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Senior Data Scientist [Credit Risk]
Talent Seed
Dubai, UAE
Full Time
Senior
2 days ago
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About the Role
Talent Seed is partnering with an innovative fintech to find a Senior Data Scientist to lead credit risk model development. You will own end-to-end models including PD, LGD, EAD, and ECL, and deploy production-grade machine learning models.
Key Skills for This Role
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Responsibilities
- Develop and own end to end credit risk models, including Probability of Default (PD), Loss Given Default (LGD), Exposure at Default (EAD), and Expected Credit Loss (ECL)
- Design, train, validate, and deploy production grade machine learning and statistical models
- Build robust credit scorecards using techniques such as WOE/IV, calibration, monotonic binning, and reason codes
- Engineer high quality features from lending, transactional, bureau, and financial data
- Monitor model performance, stability, and drift while continuously improving predictive accuracy
- Work closely with engineering and product teams to integrate models into production systems
- Produce model documentation and validation artefacts suitable for internal governance and regulatory review
Requirements
- Strong experience building and deploying credit risk models within a bank, digital bank, fintech, or regulated lender
- Strong understanding of PD, LGD, EAD, IFRS 9, Basel, and Expected Credit Loss (ECL) methodologies
- Proven experience developing credit scorecards and model validation techniques
- Strong Python skills with experience using libraries such as pandas, scikit learn, XGBoost, LightGBM, or CatBoost
- Experience working with large, complex financial datasets and applying rigorous feature engineering and validation techniques
- Ability to communicate complex modelling concepts to both technical and non technical stakeholders
Full Job Posting
About the Opportunity
- We’re partnering with an innovative fintech. As the business continues to scale, they’re looking for a Senior Data Scientist to lead the development of credit risk models that will power real world lending decisions.
- This is a hands on, individual contributor role with significant ownership and the opportunity to shape the company’s risk modelling capability from the ground up.
What You’ll Be Doing
- Develop and own end to end credit risk models, including Probability of Default (PD), Loss Given Default (LGD), Exposure at Default (EAD), and Expected Credit Loss (ECL).
- Design, train, validate, and deploy production grade machine learning and statistical models.
- Build robust credit scorecards using techniques such as WOE/IV, calibration, monotonic binning, and reason codes.
- Engineer high quality features from lending, transactional, bureau, and financial data.
- Monitor model performance, stability, and drift while continuously improving predictive accuracy.
- Work closely with engineering and product teams to integrate models into production systems.
- Produce model documentation and validation artefacts suitable for internal governance and regulatory review.
What We’re Looking For
- Strong experience building and deploying credit risk models within a bank, digital bank, fintech, or regulated lender.
- Strong understanding of PD, LGD, EAD, IFRS 9, Basel, and Expected Credit Loss (ECL) methodologies.
- Proven experience developing credit scorecards and model validation techniques.
- Strong Python skills with experience using libraries such as pandas, scikit learn, XGBoost, LightGBM, or CatBoost.
- Experience working with large, complex financial datasets and applying rigorous feature engineering and validation techniques.
- Ability to communicate complex modelling concepts to both technical and non technical stakeholders.
Nice to Have
- Experience with MLOps, model monitoring, or model governance.
- Exposure to explainable AI techniques such as SHAP.
- Experience within SME, commercial, or retail lending.
- Familiarity with Azure or other cloud platforms.
- Experience working in the GCC or broader MENA financial services market.
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