Vice President, Data Scientist, Group Retail
Core
Lead the end-to-end development, maintenance, and governance of Financial Crime Risk (FCR) and Anti-Money Laundering (AML) analytical models to support regulatory compliance and risk management.
Role type
Senior IC data scientist (financial crime/risk analytics)
Builds
Production ML models (rule-based, supervised/unsupervised) for FCR/AML detection and reporting
Domain
Banking / Financial Services / Anti-Money Laundering (AML) / Financial Crime Risk
Deliverable
production ML models
Required skills
SQL, Python, R, SAS, Pandas, Keras, Tensorflow, Sklearn, data wrangling, machine learning, distributed databases, natural language processing, network link analysis, model governance, regulatory compliance mapping
Preferred skills
Large-scale analytics project experience, Anti-Financial Crime domain expertise, advanced analytics tools
Technologies
SQL, Python, R, SAS, Pandas, Keras, Tensorflow, Sklearn, Qlik, Power BI, Tableau
Responsibilities
Liaise with business stakeholders to incorporate feedback into model performance; re-train and recalibrate existing FCR models to prevent drift; develop new FCR models from data wrangling to testing; build model narratives and documentation; support special high-priority projects for regulatory requests; participate in model governance, testing, and bias assessment.
Seniority
Senior, hands-on IC
