Sr. Quantitative Finance Analyst

Posted An Hour Ago
Be an Early Applicant
3 Locations
In-Office
125K-210K Annually
Senior level
Big Data • Fintech • Mobile • Payments • Financial Services • Data Privacy
The Role
Conduct independent validation and testing of anti-money laundering models within Enterprise Model Risk Management. Review model soundness, assumptions, data, performance, implementation, and documentation; develop testing plans and code; monitor model risk; support governance and remediation; and communicate findings to modeling teams, management, audit, and regulators. Serve as a subject matter expert on AML quantitative modeling techniques and regulatory practices.
Summary Generated by Built In

Job Description:

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!


Job Description:

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 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:

  • 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

Pay Transparency details

US - NJ - Jersey City - 525 Washington Blvd (NJ2525), US - NY - New York - ONE BRYANT PARK - BANK OF AMERICA TOWER (NY1100)

Pay and benefits information

Pay range$125,000.00 - $210,000.00 annualized salary, offers to be determined based on experience, education and skill set.

Discretionary incentive eligible

This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.

Benefits

This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.

Skills Required

  • Advanced degree, such as a PhD or Master's, in mathematics, physics, finance, economics, engineering, computer science, statistics, or a related quantitative field
  • 5+ years of experience building and understanding Anti-Money Laundering models and systems
  • Strong, current knowledge of Anti-Money Laundering techniques, typologies, and industry practices
  • Knowledge of the regulatory landscape, including model risk management and Anti-Money Laundering requirements
  • Advanced knowledge and working experience with statistical methods, techniques, and financial data
  • Proficiency in Python, SAS, and SQL
  • Strong written, verbal communication, and collaboration skills
  • Critical thinking and ability to work independently, proactively identify issues, debate, escalate, suggest solutions, and resolve problems
  • Experience with Above-the-Line and Below-the-Line techniques, sampling methods, and AML coverage assessments
  • Prior experience in model development and/or model validation
  • CAMS certification

Bank of America Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Bank of America and has not been reviewed or approved by Bank of America.

  • Healthcare Strength — Health coverage is described as comprehensive, including medical, dental, and vision plans along with mental health resources, EAP support, and virtual care options. These offerings indicate breadth across preventive care, counseling, and convenient access channels.
  • Retirement Support — Retirement benefits include up to a 5% 401(k) company match plus an additional 2% or 3% annual company contribution based on years of service. This structure signals meaningful long-term savings support beyond standard matching.
  • Parental & Family Support — Family support features 26 weeks of parental leave, with 16 weeks fully paid for eligible employees, plus programs for fertility, adoption, surrogacy, childcare, and backup care. These resources emphasize support across family-building and caregiving needs.

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The Company
HQ: Charlotte, NC
208,000 Employees
Year Founded: 1784

What We Do

We make financial lives better for our clients and our communities through the power of every connection. Our employees are at the heart of this purpose, and are key to driving responsible growth. Every day, across the globe, our employees bring a commitment to our purpose and to driving responsible growth by living our values: deliver together, act responsibly, realize the power of our people and trust the team. A key aspect of driving responsible growth is doing so in a sustainable manner, a critical pillar of which is being a great place to work for our teammates.

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