Data Analyst - BFSI

Location: Pune (Aundh) - Work From Office

Opportunity: Work from Office

Experience Range: 1-3 years

Join a dynamic Fintech Credit Card company based in Pune as part of our core Decision Science team. This is an exciting opportunity to contribute directly to safeguarding our customers and business by focusing on identity fraud prevention and detection.

Purpose of Role:

You will play a key role in the monitoring, detection, and analysis of identity-related risks for our credit card and personal loan products. You will leverage data analytics and modelling techniques to identify potential fraud patterns, implement detection models, and contribute to the ongoing improvement of our identity fraud strategies.

Candidate Profile:

The candidate will be responsible for monitoring and detection of Identity risk through analytics and modelling and also authoring of relevant models in system. This role involves identifying novel ways of identifying identity risk using innovative ideas including embedding data, image processing and unusual patterns using AI / ML tools.

What you will do:

- Actively monitor systems and data streams to detect potential identity fraud risks and ongoing attacks using analytical techniques.

- Perform data analysis to uncover patterns, trends, and anomalies related to identity fraud.

- Explore and experiment with novel approaches to identify identity risk, potentially including techniques like data embedding analysis, basic image processing concepts (related to identity documents), and identifying

unusual patterns using AI/ML tools.

- Assist in the development and validation of statistical or ML/AI models for risk detection.

- Work closely with internal team members (like data engineers, product managers, and operations) to implement, refine, and troubleshoot fraud detection solutions

- Generate reports on fraud trends, model performance, and investigation outcomes.

Essential Duties and Responsibilities:

- Responsible for delivering high quality analytical and value added services.

- Responsible for automating insights and proactive actions on them to mitigate identity Risk.

- Work closely with the internal team members to deliver the solution.

- Use analysis and insights to develop value propositions for customers/banks.

- Maintain and enhance the suite of suitable analytics products.

- Actively seek to share knowledge within the team.

- Share findings with peers from other teams and management where required.

- Actively contribute to setting best practice processes.

Preferred Skills:

- 1-3 years of relevant experience in an analytical role, ideally focused on risk management, fraud detection, or data analysis, preferably within the BFSI (Banking, Financial Services, Insurance) industry.

- Proficiency with SQL/python for data querying and manipulation.

- Understanding of Machine learning & AI algorithms such as Gradient Boost, KNN, etc.

- Exposure to AI/ML techniques and libraries (This will be plus point)

- Strong analytical thinking and problem-solving abilities with keen attention to detail.

- Ability to work effectively both independently and as part of a team.

- Motivated to meet and exceed stretch targets.

- Demonstrated ability to communicate ideas and analysis results effectively both verbally and in writing to

technical and non-technical audiences.

Qualifications:

- Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Engineering, Economics, or related).