Bank Of America Quantitative Finance Analyst 

United States, North Carolina, Charlotte 

600239925

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

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

DesiredQualifications:

• 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