Quantitative Finance Analyst

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 modeling projects for specific business units or risk types. Key responsibilities include developing new models, analytic processes, or systems approaches, creating technical documentation for related activities, and working with Technology staff in the design of systems to run models developed. Job expectations include having a broad knowledge of financial markets and products.

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

• Supports 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

• Supports model development and model risk management in respective focus areas to support business requirements and the enterprise's risk appetite

• Supports the 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

• Design, develop, and support Python-based solutions that automate production processes supporting forecasting, stress testing, and model execution activities.

• Build and maintain data sourcing, transformation, monitoring, reporting, and post-model workflows sing python and Excel (mostly).

• Develop scalable solutions using Python, SQL, and related technologies to improve efficiency, enhance controls, and reduce operational risk.

• Investigate production issues, perform root cause analysis, and partner with technology and business teams to implement sustainable solutions.

• Work closely with model developers, forecast administrators, technology teams, and business partners to understand business requirements and translate them into technical solutions.

• Support model onboarding, model enhancements, GCP migrations, and production implementations across the SERA portfolio.

• Develop and execute validation procedures to ensure accuracy and completeness of model inputs, outputs, and downstream reporting.

• Create and maintain process documentation, operational procedures, controls, and governance artifacts supporting regulatory and audit requirements.

• Identify opportunities to streamline workflows, eliminate manual processes, and improve production stability.

• Participate in release testing, implementation activities, and ongoing support of quarterly and monthly forecast production cycles.

• Contribute to a collaborative team environment that emphasizes continuous improvement, knowledge sharing, and operational excellence.

Required Education, Skills, and Experience:

• Masters' degree in Computer Science, Engineering, Mathematics, Statistics, Economics, Finance, Information Systems, or a related quantitative discipline.

• 4+ years of professional experience in software development, data engineering, analytics, or model operations.

• Advanced Python programming experience with demonstrated ability to design, develop, troubleshoot, and support production-grade solutions.

• Strong SQL skills with experience querying and validating large datasets.

• Strong analytical and problem-solving skills with the ability to investigate issues independently and understand impacts across upstream and downstream processes.

• Ability to quickly learn complex business processes and understand how multiple systems, models, and data flows interact.

• Demonstrated success operating in a fast-paced environment with competing priorities and time-sensitive deliverables.

• Strong attention to detail and personal ownership of work products.

• Excellent verbal and written communication skills.

• Ability to effectively collaborate across technology, quantitative, operational, and business teams.

• Strong organizational skills with the ability to manage multiple initiatives simultaneously.

Desired Skills and Experience:

• Experience supporting regulatory forecasting, stress testing, model execution, or financial risk management processes.

• Experience with Tableau, Alteryx, or other visualization and reporting tools.

• Understanding of governance, controls, audit, and compliance requirements within financial services.

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

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$89,800.00 - $155,000.00 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.