Data Analyst

Roles & Responsibilities:

• Analyze trading, client, market and transaction data to generate actionable business insights
• Build predictive models for client churn, trading activity, cross-sell, and revenue forecasting
• Develop risk, fraud, and anomaly detection models for surveillance and compliance
• Perform time - series analysis on market data, volumes, and price movements
• Support pricing, brokerage optimization, and margin analysis
• Collaborate with business, risk, compliance, and technology teams
• Design analytical frameworks for client segmentation and personalization
• Create dashboards and reports for leadership using data visualization tools
• Ensure data quality, governance, and adherence to regulatory norms
• Continuously improve models based on business performance and market conditions

Key Competencies:

• Strong proficiency in Python or R for data analysis and modelling
• Experience with SQL and relational databases
• Solid understanding of statistics, probability and linear algebra
• Hands-on experience with machine learning algorithms
• Experience using libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch
• Data visualization experience using Matplotlib, Seaborn, Tableau
• Ability to translate business problems into analytical solutions
• Strong communication and stakeholder management skills
• Stock broking / AMC knowledge preferred