Quantitative Finance Analyst

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 #J-18808-Ljbffr Bank of America