Credit Risk Manager - PD/LGD & EAD
TeamPlus Staffing Solution•Pune, Chennai, Bangalore
Full-timeSenior
👁️ 5 views•📝 0 applications•Posted 7/17/2026•Expires 8/20/2026
This role is no longer accepting applications
It closed on 8/20/2026. The full description is kept below for reference — see similar open roles further down, or browse all live jobs.
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Job Description
Overview:
We are currently looking for candidates with credit risk profiles for one of our fintech clients.
Role:
Credit Risk - PD, LGD, and EAD models (Bangalore, Chennai, Pune - Hybrid).
NOTE:
We specifically require candidates with end-to-end model development experience. Solely having model validation experience does not meet the requirement.
Key Responsibilities:
- Build statistically robust application and behavior scorecards; develop PD, LGD, and EAD models.
- Probability of Default (PD) Models.
- Loss Given Default (LGD) Models.
- Exposure at Default (EAD) Models.
- Design loss-forecasting frameworks (vintage, roll-rate/Markov, survival/hazard, GLM/GBM) at segment and portfolio levels.
- Engineer features from bureau, internal behavioral, transaction, device, and alternative data with rigorous quality control.
- Calibrate and backtest models; perform stability monitoring (PSI/CSI), discrimination (KS/AUC), and calibration tests.
- Implement explainability (reason codes/SHAP), bias/fair-lending checks, and challenger/benchmark models.
- Align models to accounting and capital frameworks (IFRS 9, CECL, or Basel concepts).
- Drive portfolio spend growth through segment/persona targeting and campaign recommendations.
Key Skills & Requirements:
- Experience in NBFC, Banking, Credit Card, or Fintech sectors.
- Hands-on experience building application scores, behavior scores, and PD/LGD models.
- Solid understanding of IFRS 9 or CECL (lifetime ECL, staging/pooling) and model risk governance.
- Strong knowledge of the credit card lifecycle and portfolio interventions.
- Proficiency in Python, Machine Learning, and SQL.
- Excellent communication skills for documenting and explaining complex methods to non-technical audiences.
- Exposure to bureau data, alternative data, and identity/behavioral signals.
Interview Process:
Total 3 technical rounds (2 rounds evaluation with Latent View and 1 with client).
Required Skills
AccountingCommunicationCredit RiskForecastingIFRSMachine LearningNBFCPythonQuality ControlSQL