Manager - Credit
Bajaj Finserv · Pune Division
- Experience1–3 yrs
- SalaryNot disclosed
- Work modeonsite
- Posted2 Oct 2026
About Bajaj Finserv
Bajaj Finserv is hiring in Pune Division in financial services. This role looks for around 1+ years of experience.
Skills
- Stress Testing
- Expected Credit Loss
- credit risk modeling
- Probability of Default
- Loss Given Default
- Exposure at Default
- statistical modeling
- forecasting
- segmentation
- clustering
- Python
- SQL
- R
- SAS
- regression
- logistic regression
- dimensionality reduction
- hypothesis testing
The role
A credit manager at a financial services company develops credit risk models for stress testing and regulatory analysis, applying statistical modeling and Expected Credit Loss. The role also uses Python and SQL for portfolio analysis and model monitoring.
Full job description
Location Name: Pune - Wakdewadi
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 assesses parameters like PD (probability of default), EAD and LGD which are critical from a regulatory perspective and forms important aspect of regulatory reporting purpose.
This role gives an opportunity of going beyond the above and gives deeper insights on the Regulatory norms on Credit Risk. The role allows candidate work on areas such as Stress Testing, Expected Credit Loss, Macro Economic stress, Macro stress models/forecasting etc.
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 adhoc deep dive data analysis on portfolio metrices 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 build and implemented suitably
Key Decisions / Dimensions
Model build design
Algorithms that should be used in model building Business interpretation of statistical models Model Monitoring results and it’s interpretation
Major Challenges
Updated on new statistical modeling methods
Writing efficient SQL and Python queries Incorporate the regulatory changes, as and when announced Liasing with IT and other teams to get models implemented in the systems
Qualifications
Required Qualifications and Experience
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 modelling, 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 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