Senior Quantitative Finance Analyst

Senior Quantitative Finance Analyst – Bank of America Join to apply for the Senior Quantitative Finance Analyst role at Bank of America. Company Overview Bank of America is guided by a common purpose to help make financial lives better through the power of every connection. We drive Responsible Growth and deliver for our clients, teammates, communities, and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth, with commitment to inclusiveness, talent development, wellness, performance recognition, and community impact. We are committed to an in‑office culture with specific requirements for office‑based attendance, balanced with flexibility based on role‑specific considerations. Team Overview Global Risk Analytics (GRA) and Enterprise Independent Testing (EIT) are sub‑lines within Global Risk Management (GRM). They develop coherent models, analytics tools, and tests for risk and capital measurement across Bank of America, partnering with business and enterprise functions to meet internal and regulatory needs. Global Financial Crimes Modeling and Analytics (GFCMA) focuses on enterprise‑wide financial crime model development, performance monitoring, and optimization. The team has nine sub‑teams: US AML Modeling and Analytics – development and maintenance of all US AML Feeder models. Non‑US AML Modeling & Analytics – development of Non‑US AML Feeder models. Case Generation Modeling & Analytics – manages the EP model that consolidates and risk‑ranks alerts. Economic Sanction and Screening Modeling & Analytics – detects and prohibits sanction‑listed transactions. Ongoing Monitoring Review, Management Information, Analysis and BTL/BTT Testing – substantiates model fitness and produces OMRs. Engineering, Data & Analytics – manages model development platforms and data frameworks. Research and Development – drives innovation, AI oversight, and vendor assessment. Program Management & Regulatory – oversees cross‑functional initiatives and project delivery. Business Management & Control – oversees strategy, governance, resource management, and COO function. Role Overview As a Senior Quantitative Finance Analyst on the GFCMA team, your main responsibilities will involve: Leading development of the Case Generation AML model. Supporting AML Modeling with ad‑hoc analytics, distribution analysis, and sensitivity analysis. Providing additional data analytics for drafting Business Requirement Documents. Leading analytical support for various AML interim compensating control initiatives. Conducting and supporting below‑threshold sampling. Main Responsibilities Independently conduct quantitative analytics and modeling projects. Develop new models, analytic processes, or system approaches. Create documentation and collaborate with technology staff on system design. Perform end‑to‑end market risk stress testing, scenario design, implementation, consolidation, reporting, and analysis. Plan quantitative work priorities in line with the bank’s strategy. Identify continuous improvements through reviews of approval decisions and technical documentation. Support model development and risk management in focus areas. Provide methodological, analytical, and technical guidance to influence decision‑making. Communicate submission and validation outcomes to stakeholders and senior management. Perform statistical analysis on large datasets and interpret results qualitatively and quantitatively. Skills Critical Thinking Quantitative Development Risk Analytics & Modeling Technical Documentation Adaptability Collaboration Problem Solving Risk Management Test Engineering Data Modeling and Trend Analysis Process Performance Measurement Research Written Communications Minimum Education and/or Experience Requirements Master’s degree in a quantitative discipline (Mathematics, Economics, Engineering, Finance, Physics) or related field, or equivalent work experience. 3+ years (2+ years with a PhD) of experience in model development, statistical work, data analytics, or quantitative research. Qualifications Ability to work in a large, complex organization and influence stakeholders. Self‑starter who initiates work independently. Strong team player adept at balancing individual and collaborative work. Excellent communication skills for technical and non‑technical audiences. Effective storyteller using data and clear recommendations. Ability to present findings to influence senior leaders. Comfortable working in a highly controlled and audited environment. Strong prioritization, time, and project management. Solid programming skills in R, Python, SAS, SQL, or other languages. Strong analytical and problem‑solving skills. Desired Skills and Experience Experience with complex data architecture, data science tools, and machine learning. Knowledge of predictive modeling, statistical sampling, optimization, AI techniques. Strong technical writing, communication, and presentation skills. Experience designing scalable machine learning and AI solutions. Demonstrated ability to drive action and sustain momentum. Leadership skills and influence among peers. Engineering complex multi‑faced processes across teams. Broad understanding of financial products. Experience extracting, analyzing, and merging data from disparate systems. Experience with LaTeX. Shift 1st shift (United States of America) Hours Per Week 40 hours Seniority Level Mid‑Senior level Employment Type Full‑time Job Function Finance and Sales Industry Banking #J-18808-Ljbffr