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Senior Quantitative Finance Analyst
Bank of America. Conduct independent model validation, independent testing, and review of complex models used to monitor and mitigate money laundering risk .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Anti-Money Laundering model validation and risk management, with advanced proficiency in statistical methods and programming languages such as Python, SAS, and SQL. Strong communication and collaboration skills are essential for interacting with modeling teams and regulatory bodies.
Highest-signal resume keywords
Anti-Money Laundering Model ValidationStatistical Methods and TechniquesPython ProgrammingCAMS CertificationModel Risk Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Model ValidationStatistical AnalysisData AnalysisModel GovernanceEmpirical TestingQuantitative ModelingModel DevelopmentSQLSASPython
Soft Skills
Critical ThinkingCommunicationCollaborationProblem SolvingIndependence
Certifications & Qualifications
CAMS Certification
Industry Keywords
Anti-Money LaunderingModel Risk ManagementRegulatory ComplianceQuantitative AnalysisFinancial Data
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Conduct independent model validation, independent testing, and review of complex models used to monitor and mitigate money laundering risk
- Review and critically assess models for conceptual soundness, assumptions, limitations, data, developmental evidence, performance, implementation, and documentation
- Develop and implement testing plans and testing code for empirical model challenges and implementation verification
- Perform independent model validation/challenge, annual model reviews, ongoing monitoring report reviews, required action item reviews, and peer reviews
- Conduct model governance activities, including model identification, approval, and breach remediation reviews
- Communicate and work with modeling teams and corresponding Front Line Units
- Interact with internal audit and external regulators when needed
- Write technical reports for model developers, senior management, audit, and banking regulators
- Act as a senior leader and subject matter expert on analytic and quantitative modeling techniques used for Anti-Money Laundering
Requirements
What you’ll need- Advanced degree (PhD or Master's) in a quantitative field such as Mathematics, Physics, Finance, Economics, Engineering, Computer Science, Statistics, or related fields
- 5+ years of experience building and understanding Anti-Money Laundering models and systems
- Strong familiarity with current Anti-Money Laundering industry practices, techniques, and typologies
- Domain knowledge of model risk management and Anti-Money Laundering regulatory landscapes
- Advanced knowledge and working experience in statistical methods, techniques, and financial data
- Proficient in Python, SAS, and SQL
- Strong written, verbal communication, and collaboration skills
- Critical thinking and ability to work independently and proactively identify, debate, escalate, suggest, and resolve issues
- CAMS certification preferred
- Familiarity with Above-the-Line and Below-the-Line techniques, sampling methods, and AML coverage assessments is a plus
- Prior model development and/or model validation experience is a plus
Benefits
Comp & perks- Annual discretionary incentive plan eligibility
- Benefits eligibility
- Paid time off
- Resources and support for employees
- Flexible benefits
- Physical, emotional, and financial wellness support
- Opportunities to learn, grow, and make an impact