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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.
Job Responsibility:
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
Requirements:
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
What we offer:
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