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Deel

Senior Director, Credit Risk and Analytics

RemoteUnited Kingdom, Germany, France +3 more only
Published
Role
Data Science
Experience
Lead
Employment
Full-time
Company size
Enterprise
Salary not disclosed
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Open to GB, DE, FR, ES, CA, IL only. Set where you work from to check your eligibility.

No BS summary

Senior leader (15+ years) to lead Credit Risk & Analytics for consumer and SME lending, building and deploying AI/ML underwriting and real-time monitoring. Must have hands-on experience with production ML models and alternative data; role is remote across multiple countries listed (UK, DE, FR, ES, CA, IL, US).

Core skills

AI/ML underwriting modelsalternative data integrationreal-time risk monitoring

Required skills

model validationmodel deployment (production)real-time monitoring and alertingA/B testing for underwriting/pricingpredictive analytics for collectionscredit risk governance

Optional skills

CFAFRMPRMexperience with consumer and SME lending

What you'll do

  • Build and maintain a credit risk analytics capability to provide timely, actionable insights for portfolio optimisation, loss forecasting, and provision adequacy.
  • Lead iterative development of underwriting and pricing models from evaluating AI/ML algorithms, sourcing alternative data to production deployment and continuous optimization with cross-functional partners.
  • Identify and integrate non-traditional data sources (e.g., transactional, behavioural) to boost predictive accuracy and credit access for underserved markets.
  • Architect real time monitoring frameworks and automated alerting systems for portfolio health, KRIs, concentration exposure, and collections performance.
  • Ensure proactive risk identification for new products, markets, or customer segments.
  • Design and execute A/B testing frameworks for new underwriting/scoring criteria, pricing, and customer segments.
  • Develop and implement credit risk governance processes, including Credit Committees, actionable reporting and escalation protocols.
  • Ensure models and analytics pipelines are auditable, scalable, deployment-ready, and aligned with best practices.
  • Collaborate with Product, Sales, Operations, Compliance, and Engineering to align underwriting strategy with business objectives and economic levers.
  • Employ predictive analytics to improve collections strategy, focusing on customer outcomes and recovery efficiency.
  • Enable risk-awareness and analytics literacy across teams via workshops, training, and documentation.

What they require

  • A minimum of 15 years in credit risk management, including leadership roles in consumer and small business lending.
  • Hands-on experience building, validating, deploying AI/ML underwriting or scoring models.
  • Experience leveraging alternative data sets for Consumer and SME lending.
  • Demonstrated success in managing credit risk for new products, markets, and customer segments.
  • Strong leadership, with ability to train non‑technical stakeholders in analytics and risk concepts.
  • Degree in Finance, Economics, Risk Management, Statistics, or related field; Master’s preferred.
  • Relevant certifications (e.g., CFA, FRM, PRM) will be considered a strong advantage.

Benefits

  • Health Insurance Effective from Day 1 (Medical, Dental, & Vision)
  • 401k Retirement Plan
  • Disability Insurance
  • Life Insurance
  • Employee Assistance Program (EAP)
  • Flexible Savings Account (FSA)
  • Flexible time off (PTO)
  • 12 paid holidays per year
  • Parental leave: 16 weeks for the birthing parent and 8 weeks for the non-birthing parent
  • Stock grant opportunities dependent on your role, employment status and location
  • Additional perks and benefits based on your employment status and country
  • The flexibility of remote work, including optional WeWork access

Deel is an all-in-one payroll and HR platform for global teams, combining HRIS, payroll, compliance, benefits, performance, and equipment management. It supports worker types in 150+ countries and is described as one of the largest globally distributed companies, with 7,000 team members across more than 100 countries.

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Salary not disclosed