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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