Cluster Manager - Risk/Senior Cluster Manager - Risk

Risk Management is core to Bajaj Finance. Most of the decisions in Risk Management are data driven and analytical. In order to get faster decision and assess risk of customers during loan acquisition and account management, customer behavior pattern needs to be checked through On-us and Off-us data sources.
Provide analytical solutions through modeling, credit policy and strategy, reporting and data analysis for the BFL businesses
Support any adhoc deep dive data analysis on portfolio matrices
Track and improve key performance indicators, losses and portfolio quality. Provide deep dive analysis on portfolio matrices.
Work closely with Risk team to understand their need and provide Analytical solution.
Assess if any early warning signals using data analysis and segmentations and take pro-active policy actions as and when required
Support in managing and improving various offer strategies, control offer generation and distribution through data analysis
Work closely with Risk teams to support business growth and drive new initiatives
Ongoing liaising with IT, Credit and BIU teams to ensure all policies, processes, data flow are working efficiently and all required changes are build and implemented suitably
Interpretation and Presentation to senior management

4. MAJOR CHALLENGES
(Challenges faced on an on-going basis in carrying out the job)
- Writing efficient SQL and Python queries
- Liasing with IT and other teams to get models implemented in the systems

5. DECISIONS
(Key decisions taken by job holder at his/her end)
- Business interpretation of statistical models
- Model Monitoring results and it s interpretation

6. INTERACTIONS
(Key working relationships a job holder needs to have INSIDE and OUTSIDE the company to accomplish the job)

Internal Clients
Roles you need to interact with inside the organization to enable success in your day to day work
Portfolio Risk Managers, Information Technology (IT), Chief Risk Officer, Risk Analytics Head.

External Clients
Roles you need to interact with outside the organization to enable success in your day to day work
Na

7. DIMENSIONS
(Key numerical data which will reflect the scope and scale of activities concerning this job)

Financial Dimensions
(These should be quantifiable numerical amounts)
Na

Other Dimensions
(Significant volume dimensions associated with the job)
Individual contributor

Required Qualifications and Experience
Qualifications
MBA / Post Graduate in quantitative subjects or B.Tech/M.Tech
Work Experience
3-5 years relevant analytical experience in Scorecard development, ML modelling, Segmentation and Clustering.
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 timeline
Effective verbal and written communication skills