Quantitative Finance Analyst

Bank of America; Atlanta (GA); On-site; USD 70,000 - 90,000; Full time

Job summary

A leading financial institution in Atlanta seeks a Quantitative Finance Analyst to conduct analytics and modeling projects. This entry-level position requires a Master’s degree in a relevant field. Responsibilities include statistical analysis, automation with Python, and collaboration with various teams. The role supports market risk activities and model validation in a full-time capacity.

Responsibilities

• Perform end-to-end market risk stress testing.
• Support planning related to setting quantitative work priorities.
• Identify improvements through reviews of model development.
• Support model development and model risk management.
• Provide guidance on strategic direction and tactical approaches.
• Communicate validation outcomes with stakeholders.
• Perform statistical analysis on large datasets.
• Write Python and/or PySpark code for automation.
• Collaborate with application users and model developers.
• Integrate Python solutions into existing platforms.
• Write SQL queries to validate results.

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

Education

Master’s degree in a related field

Job description

Join to apply for the Quantitative Finance Analyst role at Bank of America.

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. This role is responsible for conducting quantitative analytics and modeling projects for specific business units or risk types. You will develop new models, analytic processes, or systems approaches, create technical documentation, and work with Technology staff in the design of systems to run models.

Responsibilities

• Performs end‑to‑end market risk stress testing including scenario design, implementation, results consolidation, internal and external reporting, and analysis of 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, providing critical feedback on technical documentation, and challenging model development/validation.
• Supports model development and model risk management in respective focus areas to support business requirements and the enterprise’s risk appetite.
• Provides methodological, analytical, and technical guidance to challenge and influence the strategic direction and tactical approaches of development/validation projects.
• Communicates submission and validation outcomes with model stakeholders and senior management.
• Performs statistical analysis on large datasets and interprets results using qualitative and quantitative approaches.
• Writes Python and/or PySpark code to automate production processes for risk and loss measurement statistical models.
• Collaborates with application users, model developers, technology and other business partners to understand and document production process requirements.
• Integrates Python solutions into existing in‑house generic platform and ensures compliance with functional, non‑functional, and regulatory requirements.
• Writes complex SQL queries to validate production results and produce user‑expected reports.
• Collaborates with GRA and Technology teams, leveraging software engineering and model development skills in a fast‑paced environment.

Minimum Education Requirement

Master’s degree in a related field or equivalent work experience.

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

Seniority Level

Entry level

Employment Type

Full-time

Job Function

Finance and Sales

Industries

Banking