Associate - Quant

Responsibilities Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation. Develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques. Partner with the business, control functions, quants and technology teams on process automation and enhancement initiatives. Adopt modern analytics and technologies and leverage models and data to develop and deliver impactful solutions to Global Markets. Integrate data‑driven insights, as well as Generative AI, to help identify business opportunities, enhance client dialogue and support deal execution. Identify workflow and process optimization opportunities, onboard/build tools for efficiency improvements, and enhance reporting frameworks. Lead multiple projects with precision, ensuring timely execution and effective communication with stakeholders. Generate required documentation and testing to support model risk management ongoing model review and validation. Perform numerical analysis of existing models and implement and test performance enhancements. Conduct quantitative analysis of the current markets, industry trends and trading strategies. Remote work may be permitted within a commutable distance from the worksite. Required Skills & Experience Bachelor’s degree or equivalent in Financial Engineering, Mathematics, Statistics, Finance, or related field. 2 years of experience in a quantitative occupation or the job offered. 2 years experience collaborating across global markets and stakeholder groups, integrating inputs from risk, control, quantitative, and technology teams to deliver enterprise‑scale modelling solutions influencing risk‑weighted assets and supporting regulatory and strategic decision‑making. 2 years experience combining data engineering expertise in modern data architecture and leveraging emerging technologies—including Large Language Models and Robotic Process Automation—to shape analytics delivery. 2 years experience adhering to model development standards and best practices from conceptual design rooted in sound statistical methodologies, robust code implementation to deployment through optimized GPU usage to ensure stability and scalability. 2 years experience staying ahead of current industry trends including Generative AI and Cloud Computing, understanding how such trends impact supported businesses and fit into broader strategy. Compensation Pay range $175,000.00 - $175,000.00 annualized salary, offers to be determined based on experience, education and skill set. Discretionary incentive eligible. Benefits Benefits eligible. Industry‑leading benefits, paid time off and resources to support employees. #J-18808-Ljbffr Bank of America