Vice President, Data Scientist, Group Retail
Core
Lead the end-to-end development, maintenance, and governance of Financial Crime (FCR) and Anti-Money Laundering (AML) analytical models to support regulatory compliance and risk management for the bank's retail and corporate clients.
Role type
Senior IC data scientist (financial crime & compliance)
Builds
Production ML models (rule-based, supervised/unsupervised) for fraud detection, transaction monitoring, and regulatory reporting
Domain
Banking, Financial Crime, AML/FCR, Compliance
Deliverable
production ML models
Required skills
SQL, Python, R, SAS, Pandas, Keras, Tensorflow, Sklearn, data wrangling, machine learning, distributed databases, NLP, network link analysis, model governance, bias assessment
Preferred skills
Large-scale analytics project experience, AML/FCR domain expertise, natural language processing, network link analysis
Technologies
SQL, Python, R, SAS, Pandas, Keras, Tensorflow, Sklearn, Qlik, Power BI, Tableau
Responsibilities
Re-train and recalibrate existing FCR models to prevent drift; develop new FCR models from data wrangling to deployment; collaborate with stakeholders to define model narratives and requirements; support special high-priority projects related to regulatory requests; participate in model governance, testing, and bias assessment; communicate technical findings to non-technical business users and regulators.
Seniority
Senior, hands-on IC