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Job Purpose

Risk Management is core to Bajaj Finance. Most of the decisions in Risk Management are data-driven and analytical. Statistical models are required to look at multi-variate dimensions from a risk perspective including calculating the expected credit loss, scenario analysis, forecasting, stress testing, etc. Statistical models are built and scorecards are prepared which assess parameters like PD (probability of default), EAD, and LGD which are critical from a regulatory perspective and form an important aspect of regulatory reporting purposes. This role gives an chance to go beyond the above and provides deeper insights on the regulatory norms on credit risk. The role allows the candidate to work on areas such as stress testing, expected credit loss, macroeconomic stress, macro stress models/forecasting, etc.

Culture Anchor:

- Work Hard - Consistently puts in effort, plans, and tracks daily progress to achieve targets.
- Execute with Rigor - Takes responsibility for meeting targets with focus and effort.
- Own It - Maintains honesty and fairness in all interactions in line with the organization's policies.
- Act with Integrity

Duties and Responsibilities

- Build Stress Testing Framework and execute the same.
- Develop, validate, and execute Stress Testing Tools and Stress Testing Engine.
- Build, monitor, validate, and track PD, LGD, EAD models for Stress Testing as per RBI guidelines.




- Provide analytical solutions through statistical modeling, credit policy and strategy, reporting, and data analysis for the BFL businesses.
- Support any ad-hoc deep dive data analysis on portfolio metrics.
- Support in data analysis and segmentations.
- Ongoing liaising with IT, Credit, and BIU teams to ensure all policies, processes, data flow are working efficiently, and all required changes are built and implemented suitably.

Required Qualifications and Experience

Qualifications:

- B-Tech/MBA Finance/Postgraduate with 1-3 years in quantitative subjects (Statistics/Data Science).

Work Experience:

- 1-3 years relevant analytical experience in model development, ML modeling, forecasting, segmentation, and clustering.
- Preferred coding languages: SAS, SQL, R, Python.
- Classical statistical techniques: regression, logistic regression, clustering, dimensionality reduction techniques, hypothesis testing.
- Experience in handling huge databases and the ability to do root cause analysis.
- Individual contributor with the capability to deliver projects within timelines.
- Effective verbal and written communication skills.

Locations

- Job Level: GB03
- Job Title: Manager - Credit, UW B2C Tractor Finance
- Job Location Country: India
- State: Haryana
- Region: North
- City: Rewari
- Location Name: Rewari
- Tier: Tier 3

Apply on Kit Job: kitjob.in/job/43lf6o

📌 Manager - Credit (Rewari)
🏢 Bajaj FinServ
📍 Rewari