Credit Risk Management - Financial Services

Our Client is one of the largest financial services company in India and is headquartered in Pune, Maharashtra.

Role - Credit Risk Management

Location - Pune

Job Description :

- Define smart Through the Door Triggers and ensure strong hind sighting of new acquisition.

- Sampling of physical files where data is not available in an organized manner and conduct testing on predefined scenarios

- Concurrent audit of sample underwriting cases

- Liaise with the Credit team on training of UW, implementation of policy

- Monitor policies and processes across portfolios and ensure its effectiveness

- Support any ad-hoc deep dive data analysis on portfolio metrics

- Plan projects by leveraging analytics, technology, databases to build automated and rule-based decision making with a view to minimize risk in business transactions and improve predictability of risk.

- Conduct detailed internal checks and due diligence prior to decision making on the master process and policy for approval/non-approval of loans

- Monthly assessment of various controls charts and KPI's at Segments / Geography/ Leverage/ Deviations and recommend appropriate actions to maintain healthy portfolio

- Actively engage in Portfolio management / Policy amendment and implementing agreed policies on login systems, Datamart, etc. thru underwriting and line assignment rules.

- Identify opportunities of better tracking the implementation of policy guidelines on field by constant monitoring of MCP and other critical parameters of the policy

- Work with stakeholders to formulate, test and implement tracking requirement

- Support Business UAT for new developments, provide signoff and closely monitor the development post-production deployment.

- Support Data Analysis / Process management within Risk teams

- Monitor offers in compliance with risk rules on a continuous basis

Qualification - MBA/ Postgraduate with 4 years in quantitative subjects

Experience :

- 1-4 years relevant analytical experience.

- 1-4 years of experience in credit underwriting/ hind sighting for unsecured retail loans or credit card

- Preferred Coding languages: SAS, SQL, R, Python.

- Experience in handling huge data base and the ability to do root cause analysis.

- Individual contributor with the capability to deliver projects within timelines.

- Effective verbal and written communication skills Excellent Excel & Power Point proficiency

- Basic understanding of IT / System skills.