Mid Level Quantitative Analyst Jobs

INTRODUCTION

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits. We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve. Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

ABOUT THE JOB

At Bank of America, models are used for a broad range of activities, including but not limited to financial crimes, Anti-money laundering, Economic Sanctions, Fraud and other strategic or day-to-day decision-making purposes. Bank of America recognizes the risk and uncertainty associated with the use of its models and the need to effectively manage this risk both at an individual and aggregate level. The Model Risk Management (MRM) Team provides oversight for model risk across Bank of America's model inventory. The MRM Team independently validates and challenges newly developed and existing models, including model risk assessments, monitoring model performance, communication of issues to relevant businesses and escalation of model use breaches and remediation plans to relevant governance committees.

Enterprise Model Risk Management is seeking a Senior Quantitative Finance Analyst to conduct independent model validation, independent testing and review of complex models used to monitor and mitigate money laundering risk. The ideal candidate should be familiar with industry practices and have knowledge of up-to-date AML techniques. The candidate should also be able to provide both thought leadership and hands-on expertise in methodology, techniques, and processes in applying statistical and machine learning methods to manage the bank’s AML models and model systems.

The qualified candidate will be responsible for a broad range of model validation activities, including:

• Review, critical assessment, and challenge of models on conceptual soundness, assumptions and limitations, data, developmental evidence in support of modeling choices, performance, implementation, and documentation.
• Development and implementation of effective testing plans and testing code to critically challenge models through empirical analyses and to verify model implementation.
• Performing model review activities including but not limited to independent model validation/challenge, annual model review, ongoing monitoring report review, required action item review, and peer review.
• Conducting governance activities such as model identification, model approval and breach remediation reviews to manage model risk.
• Communicating and working directly with relevant modeling teams and their corresponding Front Line Units; and if needed, communicating, and interacting with the third line of defense (e.g., internal audit) as well as external regulators.
• Writing technical reports for distribution and presentation to model developers, senior management, audit, and banking regulators.
• Acts as a senior leader and subject matter expert on analytic/quantitative modeling techniques used for Anti-money laundering.

MINIMUM QUALIFICATIONS

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

• 5+ 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

SHIFT

1st shift (United States of America)

HOURS PER WEEK

40