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 building subject matter expertise in bank processes - including underlying data, flows, and controls - and designing and implementing technical solutions leveraging modular, reusable software components to enhance Global Risk Management’s (GRM) data, testing, and analytical capabilities. The goal is to deliver timely, useful, and actionable independent insights into the operational health of the bank's processes.

Key responsibilities include collaborating with process owners, risk managers, and technologists to assess current state processes, underlying data, process flows and risks, and to design the future state of data, analytics and testing. Job expectations include becoming domain-specific subject matter expert in bank processes and data, and applying a combination of software engineering, big data and risk management skills to automate the evaluation of processes and control effectiveness, as well as adherence with applicable laws, regulations, policies, and procedures.

Responsibilities

• Demonstrates core skills, including critical thinking, decisiveness, leveraging enterprise, proactive project management, risk management, adaptability, collaboration, customer and client focus, effective communication (written and verbal), and control rigor and discipline

• Partners effectively with process and data owners across Front Line Units and Technology to become subject matter expert in specific business domains and gain deep understanding of the existing control landscape and testing requirements

• Applies programming skills and software development lifecycle principles to deliver high-quality, scalable solutions for testing the bank's processes and to meet business, risk management and regulatory requirements

• Continuously enhances technical capabilities to adapt to evolving portfolios, economic conditions, emerging risks and technology capabilities

• Designs, develops, documents, and implements repeatable, robust and scalable testing solutions

• Sources and evaluates data required for testing, and builds big data pipelines as needed to support scalable analytics

• Collaborates with stakeholders across the bank to understand testing processes and requirements

• Communicates technical implementations clearly and effectively, tailoring explanations to a broad range of audiences, including senior stakeholders, to articulate the rationale and impact of testing solutions

Minimum Education Requirements

• Bachelor’s degrees or above in fields including but not limited to: Mathematics, Computer Science, Statistics, Process and Mechanical Engineering, Operations Research, Data Science (or equivalent work experience)

Qualifications

• At least 2 years of relevant experience in software engineering in Quantitative Finance or other industries

• Strong programming skills (e.g., Python) and solid understanding of Software Development Life cycle (SDLC) principles

• Ability to document and clearly articulate the rationale and impact of technical solutions to a wide range of audiences

• Demonstrated experience in at least one (preferably more) of the following areas:

  • Demonstrating strong analytical and problem-solving capabilities

  • Applying advanced quantitative methods to drive innovative solutions to test business processes and relevant data

  • Knowledge of financial services industry and related regulations

  • Working with large scale data sets with structured or unstructured data

  • Implementing process improvements and automation

Skills

• Written & Oral Communication: Clearly articulates complex technical concepts to diverse audiences, including senior stakeholders

• Problem-Solving: Independently solves complex challenges using structured thinking, creativity and data-driven approaches.

• Cross-Functional Collaboration: Effectively partners with risk managers, technologists, and process owners to deliver integrated solutions.    

• Growth Mindset & Adaptability: Demonstrates continuous learning and applies emerging technologies, frameworks, and best practices to improve outcomes. 

• Attention to Detail: Writes clean, modular, and well-documented code; proactively identifies and resolves performance or reliability issues.

• Software Development Lifecycle: Applies SDLC principles across planning, design, code development, testing, and deployment

• Object-Oriented Programming: Proficient in Python (or other object-oriented programming language) and familiar with design patterns, testing frameworks, and performance optimization.

• Data Structures & Data Sourcing: Proficient in SQL and working multiple data sources and solving complex analytical problems

• Domain Knowledge: Demonstrates growing expertise in banking processes, risk domains, and regulatory requirements.

Shift:

1st shift (United States of America)

Hours Per Week:

40