Quantitative Finance Analyst

Bank of America•Charlotte, NC

1d•Onsite

About The Position

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.

Requirements

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
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.

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