Quantitative Finance Analyst

Bank of America•Charlotte, NC

16h•Onsite

About The Position

At Bank of America, the Quantitative Finance Analyst conducts quantitative analytics and modeling projects for specific business units or risk types. The role develops models, analytical processes, and systems approaches; creates technical documentation; and works with Technology staff to design systems for running models. It requires broad knowledge of financial markets and products. This role supports Treasury’s Global Funding desk, focusing on trading and funding risk management and analytics. The team conducts research, analytics, and model implementation across multiple markets and currencies. The analyst interacts with internal and external constituents, including business lines, Treasury functions, Legal, control partners, regulators, market dealers, and investors. The work supports efficient, cost-effective enterprise funding strategies while managing related risks and ensuring transactions follow 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, an engineering major, or related work experience.
At least 2 years of experience in financial analysis, including bond mathematics, analytics, or cash flows, or trading experience involving traded, monitored, or reported trading strategies.
Programming experience in Python or another object-oriented programming language.
Experience with modeling, such as derivative pricing, statistical, or machine-learning models.
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 foreign-exchange or interest-rate 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 scenario results to understand key drivers.
Lead planning for quantitative work priorities in line with the bank’s overall strategy and prioritization.
Identify continuous improvements by reviewing approval decisions on model development or validation tasks, providing critical feedback on technical documentation, and effectively challenging model development and validation.
Maintain and oversee model development and model risk management in assigned focus areas to support business requirements and enterprise 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 foreign exchange and rates markets related to funding and asset and liability management.
Design, implement, and enhance quantitative models, including risk, statistical, and machine-learning models.
Optimize trading strategies and reduce overall risk.
Manage and maintain desk processes.