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
We’re working on making the global financial system programmable. This
is one of the largest opportunities for impact in the history of
computing, on par with the rise of modern operating systems. Enabling
the realization of this opportunity and simultaneously ensuring we
optimally manage the liquidity flows from global payment processing and
corporate activities, the Liquidity Management team plays a critical
role in the company’s financial health.
We're looking for an experienced Data Scientist to partner with the
Liquidity Management team to drive the use of data and modeling to
ensure money is in the right place, at the right time and in the right
currency. You will help us to build predictive capabilities for user
balance and corporate cash flows, develop stress testing models for
quantifying liquidity risk and conduct analyses to inform our financial
resource needs and business decisions. In doing so, you will work
closely with the Liquidity Management, Engineering and Product teams to
unlock new product capabilities and implement strategies for reducing
costs and increasing capital efficiency.
The ideal candidate has experience in analytics and statistical modeling
for Liquidity Management, thinks creatively about measurement that leads
to actionable outcomes, and values rigor in data and modeling.
The annual US base salary range for this role is $168,600 - $228,229. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.
Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.
Remote in United States
Data & Data Science