Program Manager

Job Description:

The Investment Risk Analytics Manager fulfills a critical role on Client’s Investment Risk team by contributing to the independent oversight of liquidity risk across equity, fixed income, and multi-asset investment strategies for a global asset manager with $1.83 trillion in assets under management as of April 20, 2026. Members of the Investment Risk Analytics team work closely with colleagues across the firm and must be able to successfully partner with portfolio managers, traders, portfolio modelers, members of legal and compliance teams, technology partners, as well as other members of Investment Risk.

The role we are seeking to fill will be a subject matter expert on liquidity risk, reporting to the team Director and partnering with other team members covering this area. The incumbent will need to gain an understanding of portfolio liquidity risk management best practices and global regulatory frameworks, in particular SEC Rule 22e-4. Key responsibilities include responding to client requests for liquidity risk information and supporting the administration of the firm’s Liquidity Risk Management Program as well as its Liquidity Risk Committee. In carrying out these responsibilities, the individual will engage with other T. Rowe Price associates around the globe, including colleagues in Europe and Asia.

Principal Responsibilities

• Assist with administration of the firm’s Liquidity Risk Management Program which applies to 40-Act U.S. mutual funds – including ensuring risk modeling and reporting are appropriate and that risk guidelines/parameters are accurately set for each investment strategy, investigating breaches of risk guidelines or regulatory risk limits, and preparing materials for board meetings.

• Partner with the Chair of the Liquidity Risk Committee to establish agendas, capture meeting notes, lead projects arising from committee meetings, and present on material liquidity risks across Client's investment strategies.

• Partner with client servicing teams to ensure prospects, clients, and consultants have access to required information on liquidity risk within investment strategies and the firm’s risk oversight function.

• Collaborate with Investment Risk’s dedicated technology team to deliver new and enhanced capabilities. Independently modernize business-owned capabilities using programming languages and data visualization tools; develop proof of concept solutions and business requirements to be shared with the technology team that implements target state solutions.

• Support the Director of Investment Risk Analytics and teammates by delivering ad-hoc and recurring reporting and analysis for internal and external stakeholders including PMs, clients, boards of directors, and risk committees. Assist in regular monitoring of risk levels. Collaborate on large development projects in response to emerging regulatory requirements and modernization efforts, as needed.

PERSONAL ATTRIBUTES / SKILLS / QUALIFICATIONS

Required: Investment Risk Analytics Manager

• Bachelor’s degree and at least 3 years of relevant experience

Required:

• Strong analytical and communication skills

• Ability to explain complex concepts to a non-technical audience in a clear manner

• Ability to work effectively in a fast-paced environment

• Ability to work independently and as a member of a team

• Strong operational mindset:

o Detail oriented

o Process driven

o Exceptional organizational skills

• Strong interpersonal skills that demonstrate the ability to handle complex interactions and reconcile differing views

• College degree and work experience in finance or analytics

• Self-driven, comfortable taking initiative

• Intellectually curious

Preferred:

• Graduate degree in a quantitative field such as quantitative finance, statistics, applied mathematics, or engineering

• Experience with liquidity risk analysis for investment portfolios

• Experience with scenario analysis, stress testing, and other risk quantification techniques

• Experience with SQL, Excel, and business intelligence tools, such as Power BI

• Professional accreditations such as CFA, FRM, PRM, or CAIA

• Experience with investment management applications (e.g., market data tools like Bloomberg or FactSet and risk modelling tools like MSCI RiskManager, MSCI BarraOne, or Bloomberg PORT, etc.)

• Experience with a statistical programming language (e.g., R, Python, MATLAB