Head Of Data Science & Credit Risk بدوام كامل في أبوظبي
التخصص
متفرقات
نوع الدوام
دوام كامل
الخبرة
أي مستوى
الموقع
أبوظبي
وصف الوظيفة
Role overviewLead the strategy for ML-powered underwriting and credit risk decisioning across multiple fast-growing markets.Own the full lifecycle of risk models from development and deployment through monitoring, experimentation, and business impact.Combine technical leadership with responsibility for credit policies, portfolio performance, and responsible lending.Build and mentor a data science and risk analytics team while remaining involved in complex technical work.AccountabilitiesLead machine learning model development for credit decisioning, fraud detection, risk segmentation, customer value, monetization, and marketing attribution.Develop alternative-data underwriting algorithms and real-time or near-real-time scoring models across markets and products.Ensure models are interpretable, robust, fair, reliable, and monitored for accuracy, stability, performance, and drift.Establish MLOps practices covering experimentation, versioning, deployment, monitoring, and production lifecycle management.Manage credit risk frameworks, approval strategies, risk thresholds, customer segmentation, portfolio monitoring, and early-warning indicators.Lead policy simulations, A/B testing, stress testing, expected credit loss modeling, and provisioning partnerships with Finance.Build and mentor data scientists and risk analysts, own the roadmap, and communicate recommendations to executives and board-level stakeholders.Required Qualifications10+ years of combined experience across data science, machine learning, and consumer credit risk.Experience managing credit policies and portfolios at scale across multiple products, markets, or both.Production experience building, deploying, and monitoring machine learning models in real-time or near-real-time environments.Strong experimentation, A/B testing, mathematical, statistical, SQL, exploratory data analysis, and cloud data platform skills.Experience building and leading technical teams while remaining engaged in model development and complex problem-solving.Excellent communication and commercial judgment, including the ability to connect technical decisions with growth and portfolio performance.Preferred QualificationsFamiliarity with Southeast Asian credit markets, credit bureaus, and alternative data sources is an advantage.Experience with MLflow or similar production machine learning frameworks is a plus.Understanding of IFRS 9 and local credit regulations across multiple markets is beneficial.Compensation And BenefitsSalary is based on experience and location.The role includes an opportunity to participate in the company equity program.The position offers international scope, professional growth, and the opportunity to build a function from the ground up.Mission and impactThe role supports responsible access to financial services through fairer, more accessible products.The work is positioned as a greenfield leadership opportunity in a mission-driven fintech environment.
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