Design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making
Collaborate closely with other functions/business divisions
Lead a team performing complex tasks, using well-developed professional knowledge and skills to deliver on work that impacts the whole business function
Set objectives and coach employees in pursuit of those objectives
Engage in complex analysis of data from multiple sources of information to solve problems creatively and effectively
Shape the Future of Financial Crime Prevention by building solutions that protect customers and strengthen controls
Contribute across the full model lifecycle—from initial concept and data exploration through to supporting deployment.

Requirements

Direct experience in designing, developing, and deploying machine learning or statistical models within financial services or similarly regulated industries
Working experience coding in Python and experience with machine learning and distributed data frameworks (e.g., scikit-learn, PyTorch, Spark)
Confirmed experience in areas such as Fraud detection, Credit Risk, and Anti-Money Laundering (or similar) in consumer banking
Responsibility for model lifecycle processes, from inception through development, deployment, and on-going maintenance
Experience with cloud platforms (AWS, Azure, or GCP) or ML-focused cloud-based services (e.g. Databricks) for advanced data analytics and/or machine learning
Practical experience applying DevOps/MLOps fundamentals—version control (Git), unit testing, CI/CD pipelines, modular code design—and experience operationalizing models in collaboration with technology teams
An understanding of model risk management, governance, controls, and documentation within the financial services' regulatory environment.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

machine learningstatistical modelsdata analysisPythonscikit-learnPyTorchSparkDevOpsMLOpsmodel lifecycle management

leadershipcoachingcollaborationproblem-solvingcreativitycommunication