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Bank of America

Sr Quantitative Financial Analyst

Bank of America, Atlanta, Georgia, United States, 30383

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Overview

Bank of America Merrill Lynch has an opportunity for a Senior Quantitative Finance Analyst / Quantitative Finance Manager within our Global Risk Analytics (GRA) function. GRA develops models and analytical tools for effective risk and capital measurement, management and reporting across Bank of America. The team partners with Lines of Business and Enterprise functions to address internal and regulatory requirements such as quarterly Enterprise Stress Testing (EST), CCAR, and CECL, and conducts model development, implementation, data management, analysis, forecast administration, and performance monitoring. Overview of Global Risk Analytics Team

The Consumer Model Development & Operations (CMDO) team is part of Global Risk Analytics. It provides quantitative solutions to enable risk and capital management across the Retail and GWIM lines of business, delivering world-class quantitative solutions for Front Line Unit (FLU) model owners and stakeholders through a disciplined and iterative development process. Role & Responsibilities

Performs end-to-end market risk stress testing including scenario design, scenario implementation, results consolidation, internal and external reporting, and analyzes stress results to understand key drivers. Leads the planning related to setting quantitative work priorities in line with the bank’s overall strategy and prioritization. Identifies continuous improvements through reviews of model development/validation tasks, feedback on technical documentation, and effective challenges on model development/validation. Maintains and provides oversight of 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 influence strategic direction and tactical approaches of development/validation projects and identify areas of potential risk. Works closely with model stakeholders and senior management regarding submission and validation outcomes. Performs statistical analysis on large datasets and interprets results using qualitative and quantitative 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 Overview of Global Risk Analytics: Senior Roles

Bank of America Merrill Lynch has an opportunity for a Senior Quantitative Finance Analyst / Quantitative Finance Manager within the Global Risk Analytics (GRA) function. GRA develops models and analytics for risk and capital measurement, management and reporting across the bank, addressing regulatory requirements such as EST, CCAR, and CECL. GRA manages model development, data, execution, analysis, forecasting, and monitoring, with a focus on innovation and automation. CMDO Team Responsibilities

The CMDO team provides quantitative solutions for Retail and GWIM, emphasizing disciplined, iterative development to deliver for FLU model owners and stakeholders. Responsibilities include: Quantitative Modeling – Develop and maintain risk and capital models and model systems across Retail and GWIM, including valuation, default, EAD, LGD, delinquency, prepayment, balances, pricing, risk appetite, revenues and cash flows. Quantitative Development – Architect, implement, maintain, improve and integrate quantitative solutions on GRA platforms; contribute to GRA libraries and technical strategy. Risk & Capital Management Capabilities – Build quantitative solutions enabling risk and capital management with interaction across FLU model owners and stakeholders. Infrastructure – Advance the infrastructure to support GRA goals through code efficiencies and expanded capabilities. Documentation – Deliver clear, concise quantitative documentation for stakeholders and regulatory exams via automated, modularized documentation. Required Skills

Master’s or PhD in Mathematics, Economics, Statistics, or related field, with at least 5 years of relevant experience in statistics, data science, econometrics, and quantitative analysis. Experience with large data analysis, statistical model estimation, implementation, and testing Ability to influence stakeholders in a large organization Strong teamwork and communication skills for technical and non-technical audiences Programming proficiency in SQL, Python, R Analytical/problem-solving abilities and accountability for high-quality work Ability to prioritize, adapt, and meet deadlines Desired Skills

The ideal candidate will have knowledge of financial services, consumer credit and products, real estate data and market regulations; experience with HDFS, HIVE, Spark; familiarity with CCAR and CECL; use of CI/CD tools in model development; process improvement and automation; managerial experience; and data visualization in Tableau. Shift & Hours

Shift: 1st shift (United States of America) Hours per week: 40 Seniority level

Mid-Senior level Employment type

Full-time Job function

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