Assistant Manager - Data Science

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Experience
6 - 10 yrs
Salary (CTC)
2,160,000 - 3,210,000
Job Location
Chennai, India
Vacancy
1
Designation
Assistant Data Science Manager
Job Type
ONSITE

Job Description

Designation: Assistant Manager ? Data Science

Level : L3

Experience:? 6 to 10 years

Location : ?Colombo

Job Description:

We are looking for experienced Data Scientist to join our team.

Responsibilities:

  • Decision Science ? Credit Risk Modelling and Portfolio Optimization

  • Build statistically robust application and behavior scorecards; develop PD, LGD, and 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 data QC.

  • 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 or CECL; Basel PD/LGD/EAD concepts).

  • Development of credit card portfolio optimization data models to drive spends and engagement

  • Portfolio Spends Growth ? Targeting basis segments/persona, merchants, campaign recommendation to drive cross border

Skills:

  • Must have working knowledge of credit cards

  • Must have hands on knowledge of building application score, behavior score, PD, LGD models

  • Solid understanding of IFRS 9 or CECL (lifetime ECL, staging/pooling), and model risk governance

  • Solid understanding of credit card lifecycle and credit card portfolio interventions

  • Python, ML, SQL, SAS and Tableau

  • Communication skills to explain complex methods to non ? technical audiences; clear documentation.

  • Exposure to bureau data (e.g., attributes, reason codes), alternative data, and identity/behavioral signals.

  • Exposure to transaction level credit card spends data

  • Credit risk modelling (IFRS 9, Python, ML, SQL, SAS and Tableau,PD, LGD models)

  • Communication skills to explain complex methods to non ? technical audiences; clear documentation.

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