Senior Quantitative Finance Analyst at Bank of America

Jersey City, New Jersey, United States -

Full Time

Start Date

Immediate

Expiry Date

24 Jul, 26

Salary

210000.0

Posted On

25 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Quantitative Analytics, Market Risk Modeling, Python, Derivatives Pricing, Value at Risk, Statistical Estimation, FRTB, Stress Testing, CCAR, Risk Management, Technical Documentation, Data Modeling, Critical Thinking, Problem Solving, Collaboration, Communication

Industry

Banking

Description

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 is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. 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. Team Overview - Global Risk Analytics (GRA) and Enterprise Independent Testing (EIT) are sub-lines of business within Global Risk Management (GRM). Collectively, they are responsible for developing a consistent and coherent set of models, analytical tools, and tests for effective risk and capital measurement, management and reporting across Bank of America. GRA and EIT partner with the Lines of Business and Enterprise functions to ensure the capabilities it builds address both internal and regulatory requirements, and are responsive to the changing nature of portfolios, economic conditions, and emerging risks. In executing its activities, GRA and EIT drive innovation, process improvement and automation. The Global Markets Risk Analytics (GMRA) team under GRA is responsible for developing, maintaining, and monitoring Counterparty Credit Risk (CCR), the Internal Model Method (IMM), Central Clearing Counterparties (CCP), and Value at Risk (VaR). GMRA also develops analytical tools to support regulatory, audit, and internal risk management needs for Global Markets. This role sits within Market Risk Quants (MRQ) team under GMRA. MRQ team’s remit spans market risk models for internal risk management, market risk capital requirements for Internal Model Approach (IMA) approved Legal Entities within Basel 2.5 regulatory framework, and IMA and Standardized Approach (SA) for upcoming Fundamental Review of the Trading Book (FRTB) regulatory framework, stress testing such as CCAR, EST, ICAAP, Recovery and Resolution Planning, and Climate Risk. Overview of the Role - The position provides an excellent opportunity for a Market Risk Quant to be at heart of BoFA’s model development for global trading activities. In this role the successful candidate will be responsible for critical regulatory deliverables involving complex market risk models. The role will require high degree of motivation and energy as well as high technical/analytical competencies to develop and enhance the firm’s critical market risk models. Position Overview - As a senior quantitative finance analyst in MRQ team, you will be responsible for independently conducting quantitative analytics and complex modeling projects. Leads efforts in development of new models, analytic processes, or system approaches. Creates documentation for all activities and may work with technology staff in design of any system to run models developed. Incumbents possess excellent quantitative/analytic skills and are able to influence strategic direction, as well as develop tactical plans. Develop and enhance quantitative risk models, analytics, and applications in support of market risk assessment and regulatory capital calculation in current Basel 2.5 (e.g., VaR, Stressed VaR, Risks Not in VaR) and/or upcoming FRTB (e.g., Standard Approach, Expected Shortfall, Non-modellable risk factor, Risks Not in Model) regulatory framework Develop and enhance quantitative risk models, analytics and applications for the firm’s Stress Testing including CCAR Conduct analysis for implementation of market risk models in strategic model platform. Develop model performance monitoring metrics such as benchmarking, back-testing as part of continuous efforts to identify and remediate potential model weakness Closely work with Global Markets Risk (GMR) and Front-Line Units (FLU) trading desks for internal risk management, Enterprise Capital Management (ECM) for market risk capital requirements, technology partners for model implementation, front-office pricing model quant developers, and Model Risk Management (MRM) for model risk oversight Perform quantitative analysis in preparation of exams, regular dialogues with supervisory regulators across the globe. 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 Minimum Education and Experience Requirement: Master’s degree in related field or equivalent work experience PhD (preferred) or master’s degree in quantitative fields such as financial engineering, mathematics, statistics, physics, computer science, or equivalent Solid 5+ years of work experience in developing FO pricing models or market risk models Advanced programming skills in Python with 5+ years of experience Solid understanding of derivatives pricing In depth understanding of Value at Risk and statistical estimation methods Strong communication (both written and verbal) and collaboration skills (this project involves communicating with various groups within the firm) Effective thinking skill to be able to independently and proactively identify/suggest/resolve issues Desired Skills and Experience Work experience in FRTB Experience in large scale model platform implementation in collaboration with other teams Strong Operational Excellence mindset Effective organizational skill. Shift: 1st shift (United States of America) Hours Per Week: 40 Pay Transparency details US - IL - Chicago - 540 W Madison St - Bank Of America Plaza (IL4540), US - NJ - Jersey City - 525 Washington Blvd (NJ2525), US - NJ - Pennington - 1600 American Blvd - Hopewell Bldg 6 (NJ2600) 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. Bank of America is committed to help employees through the transition period when they’re displaced as a result of a workforce reduction, realignment or similar measure. Please review the resume writing and interviewing tips provided below to help prepare you for your next career opportunity. Getting started Regardless of the position you are interested in, the starting points to building your resume are the same: 1. Determine the job or types of jobs you want to do and research their responsibilities and qualifications. 2. Think about why you can do the job and make a list of your skills that are relative to the job. 3. Identify experiences or accomplishments that show your proficiency in the skills required for the job. 4. Summarize your abilities, accomplishments and skills into a brief, concise document. Considerations when writing a resume • Do be brief. Resumes should be 1-2 pages in length. • Do be upbeat and active in your wording. • Do emphasize what you have done clearly and concretely. • Do be neat and well organized. • Do have others proofread and critique your resume. Spell check. Make it error free. • Do use high quality, white or light colored 8½ x 11 paper. Use a laser printer if possible. • Don't be dishonest, always tell the truth about yourself in the most flattering light. • Don't include salary history or requirements. • Don't include references. • Don't include accomplishments that do not support your professional goals. • Don't include anything that isn't relevant. (For example, don't mention your fondness for swimming unless you want to work on the water.) • Don't use italics, underlining, shadows or other fancy treatments. Seven steps to a successful interview 1. Anticipate –Put yourself in the interviewer's position. What do you believe the interviewer is most interested in? Why do you think you have been invited to interview? 2. Research –What are the primary functions of the line of business? What are the success factors for the job? Is there a job description available? 3. Assess –Think about your skills, abilities, knowledge, interests, traits, values and accomplishments. Match them to what you know about the job. Consider which ones you should highlight. 4. Prepare Answers –Think about what the interviewer may ask, determine what the best answer is and write it down. 5. Prepare Questions – Interviewing is a two-way street. By asking thoughtful questions, you communicate your interest and learn a lot about the job. Choose two or three questions to ask your interviewer. Avoid asking a lot of questions about vacation time or breaks. 6. Practice – It may seem awkward, but it is the best way to come across well in an interview. Practice your own "great responses" with others or in front of a mirror until you appear relaxed and at ease. 7. Follow-up – Send a brief follow-up letter to the interviewer. Keep in mind that the many job searchers will not send a follow-up letter. Sending one can become a competitive advantage. Pay Transparency - https://careers.bankofamerica.com/en-us/pay-transparency Privacy Statement - https://careers.bankofamerica.com/en-us/privacy-notice

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Responsibilities

The role involves leading the development of complex market risk models and analytical processes to support regulatory capital calculations and internal risk management. The analyst will collaborate with trading desks, technology partners, and risk management teams to implement models and ensure compliance with global regulatory frameworks.