WHO WE ARE IS WHAT WE DO.

Deel is the all-in-one payroll and HR platform for global teams. Our vision is to unlock global opportunity for every person, team, and business. Built for the way the world works today, Deel combines HRIS, payroll, compliance, benefits, performance, and equipment management into one seamless platform. With AI-powered tools and a fully owned payroll infrastructure, Deel supports every worker type in 150+ countries—helping businesses scale smarter, faster, and more compliantly.
Among the largest globally distributed companies in the world, our team of 6,000 spans more than 100 countries, speaks 74 languages, and brings a connected and dynamic culture that drives continuous learning and innovation for our customers.

SKILLS AND COMPETENCIES

• Demonstrated leadership expertise in credit risk management roles for 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.

ABOUT THE ROLE

Lead and scale the Credit Risk & Analytics function driving AI/ML-based underwriting, real-time portfolio monitoring, collections strategy, and risk-adjusted performance across Deel’s portfolio. You’ll build predictive, real-time analytics systems, operationalize models with Product & Engineering teams, and embed governance and compliance into every step. Your work will shape underwriting strategy, support sustainable growth, and serve overlooked segments.

RESPONSIBILITIES:

• 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.