Quantitative Finance Analyst

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. Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits. We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve. Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Job Description:

his job is responsible for conducting quantitative analytics and modeling projects for specific business units or risk types. Key responsibilities include developing new models, analytic processes, or systems approaches, creating technical documentation for related activities, and working with Technology staff in the design of systems to run models developed. Job expectations include having a broad knowledge of financial markets and products.

This role supports Treasury’s Global Funding desk; specifically focused on the trading and funding risk management and analytics. The team has responsibility conducting research, analytics as well as model implementation across multiple markets and currencies. Employees interact daily with internal and external constituents including business lines, other Treasury functions such as Balance Sheet Management (BSM), Finance, Capital Management, Investor Relations and Global Liquidity Management, Legal, internal control partners, regulators, market dealers, and investors. GF strives to provide efficient funding strategies across the enterprise in the most cost-effective manner, while managing the risks associated with those strategies. Implementation of our funding and hedging strategies necessitates flawlessly executing transactions with internal and external counterparties in accordance with liquidity constraints, internal guidelines, legal limitations and regulatory directives.

This role requires critical thinking about the many challenges facing our company and industry with an emphasis on attention to detail, teamwork and strong communication skills.

Treasury provides an opportunity to gain broad knowledge about the company and its many businesses as well as the global markets in which we transact.

Your day to day experience will be varied and challenging, and will allow you to extend your skills within various disciplines.

Responsibilities:

• •Performs end-to-end market risk stress testing including scenario design, scenario implementation, results consolidation, internal and external reporting, and analyzes stress scenario results to better 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 approval decisions on relevant model development or model validation tasks, critical 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
• •Leads and provides methodological, analytical, and technical guidance to effectively challenge and influence the strategic direction and tactical approaches of development/validation projects and identify areas of potential risk
• •Works closely with model stakeholders and senior management with regard to communication of submission and validation outcomes
• •Performs statistical analysis on large datasets and interprets results using both qualitative and quantitative approaches
• •Conducting research and analytics on FX and Rates market related to funding as well as asset and liability management
• •Design, implementing and enhance quantitative models (both risk natural, statistic or machine learning models)
• •Optimize trading strategies and reduce overall risk
• •Desk process management and maintenance

Required Qualifications:

• •Advance degree in quantitative finance, or engineering major - or related work experience
• •2+ years of experience in financial analysis (bond math, analytics, cash flows) or trading (traded or monitored/reported on trading strategies) experience
• •Experience in programing (python or other OOO programing), modeling (derivative pricing, statistic or machine learning )
• •Understanding of financial markets, liquidity and risk
• •Critical thinking, strong attention to detail, analytical, investigative problem-solving skills

Desired Qualifications:

• •Advance programing skills (e.g., deep knowledge about Python or C/C++, familiar with data structure and standard algorithm, design pattern, etc.)
• •Familiar with Fx / IRD derivative
• •Solid foundation in statistics and machine learning
• •Bloomberg and other market sources

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