Data Analyst

Sbicap Securities; Mumbai; On-site; INR 700,000 - 1,100,000; Full time

Job summary

Sbicap Securities is seeking a data analytics professional to transform trading and client data into actionable insights. You will build predictive models for churn, trading activity, and revenue forecasting, and develop detection systems for risk and compliance.

You will work with Python/R, SQL, and ML libraries to deliver dashboards and analytics, collaborating with risk, compliance and technology teams to implement scalable solutions.

Qualifications

• Strong proficiency in Python or R for data analysis and modelling.

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

Skills

Python

R

SQL

Statistics

Machine learning

Data visualization

Communication

Stock broking knowledge

Tools

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

Matplotlib

Seaborn

Tableau

Job description

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