AVP, Data Analytics & Insights Specialist, Compliance
Core
Building and maintaining Anti-Financial Crime (AFC) analytical models to support compliance, regulatory reporting, and risk management across the bank's regional operations.
Role type
Senior IC data scientist (compliance/AFC analytics)
Builds
AFC analytical models (rule-based, supervised/unsupervised) for AML/AFC risk detection
Domain
Banking / Financial Crime Compliance / Data Science
Deliverable
production ML models
Required skills
R, Python, Pandas, Keras, Tensorflow, Sklearn, data wrangling, machine learning, structured/semi-structured/unstructured data handling, distributed databases, natural language processing, network link analysis
Preferred skills
experience with large-scale analytics projects, familiarity with AML/AFC/compliance risks, best practice development standards
Technologies
Pandas, Keras, Tensorflow, Sklearn
Responsibilities
Liaise with stakeholders to incorporate feedback into model maintenance; perform re-training and recalibration of existing AFC models; develop new model narratives and build models for development pipeline; support special/high-priority regulatory projects; participate in model governance including testing and bias assessment
Seniority
Senior, hands-on IC
