Sr. Quantitative Finance Analyst, AML Model Risk Validation
Charlotte, North Carolina;Jersey City, New Jersey; Pennington, New Jersey; Atlanta, Georgia
Job Description:
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Job Description:
This job is responsible for conducting quantitative analytics and complex modeling projects for specific business units or risk @types. Key responsibilities include leading the development of new models, analytic processes, or system approaches, creating technical documentation for related activities, and working with Technology staff in the design of systems to run models developed. Job expectations may include the ability to influence strategic direction, as well as develop tactical plans.
Responsibilities:
Performs end-to-end market risk stress testing including scenario design, scenario implementation, results consolidation, internal and external reporting, and analyzes stress scenario results to better understand key drivers
Leads the planning related to setting quantitative work priorities in line with the bank's overall strategy and prioritization
Identifies continuous improvements through reviews of approval decisions on relevant model development or model validation tasks, critical feedback on technical documentation, and effective challenges on model development/validation
Maintains and provides oversight of model development and model risk management in respective focus areas to support business requirements and the enterprise's risk appetite
Leads and provides methodological, analytical, and technical guidance to effectively challenge and influence the strategic direction and tactical approaches of development/validation projects and identify areas of potential risk
Works closely with model stakeholders and senior management with regard to communication of submission and validation outcomes
Performs statistical analysis on large datasets and interprets results using both qualitative and quantitative approaches
Minimum Education Requirement: Strong and diversified quantitative skills, possess an advanced degree (PhD or Masters) in a quantitative field such as Mathematics, Physics, Finance, Economics, Engineering, Computer Science, Statistics, or related fields.
Required Qualifications:
2+ years of experience and knowledge in building and understanding of Anti-Money Laundering models and systems.
Strong familiarity and up-to-date knowledge with industry practices in the field Anti-Money Laundering techniques and typologies.
Domain knowledge and familiarity with regulatory landscape including but not limited to model risk management, Anti-money laundering.
Proficiency with Above-the Line and Below- the-Line (ATL/BTL) techniques, Sampling methods, AML Coverage Assessments is a plus.
Prior experience in model development and/or model validation is a plus.
Advanced knowledge and working experience in statistical methods, techniques, and financial data.
Proficient in Python, SAS and SQL.
Strong written and verbal communication skills and collaboration skills (this role involves communicating with various groups within the firm).
Critical thinking and ability to work independently and proactively identify, debate, escalate, suggest, and resolve issues.
CAMS certification (preferred)
Skills:
Critical Thinking
Quantitative Development
Risk Analytics
Risk Modeling
Technical Documentation
Adaptability
Collaboration
Problem Solving
Risk Management
Test Engineering
Data Modeling
Data and Trend Analysis
Process Performance Measurement
Research
Written Communications
Preferred Technical Skills:
Line of Business (LoB) Products, Services & Acumen
Financial Crimes Risk Programs
Credible Challenge
Regulatory Knowledge
Technical Documentation
AML Technical Modelling
Technical Modelling
Financial Crimes Compliance Risk Principles
Model Translation & Articulation
Model Validation & Governance
Shift:
1st shift (United States of America)
Hours Per Week:
40
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