Início » Head of Data Science, Credit Risk Analytics

Head of Data Science, Credit Risk Analytics at Cleo

Cargo Head of Data Science, Credit Risk Analytics
Publicado 12 Jun 2026
Expirado 12 Jul 2026
Empresa Cleo
Localização Portugal | PT
Tipo de Contrato Full Time

Descrição da Função:

Últimas informações de emprego de Cleo para o cargo de Head of Data Science, Credit Risk Analytics. If the Head of Data Science, Credit Risk Analytics vaga em Portugal corresponde às suas qualificações, submeta a sua candidatura ou CV atualizado diretamente através do portal Jobkos.

Tenha em atenção que candidatar-se a um emprego exige o cumprimento de requisitos da empresa. Esperamos que a oportunidade em Cleo para o cargo de Head of Data Science, Credit Risk Analytics abaixo seja adequada ao seu perfil.

About Cleo

At Cleo, we are building a hyper‑intelligent financial advisor in your pocket, aimed at providing access to financial services for everyone, regardless of background or income. With over £300 million in annual recurring revenue and more than 2× year‑over‑year growth, we’re a profitable, fast‑growing unicorn scaling fast across the UK and the US.

About the Role

As Head of Data Science for Credit Performance, you will lead the measurement, monitoring and optimisation of Cleo's credit risk framework. You’ll own the design of risk metrics, maintain the monitoring dashboards and drive data‑driven decisions that keep our credit products healthy and profitable.

Key Responsibilities
  • Credit Performance Measurement & Monitoring: Own the design and maintenance of the credit risk metric framework, including arrears, default, yield, LTV and marginal loss rates; build dashboards and alerts for early detection of shifts.
  • Model Understanding & Monitoring: Partner with Risk Modelling to translate model health metrics into actionable policy or product recommendations; detect and diagnose feature drift and separate model‑driven changes from operational causes.
  • Analytical Deep‑Dives: Lead root‑cause analysis for key metric deteriorations and deliver driver analysis using SHAP, feature importance or decomCargo; quantify the risk‑adjusted impact of product changes.
  • Policy & Decisioning Support: Define evaluation frameworks for policy changes, quantify marginal impact of shifts, and support elasticity and profitability modelling for amounts, pricing and feature‑level decisioning.
  • Team Leadership & Stakeholder Management: Directly manage a team of Credit Data Scientists and Analysts, set priorities, develop people, translate findings to senior leadership and build cross‑functional relationships with Commercial, Product, Data Science and Finance.
Qualifications
  • Strong analytical skills with fluency in SQL and Python.
  • Background collaborating with decision science or data science teams on feature engineering and model evaluation.
  • Experience conducting large‑scale A/B experiments and interpreting results to drive product and business decisions.
  • Fluent in credit portfolio metrics—arrears buckets, roll rates, loss rate, yield/marginal loss—and how they tie to unit economics and P&L.
  • Hands‑on experience building and maintaining performance monitoring systems and alerting frameworks.
  • Experience working with predictive models (credit, fraud, marketing), interpreting metrics like AUC, calibration, PSI, drift.
  • Track record of taking analyses end‑to‑end and delivering measurable impact.
  • Experience directly managing a team—setting priorities, managing performance and developing people.
  • Skilled at translating technical analysis into actionable recommendations for senior stakeholders.
Nice to Have
  • Familiarity with short‑term or revolving credit products.
  • Experience working with both UK and US regulatory frameworks.
Benefits
  • Competitive compensation package (base + equity) with 3‑annual reviews.
  • Salary banding: £116,510‑£144,319 UK, London Hybrid / £111,296‑£139,273 UK, Remote.
  • Work at a fast‑growing tech startup backed by top VC firms.
  • Clear progression plan and flexible working arrangements.
  • Empresa‑wide performance reviews every 4 months and generous pay increases for high‑performing team members.
  • Equity top‑ups for promoted team members, 25 days annual leave + public holidays plus an extra day for every year at Cleo (up to 30 days).
  • 6% employer‑matched pension in the UK and Private Medical Insurance via Vitality.
  • Enhanced parental leave, 1 month paid sabbatical after 4 years, workplace nursery scheme and regular socials.

We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers and people from lower socio‑economic backgrounds. If there’s anything we can do to accommodate your specific situation, please let us know.

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Informação da Vaga:

  • Empresa: Cleo
  • Cargo: Head of Data Science, Credit Risk Analytics
  • Local de Trabalho: Portugal
  • País: PT

Como enviar a sua candidatura:

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