Quantitative Finance Analyst

Bank of America•Charlotte, NC

2d•Onsite

About The Position

At Bank of America, the Quantitative Finance Analyst conducts quantitative analytics and complex modeling projects for specific business units or risk types. The role leads development of new models, analytical processes, or system approaches; creates technical documentation; and works with Technology staff to design systems that run developed models. It may involve influencing strategic direction and developing tactical plans. The position supports Treasury’s Global Funding desk, focusing on trading and funding risk management and analytics. The team researches, performs analytics, and implements models across multiple markets and currencies. The role interacts with internal and external stakeholders, including business lines, Treasury functions, Finance, Capital Management, Investor Relations, Global Liquidity Management, Legal, control partners, regulators, market dealers, and investors. The work supports cost-effective enterprise funding strategies while managing associated risks and executing transactions within liquidity constraints, internal guidelines, legal limitations, and regulatory directives. The role calls for critical thinking, attention to detail, teamwork, and strong communication. Treasury offers exposure to the company’s businesses and global markets, with varied and challenging work across disciplines.

Requirements

Advanced degree in quantitative finance or an engineering major, or related work experience.
At least 2 years of experience in financial analysis (including bond math, analytics, or cash flows) or trading, including trading, monitoring, or reporting on trading strategies.
Programming experience in Python or other object-oriented programming, and modeling experience in derivative pricing, statistics, or machine learning.
Understanding of financial markets, liquidity, and risk.
Critical thinking, strong attention to detail, analytical and investigative problem-solving skills.

Nice To Haves

Advanced programming skills, such as deep knowledge of Python or C/C++, and familiarity with data structures, standard algorithms, and design patterns.
Familiarity with FX or IRD derivatives.
A solid foundation in statistics and machine learning.
Experience with Bloomberg and other market sources.

Responsibilities

Perform end-to-end market risk stress testing, including scenario design and implementation, results consolidation, internal and external reporting, and analysis of key drivers.
Lead planning for quantitative work priorities in alignment with the bank’s overall strategy and prioritization.
Identify continuous improvements by reviewing approval decisions on model development or validation, providing critical feedback on technical documentation, and challenging model development or validation effectively.
Maintain and oversee model development and model risk management in assigned focus areas to support business requirements and the enterprise’s risk appetite.
Provide methodological, analytical, and technical guidance to challenge and influence the strategic direction and tactical approaches of development and validation projects, and identify potential risks.
Work with model stakeholders and senior management to communicate submission and validation outcomes.
Perform statistical analysis on large datasets and interpret results using qualitative and quantitative approaches.
Conduct research and analytics on FX and Rates markets related to funding and asset and liability management.
Design, implement, and enhance quantitative models, including risk, statistical, or machine-learning models.
Optimize trading strategies and reduce overall risk.
Manage and maintain desk processes.