computer Science, or related fields 4+ years of experience in data science, analytics, or quantitative research Strong programming skills in Python and SQL Handson experience in machine learning, statistical modelling, and large dataset analysis Strong problemsolving, analytical thinking, and data storytelling skills Benefits Opportunity to work on highimpact trading analytics and risk intelligence problems Exposure to advanced machine learning and financial data use cases Collaborative, fastpaced environment with strong ownership Career growth in data science, fintech, and quantitative analytics We are committed to inclusive hiring practices and do not discriminate on any grounds. Manager - Data Scientist (Trading Analytics & Risk Intelligence) - 4+ Years - Mohali Location Mohali We are looking for a highly analytical Data Scientist Trading Analytics & Risk Intelligence to analyze large-scale trading data, uncover behavioural patterns, and drive data-backed decisions across trading operations and risk management. This role focuses on machine learning, statistical modelling, and quantitative research to enhance trader performance insights and strengthen risk frameworks. Responsibilities Analyze large-scale trading and behavioural datasets to identify performance patterns and risk signals Build machine learning and statistical models for anomaly detection, segmentation, and predictive insights Evaluate historical data to recommend improvements in risk policies, controls, and decision frameworks Develop dashboards, scoring models, and automated reporting tools for business and risk teams Collaborate with stakeholders to convert data insights into actionable business recommendations Requirements Bachelors / Masters in Data Science, Statistics, Mathematics, Computer Science, or related fields 4+ years of experience in data science, analytics, or quantitative research Strong programming skills in Python and SQL Handson experience in machine learning, statistical modelling, and large dataset analysis Strong problemsolving, analytical thinking, and data storytelling skills Benefits Opportunity to work on highimpact trading analytics and risk intelligence problems Exposure to advanced machine learning and financial data use cases Collaborative, fastpaced environment with strong ownership Career growth in data science, fintech, and quantitative analytics We are committed to inclusive hiring practices and do not discriminate on any grounds.