Capital & Liquidity Risk Lead

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team About Stripe and Stripe Treasury At its core, Stripe is a treasury company. We fulfill our mission of growing the online economy by providing financial infrastructure that enables businesses of all sizes to easily accept, manage, and disburse funds globally. In this way, our treasury is inextricably intertwined with our products. In order to continue to build novel and powerful products for our users, our own treasury management and systems must be excellent. Treasury’s Capital & Financial Risk Management team The Capital and Financial Risk Management (CFRM) team sets Stripe’s financial risk strategy and develops analytical tools to promote risk-aware allocation of our resources, ensuring that Stripe has sufficient capital and liquidity to support our users in all operating conditions. Within CFRM, Capital & Liquidity Risk Management (CLRM) works closely with product and other finance teams to define capital and liquidity requirements for new or prospective licenses, as well as to optimize capital and liquidity resources across our global subsidiaries. What you’ll do We're looking for a seasoned capital and liquidity professional to lead our global CLRM team where they will be responsible for delivering Stripe’s capital plan at both the consolidated and legal entity levels, communicating results to our global boards of directors, and leading interactions with regulatory and financial partners. Additionally, the lead will work closely with our data science and engineering teams to shape Stripe’s industry-leading capital and liquidity risk modeling and analytics. The ideal candidate will be knowledgeable about U.S. banking frameworks, show strong familiarity with financial risks and GAAP accounting, facility with financial and operational risk modeling techniques, and exhibit top-notch interpersonal skills to support strong collaboration across Stripe. The lead will steer a data-driven, risk-aware approach to capital and liquidity risk management, tailored for Stripe’s unique business model. If you are passionate about risk-centered financial analysis and are ready to innovate on Stripe’s next generation of capital and liquidity management in our fast-paced, dynamic business context, we want to hear from you! Responsibilities Assume primary responsibility for the capital and liquidity risk management program Become a spokesperson for Stripe’s credit profile, leading interactions with regulators, financial partners, and other external stakeholders interested in Stripe’s financial strength Partner with product, finance & strategy, and global partnerships teams to evaluate capital and liquidity implications of new businesses Collaborate with tax, accounting, and regulatory legal teams to optimize capital and liquidity efficiency of Stripe’s global operating entities Work with data science and engineering teams to develop tooling, data management, observability, and analytics to support these efforts Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements 10+ years of experience in capital and liquidity management in a regulated banking context, with direct ownership of key components of Basel III-driven capital planning Deep knowledge of U.S. banking regulations and their application A proven ability to integrate fundamental analysis with applied risk management foundations, either in an accounting or finance discipline Demonstrated familiarity with applied statistical techniques and financial modelling principles Experience collaborating with data science/engineering teams and facility with large data sets Strong written and verbal communications, and comfort leading high-profile presentations Track record of strong self-management and ability to handle both high-velocity, short-term deliverables while also progressing longer-term strategic objectives Demonstrated curiosity, resilience, problem-solving skills, and desire to contribute to a high-functioning team operating in a dynamic and fast-paced environment Preferred qualifications An enthusiastic “roll up your sleeves” and get things done mindset The ability to deal effectively with ambiguity and thrive in an unstructured, fast-moving environment An inclination to solve problems systematically via infrastructure, automation, and repeatable frameworks A builder's mindset with a willingness to question assumptions and conventional wisdom Experience with SQL/Python or a willingness to learn is a strong plus