Manager & Data Scientist (Trading Analytics & Risk Intelligence)

Job Description

Manager - Data Scientist (Trading Analytics & Risk Intelligence) - 4 Years - MohaliLocationMohaliWe 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.ResponsibilitiesAnalyze large-scale trading and behavioural datasets to identify performance patterns and risk signalsBuild machine learning and statistical models for anomaly detection, segmentation, and predictive insightsEvaluate historical data to recommend improvements in risk policies, controls, and decision frameworksDevelop dashboards, scoring models, and automated reporting tools for business and risk teamsCollaborate with stakeholders to convert data insights into actionable business recommendationsRequirementsBachelors / Masters in Data Science, Statistics, Mathematics, Computer Science, or related fields4 years of experience in data science, analytics, or quantitative researchStrong programming skills in Python and SQLHandson experience in machine learning, statistical modelling, and large dataset analysisStrong problemsolving, analytical thinking, and data storytelling skillsBenefitsOpportunity to work on highimpact trading analytics and risk intelligence problemsExposure to advanced machine learning and financial data use casesCollaborative, fastpaced environment with strong ownershipCareer growth in data science, fintech, and quantitative analyticsWe are committed to inclusive hiring practices and do not discriminate on any grounds. Manager - Data Scientist (Trading Analytics & Risk Intelligence) - 4 Years - MohaliLocationMohaliWe 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.ResponsibilitiesAnalyze large-scale trading and behavioural datasets to identify performance patterns and risk signalsBuild machine learning and statistical models for anomaly detection, segmentation, and predictive insightsEvaluate historical data to recommend improvements in risk policies, controls, and decision frameworksDevelop dashboards, scoring models, and automated reporting tools for business and risk teamsCollaborate with stakeholders to convert data insights into actionable business recommendationsRequirementsBachelors / Masters in Data Science, Statistics, Mathematics, Computer Science, or related fields4 years of experience in data science, analytics, or quantitative researchStrong programming skills in Python and SQLHandson experience in machine learning, statistical modelling, and large dataset analysisStrong problemsolving, analytical thinking, and data storytelling skillsBenefitsOpportunity to work on highimpact trading analytics and risk intelligence problemsExposure to advanced machine learning and financial data use casesCollaborative, fastpaced environment with strong ownershipCareer growth in data science, fintech, and quantitative analyticsWe are committed to inclusive hiring practices and do not discriminate on any grounds.

Keyskills :
Data ScienceStatisticsMathematicsComputer ScienceMachine LearningPythonSQLData AnalysisRisk Management