Senior Quant Finance Analyst: Balance Sheet & IRR Modeling

Bank of America; Charlotte (NC); Presencial; USD 110.000 - 160.000; Jornada completa

Descripción de la vacante

Bank of America seeks a seasoned quantitative analytics professional to drive market risk stress testing and model development. You will guide technical approaches, document methodologies, and collaborate with Technology and risk teams to deliver scalable analytics solutions.

The role emphasizes leadership in forecasting balance sheet metrics, NII, and risk indicators while leveraging automation and AI-enabled improvements to strengthen decision-making and resilience.

Formación

• Bachelor’s degree or higher in a quantitative field; equivalent experience considered.
• Advanced Excel skills for data analysis, modeling, and automation.
• Experience building data-driven analytics solutions, dashboards, or AI-enabled apps.

Responsabilidades

• Perform end-to-end market risk stress testing, including scenario design and results reporting.
• Lead planning of quantitative work priorities aligned with bank strategy.
• Provide oversight of model development and model risk management.
• Collaborate with stakeholders to translate requirements into scalable analytical solutions.

Conocimientos

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

Educación

Bachelor’s Degree in a quantitative discipline such as Engineering, Computer Science, Mathematics, Finance, or a related field

Master degree in related field or equivalent working experience

Herramientas

Python

C/C++

Excel

SQL

Descripción del empleo

Bank of America seeks a seasoned quantitative analytics professional to drive market risk stress testing and model development. You will guide technical approaches, document methodologies, and collaborate with Technology and risk teams to deliver scalable analytics solutions.

The role emphasizes leadership in forecasting balance sheet metrics, NII, and risk indicators while leveraging automation and AI-enabled improvements to strengthen decision-making and resilience.