Sr. Quantitative Finance Analyst

Posted 2 Days Ago
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Jersey City, NJ, USA
In-Office
125K-210K Annually
Senior level
Big Data • Fintech • Mobile • Payments • Financial Services • Data Privacy
The Role
Leads quantitative market risk and capital modeling, including stress testing, scenario analysis, model development, validation oversight, statistical analysis, and regulatory reporting. Designs and deploys innovative risk models, provides technical leadership, improves model governance, collaborates with stakeholders and Technology teams, and produces technical documentation. Requires strong quantitative programming, financial risk modeling, communication, and leadership capabilities.
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:
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

Bank of America has an opportunity for a Senior Quantitative Finance Analyst within the Alternative Modelling Group (AMG), a Global Risk Analytics (GRA) team. Global Risk Analytics (GRA) is a sub-line of business within Global Risk Management (GRM). The GRA team provides quantitative capabilities supporting global risk management and capital management and develops a consistent set of risk and capital models and analytical tools that support decision making across the bank. As part of GRA - Alternative Modelling Group (AMG) builds alternative models, using innovative methods, which challenge and benchmark risk and capital champion models across the enterprise; and has a vision to challenge what is possible across Risk and Capital Modelling. The role will involve re-designing, optimising, and leading the development, implementation and deployment of the next generation of Risk and Capital models to improve the bank’s risk management capability. This is a challenging and intellectually stimulating role, across a dynamic and innovative risk and capital modelling portfolio that spans the Enterprise. We are looking for experienced technically minded problem solvers with proven leadership credentials and the desire to work across functional areas to drive the design framework, model development, implementation, and deployment of next generation risk and capital models; including champion and challenger; able to leverage a wealth of experience in the pursuit of modelling excellence.

Responsibilities:

  • Provide leadership and technical acumen and experience in the design, development, implementation and deployment of new models, analytic processes or systems approaches.

  • Critical to the role is to be able to provide current industry standards to develop innovative approaches to modelling problems.

  • Collaborate with stakeholders across the company to collect requirements and then develop and build modelling and technical solutions to meet them; and effectively communicate those solutions to stakeholders.

  • Provide insight and thought leadership into the implementation of new models, analytic processes or systems approaches.

  • Promote the adoption of industry best practice for model development, implementation and monitoring.

  • Collaborate with stakeholders across the firm to identify opportunities to improve existing models/processes.

  • Produce clear and coherent technical documentation for internal and regulatory purposes.

  • Be able to effectively govern models and processes to ensure we meet the highest levels of regulatory expectation.

  • Take ownership to deliver results and meet critical deadlines.

Minimum Education Requirement: Master’s degree in related field or equivalent work experience

Required Qualifications:

  • Highly numerical degree (Masters required and PhD level desirable) in Statistics, Financial Mathematics, Applied Mathematics, Economics, Physics or Engineering

  • Several years of relevant work experience or equivalent educational training 

  • Technical skills: Statistics, Probability Theory, Econometrics, Financial Mathematics

  • Experience developing and implementing large quantitative models, managing large data sets.

  • Proven leadership abilities, working across organizational lines.

  • Strong programming skills; SQL, Python, VBA, Latex

  • Strong technical writing and clear verbal communication skills 

  • Experience of, and ability to work under pressure and deliver to tight deadlines.

  • Ability to work independently, multitask and properly prioritize multiple projects.

  • Curiosity and willingness to develop and work on new ways of modelling.

  • Capable of providing leadership to junior team members

  • Organized, practical and execution focused with some project management experience.

Desired Qualifications:

  • Experience in financial risk modelling, Capital modelling, loss forecasting etc.

  • Knowledge of regulatory guidelines including CCAR, CECL, DFAST, ICAAP.

  • Good stakeholder engagement skills with an ability to collaborate with colleagues in other functions (business, risk and model validation)

  • Self-motivated and intellectually curious about both the role, supporting technologies and the wider bank.

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)

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

  • Master's degree in Statistics, Financial Mathematics, Applied Mathematics, Economics, Physics, Engineering, or a related highly quantitative field, or equivalent work experience
  • Several years of relevant work experience or equivalent educational training
  • Strong knowledge of statistics, probability theory, econometrics, and financial mathematics
  • Experience developing and implementing large quantitative models and managing large datasets
  • Strong programming skills in SQL, Python, VBA, and LaTeX
  • Proven leadership abilities and experience working across organizational lines
  • Strong technical writing and clear verbal communication skills
  • Ability to work under pressure and deliver to tight deadlines
  • Ability to work independently, multitask, and prioritize multiple projects
  • Curiosity and willingness to develop new modeling approaches
  • Ability to provide leadership to junior team members
  • Organized, practical, execution-focused approach with some project management experience
  • Experience in financial risk modeling, capital modeling, or loss forecasting
  • Knowledge of regulatory guidelines including CCAR, CECL, DFAST, and ICAAP
  • Strong stakeholder engagement and cross-functional collaboration skills
  • PhD-level education in a quantitative field

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, with medical, dental, vision, virtual care via Teladoc, wellness programs, and specialized support for cancer and menopause. Wellness credits and an always‑on EAP with in‑person sessions add to the depth of care.
  • Parental & Family Support New parents can access up to 26 weeks of leave, including 16 weeks fully paid for eligible teammates, alongside back‑up child and adult care. Family‑building resources and reimbursements (e.g., fertility, adoption, surrogacy) and a dedicated Life Event Services team extend support across life stages.
  • Equity Value & Accessibility Broad‑based equity through the Sharing Success program, including $1B in stock to nearly all non‑executive employees in January 2026, is intended to foster an ownership mindset. Stock awards (including RSUs) are a recurring component that aligns employees’ interests with shareholders.

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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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