Global Head of Data Science & Credit Risk — Equity

Jobgether

Lavamünd

Vor Ort

EUR 233.000 - 338.000

Vollzeit

Vor 4 Tagen
Sei unter den ersten Bewerbenden
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Benefits dieser Stelle

Equity program
Leadership opportunity
Professional growth
Modern tech stack
International scope
Meaningful impact
Mission-driven environment

Zusammenfassung

Jobgether partners with a Swiss fintech to recruit a Head of Data Science & Credit Risk. You will lead the strategy behind ML-powered underwriting and risk decisioning, owning end-to-end model lifecycle and portfolio governance.

You will build and mentor a high-performing team, collaborate with Engineering, Product, and Finance, and drive business impact through data-driven decisions that expand fair, responsible lending across markets.

Qualifikationen

  • 10+ years of combined experience in data science, ML, and consumer credit risk.
  • Proven leadership of credit policies and portfolios at scale.
  • Production ML development, deployment, and monitoring experience.
  • Strong SQL and data analysis, plus cloud data platforms.
  • Excellent communication to non-technical stakeholders.

Aufgaben

  • Lead ML model development for credit decisioning and risk segmentation.
  • Develop underwriting algorithms using alternative data sources.
  • Build real-time scoring models across markets and products.
  • Ensure models are interpretable, robust, and monitored for drift.
  • Establish robust MLOps practices for deployment and monitoring.
  • Develop and manage credit risk frameworks, policies, and thresholds.
  • Track portfolio risk metrics and establish early warning indicators.
  • Lead A/B testing and refine decisioning strategies.
  • Collaborate with Finance on provisioning and capital allocation.

Kenntnisse

SQL
Cloud platforms
Communication
Leadership
Experimentation
Statistical mastery
Startup mindset
Regional knowledge: SEA

Tools

Python
MLflow
BigQuery

Jobbeschreibung

Jobgether partners with a Swiss fintech to recruit a Head of Data Science & Credit Risk. You will lead the strategy behind ML-powered underwriting and risk decisioning, owning end-to-end model lifecycle and portfolio governance.

You will build and mentor a high-performing team, collaborate with Engineering, Product, and Finance, and drive business impact through data-driven decisions that expand fair, responsible lending across markets.

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