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 is core to how we drive Responsible Growth. This includes our commitment to being a diverse and 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.

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.

Team / Overview:

The Quantitative Finance and Analytics (QFA) team in Bank of America’s Global Banking and Markets (GBAM) Stress Testing team combines financial expertise, impactful analytics, and programming skills to quantify, summarize, and report revenue, expense, and balance sheet impacts for various economic scenarios across GBAM.  This is an excellent opportunity for growth, as this team interacts across all of GBAM’s business units, including Lines of Business, Finance, Risk and other support partners. The Quantitative Finance Analyst will assist in forecast administration (methodology development, management, documentation, communication) and enhancements to forecasting platform and analytics.

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

Required Qualifications:

• Master’s degree in related field or equivalent work experience

• Minimum of 3 years of experience with technical or quantitative projects in the financial services industry

• Experience in programming in R or Python, with a special focus on time series modeling to support running econometric models

• Strong analytical, critical thinking and problem solving skills to lead or facilitate discussions across various levels of stakeholders/support partners to drive adoption of new technologies

• Ability to manage multiple projects at the same team and influence decision-making across an array of stakeholders

Desired Qualifications:

• Experience in programming in R or Python, with a special focus on time series modeling to support running econometric models

• Ability to develop scripts/code to automate reports and produce dynamic visual analytics

• Experience in performing CCAR Stress Testing and utilizing methodologies to project revenue and balance sheet through models/qualitative approaches

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