Sr. Quantitative Finance Analyst

Bank of America•Jersey City, NJ

19d•Onsite

About The Position

Global Risk Analytics (GRA) is a sub-line of business within Global Risk Management (GRM), responsible for developing a consistent and coherent set of models, analytical tools, and tests for effective risk and capital measurement, management and reporting across Bank of America. GRA partners with the Lines of Business and Enterprise functions to ensure the capabilities it builds address both internal and regulatory requirements, and are responsive to the changing nature of portfolios, economic conditions, and emerging risks. In executing its activities, GRA drives innovation, process improvement and automation. Scenario and Enterprise Risk Analytics organization provides valuable insights into decision-making processes by decoding and quantifying risks to support our business strategy to achieve responsible and sustainable growth. Our vision is to serve as the go-to function to answer day-to-day risk management questions via state-of-the-art modeling and analytical tools. We want to add value and be relevant beyond regulatory and internal compliance. This role offers the opportunity to shape enterprise‑wide economic views at one of the world’s leading financial institutions, influence senior decision‑makers, and lead high‑impact work at the intersection of economics, risk management, and strategy. This is a critical leadership role within Global Risk Analytics, responsible for shaping the bank’s macroeconomic outlook, scenario design, and economic risk assessments used for regulatory submissions, capital planning, allowance methodologies, and strategic decision‑making. This role partners closely with senior executives, risk committees, and business leaders to translate complex economic dynamics into actionable insights for a large, diversified financial institution.

Requirements

Advanced degree (Master’s or PhD) in Economics, Finance, or a related quantitative field.
8+ years of experience in macroeconomic analysis, scenario design, or stress testing within a large financial institution, regulatory body, or economic research organization.
Expertise in regulatory stress testing and allowance frameworks (CCAR, CECL, IFRS‑9).
Strong understanding of global macroeconomics, financial markets, and bank balance sheet dynamics.
Proven ability to communicate complex economic concepts effectively to senior executives and non‑technical audiences.
Experience interfacing with regulators and responding to supervisory feedback.
Familiarity with model risk management frameworks and governance requirements.
Experience leveraging advanced analytics, automation, or AI‑enabled tools in economic or risk analysis.

Nice To Haves

Some knowledge of Tableau, SQL, Python.
Good understanding of current US regulatory environment

Responsibilities

Lead the design, review, and approval of enterprise‑wide macroeconomic projections and stress scenarios (1,800+ variables) supporting regulatory and internal use cases, including CCAR, CECL, IFRS‑9 and internal forecasting.
Ensure macroeconomic assumptions and scenario narratives are methodologically sound, well‑documented, and compliant with regulatory expectations and internal model risk standards.
Assess emerging macroeconomic, geopolitical, and financial market risks and identify implications for capital adequacy, credit risk, liquidity, and earnings.
Develop forward‑looking economic analyses that inform enterprise risk identification, corporate planning, and stress testing outcomes across lines of business.
Provide thought leadership on evolving economic conditions and risks to the baseline outlook through executive‑level presentations, written briefings, and recurring senior‑leadership forums.
Translate complex economic and financial concepts into clear, decision‑useful insights for senior management, risk committees, and frontline business partners.
Serve as a trusted advisor to executive leadership on macroeconomic trends and scenario‑driven impacts to the bank and the global economy.
Collaborate with a high‑performing team of economists and analysts, fostering strong analytical rigor, clear communication, and effective challenge.
Coordinate economic research and scenario development efforts across regions, portfolios, and risk disciplines.
Mentor junior staff and contribute to the bank’s broader economic research and talent‑development initiatives.
Advance the use of quantitative methods, data automation, and emerging technologies (including AI/ML where appropriate) to enhance scenario design, monitoring, and risk insights.
Continuously evaluate and improve economic modeling frameworks to reflect structural changes in the economy and financial markets.