Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain Compliance and Financial Crime (Risk & CFCC) Data Stores and reporting solutions, including AI-backed product delivery.
Perform data programming using Python, SQL, Jupyter Notebook, and develop Tableau dashboards for data visualization and delivery.
Collaborate with Risk Framework Owners, CIO Technology teams, and stakeholders to define data solutions, ensure compliance, and support strategic data requirements.
Minimum Requirements
Bachelor's or Master's degree in Computer Science, Finance, or related quantitative discipline.
Minimum 2 years of relevant experience in data analysis or data programming roles related to Risk & CFCC.
Proficiency in SQL and Python programming, including Jupyter Notebook skills.
Experience or knowledge in Risk domain, Machine Learning techniques, and Generative AI.
Ideal Candidate Profile
Experience working in hybrid techno-functional roles integrating business analysis with technical data programming for Risk & Compliance domains.
Ability to manage end-to-end data delivery lifecycle with cross-functional stakeholders, including operational and strategic data solution design.
Comfortable working under time pressure, adapting to changing requirements, and liaising with multiple teams including CIO technology counterparts and Risk teams.