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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analysis, model development, and visualization to translate complex financial crime typologies into actionable insights. Proficient in SQL and Python for data analytics, with a strong foundation in statistics and machine learning methodologies.
Highest-signal resume keywords
SQLPython for Data AnalyticsStatisticsMachine Learning/AI ModellingData Visualization
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisModel DevelopmentExploratory Data AnalysisHypothesis GenerationAutomating WorkflowsRoot-Cause AnalysisPerformance MonitoringAnalytical ApproachesDetection MethodologiesData Synthesis
Soft Skills
CollaborationCommunicationProblem-SolvingCritical ThinkingPresentation Skills
Tools & Technologies
Interactive Visualization ToolsDecision-Support Tools
Industry Keywords
Financial CrimeRegulatory KnowledgeGovernanceRisk PatternsData Governance
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Translate financial crime typologies into detection strategies and develop querying logic
- Generate hypotheses, design analytical approaches, and validate findings through data analysis
- Perform exploratory data analysis to identify emerging risk patterns, customer characteristics, and risk operation insights
- Synthesize and present data-driven findings and recommendations to technical and non-technical audiences
- Design and develop interactive visualization and decision-support tools for business users
- Automate recurring operational workflows
- Develop, calibrate, and test supervised-learning models for network ranking
- Monitor model performance and evaluate modelling methodologies
- Develop new detection methodologies and analytical approaches
- Translate business problems into structured analytical problems and practical solutions
- Conduct root-cause and impact analyses
- Independently review and challenge existing methodologies and analytical solutions
- Assess assumptions, data, results, and business implications and recommend enhancements
- Contribute to documentation, governance, controls, and ongoing monitoring
- Collaborate with internal team members, business users, data engineers, technology teams, and other partners
Requirements
What you’ll need- Bachelor's degree in STEM (e.g., Science, Technology, Engineering, Mathematics, Statistics, Data Science, Economics)
- 1 year or above of work experience; intern/co-op experience in analytical fields counts
- SQL
- Python for data analytics
- Statistics
- ML/AI modelling experience is a bonus
- Large Language Modelling experience is a bonus
- AI agentic experience is a bonus
- Anti-financial crime domain knowledge is beneficial but not required
- Regulatory and governance knowledge and working experience are beneficial but not required
Benefits
Comp & perks- Base salary
- Variable compensation
- Health and well-being benefits
- Savings and retirement programs
- Paid time off
- Banking benefits and discounts
- Career development support
- Regular development conversations, training programs, and online learning platform
- Mentoring programs
- Reward and recognition programs
- Training and onboarding sessions
- Accessibility accommodations throughout the interview process