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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 model validation and Anti-Money Laundering practices, with advanced knowledge in statistical methods and quantitative modeling techniques. Proficient in Python, SAS, and SQL, with strong communication and critical thinking skills to effectively collaborate with teams and regulators.
Highest-signal resume keywords
Model ValidationAnti-Money Laundering ExpertiseStatistical MethodsPython ProgrammingCAMS Certification
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 TestingQuantitative AnalysisStatistical TechniquesFinancial Data AnalysisModel Risk Management
Soft Skills
Critical ThinkingCollaborationCommunication
Tools & Technologies
PythonSASSQL
Certifications & Qualifications
CAMS Certification
Industry Keywords
Anti-Money LaunderingModel Risk ManagementRegulatory ComplianceModel DevelopmentModel Assessment
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 to challenge models through empirical analyses and verify model implementation
- Perform independent model validation/challenge, annual model reviews, ongoing monitoring report reviews, required action item reviews, and peer reviews
- Conduct model identification, model 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 quantitative modeling techniques used for Anti-Money Laundering
Requirements
What you’ll need- Advanced degree (PhD or Masters) 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 and up-to-date knowledge of Anti-Money Laundering industry practices, techniques, and typologies
- Domain knowledge of model risk management and Anti-Money Laundering regulatory landscape
- 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 experience in model development and/or model validation is a plus
Benefits
Comp & perks- Affordable, competitive and flexible benefits
- Support for physical, emotional, and financial wellness
- Opportunities to learn, grow, and build a career
- Annual discretionary incentive award eligibility
- Paid time off
- Resources and support to make an impact and contribute to sustainable growth