Head of Data Science & Credit Risk Strategy

Jobgether

Turkey

On-site

TRY 900,000 - 1,400,000

Full time

5 days ago
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Benefits offered by this job

Equity program
Leadership opportunity
International scope

Job summary

Partner company in Turkey seeks a Head of Data Science & Credit Risk to lead ML-powered underwriting and risk decisioning across markets. You will own the full lifecycle of risk models, from development to monitoring, while shaping credit policies and portfolio health.

You will mentor a team of data scientists and risk analysts, collaborate with Engineering, Product, Finance, and executives, and drive sustainable growth through data-driven strategies and responsible lending practices.

Qualifications

  • Lead data science and credit risk function across markets.
  • Build and mentor a high-performing risk analytics team.
  • Develop and deploy ML models for underwriting and risk decisioning.

Responsibilities

  • Lead the design, testing, deployment, and monitoring of ML models for credit decisioning and risk segmentation.
  • Develop underwriting algorithms using alternative data sources to expand access.
  • Build real-time scoring models across markets and products.
  • Establish model governance, monitoring, and drift detection.
  • Lead MLOps practices for deployment, monitoring, and lifecycle management.
  • Define credit risk frameworks, policies, and segmentation approaches.
  • Track portfolio health and establish early-warning indicators.
  • Drive policy and model changes with A/B testing and KPI-based refinement.
  • Collaborate with Engineering, Product, and Finance to translate insights into outcomes.
  • Establish partnerships with data providers and credit bureaus.

Skills

Data science leadership
Credit risk management
Production ML
Experimentation

Tools

MLflow
BigQuery

Job description

Partner company in Turkey seeks a Head of Data Science & Credit Risk to lead ML-powered underwriting and risk decisioning across markets. You will own the full lifecycle of risk models, from development to monitoring, while shaping credit policies and portfolio health.

You will mentor a team of data scientists and risk analysts, collaborate with Engineering, Product, Finance, and executives, and drive sustainable growth through data-driven strategies and responsible lending practices.

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