Director – Quantitative Strategies (Equities Prime Financing)

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 is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.

Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
 

Job Description:
This job is responsible for directing a team of finance managers to develop or validate quantitative analytics and models for specific business units or risk types. Job expectations include directing activity in their region to support business units and acting as a subject matter expert on specified quantitative modeling techniques, as well as serving as the first or second line of defense overseeing model performance, model risk, and model governance on critical model portfolios.

We are seeking a senior leader to oversee the New York-based Quantitative Strategies team within Bank of America’s Equities Prime Financing business. This team is responsible for developing analytics and models that support balance sheet management, optimize financial assets, and deliver client-focused solutions. The successful candidate will lead a team within the Equities Quantitative Strategies and Data group, driving innovation and collaboration across trading, sales, and technology.

Responsibilities:

• Directs a quantitative team with model coverage of specified focus areas and oversees stakeholder engagement, including team effort in preparation for audit and regulatory exams

• Sets 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, while providing oversight to managers on reviews

• 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

• Coordinates team projects, while managing and providing guidance to senior level staff on areas of expertise

• Provide strategic leadership and direction for the New York Quant team, ensuring alignment with global business objectives.

• Oversee the development and implementation of quantitative models and analytics used for balance sheet management and client servicing.

• Partner with trading and sales stakeholders to deliver actionable insights and solutions that enhance business performance.

• Collaborate with technology teams to design and implement scalable tools and infrastructure for global use.

• Manage team performance, career development, and resource allocation for a group of quantitative professionals.

• Ensure robust governance, model validation, and compliance with internal and regulatory standards.

• Contribute to global coordination efforts within the Equities Quantitative Strategies and Data group.

Managerial Responsibilities:
This position may also have responsibilities for managing associates. At Bank of America, all managers at this level demonstrate the following responsibilities, in addition to those specific to the role, listed above.

• Opportunity & Inclusion Champion: Breaks down barriers to create a more inclusive environment that supports company Great Place to Work goals.

• Manager of Process & Data: Challenges end-to-end process efficiency and effectiveness, champion data driven decision-making and removes obstacles to optimize operations.

• Enterprise Advocate & Communicator: Contributes to enterprise strategy and influence messaging to connect team contributions to business purpose, results, and success.

• Risk Manager: Inspects and challenges risk controls, governance and culture to ensure the timely identification, escalation, debate and remediation of risk across the organization.

• People Manager & Coach: Coaches to sustain and elevates organizational performance while differentiating to ensure pay for performance.

• Financial Steward: Efficiently allocates and manages resources across the organization to drive short and long term profitability.

• Enterprise Talent Leader: Inspects and manages the health of the bench to ensure succession for the organization, while supporting enterprise talent needs.

• Driver of Business Outcomes: Mobilizes organizational resources to deliver the full range of the bank’s capabilities to meet client needs and to gain competitive advantage.

Skills:

• Extensive experience in quantitative finance, ideally within equities or prime financing (Physical/Synthetic PB, Stock Loan).

• Proven track record of working in quant/strat teams with hands-on experience in analytics, modelling, and large-scale data handling.

• Strong managerial experience, including leading high-performing teams in a complex, global environment.

• Deep understanding of financial markets, risk management, and balance sheet optimization.

• Ability to engage effectively with senior stakeholders across trading, sales, and technology.

• Excellent communication and leadership skills, with a collaborative and solution-oriented approach.

• Advanced degree in a quantitative discipline (e.g., Mathematics, Physics, Engineering, Computer Science, Finance) or relevant work experience

• Familiarity with programming languages and data analytics tools (Python, C++).

• Experience in building scalable quantitative solutions in partnership with technology teams.

• Global perspective and ability to navigate cross-regional priorities.

Shift:

Hours Per Week: