Data Scientist, Liquidity Management

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

About the team

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.

What you’ll do

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.


  • Analyze trends in user level liquidity requirements and corporate cash
    movements and develop data-driven recommendations to inform business
  • Design and develop stress testing models over different time horizons
    and equip business stakeholders with insights into drivers of
    liquidity risk
  • Build automated controls and reporting on cash inflows and outflows in
    the Stripe ecosystem
  • Build scalable automation solutions utilizing SQL, Spark, and
    visualization tools
  • Develop statistical and machine learning models to forecast regional
    liquidity flows related to user balance and corporate cash activities
  • Work cross-functionally to unblock and fund new product capabilities
  • Collaborate with Engineering teams to ensure that our liquidity
    management systems are appropriate for the scale and complexity of our
  • Utilize optimization and simulation methods to develop strategies for
    reducing costs and increasing capital efficiency in managing volume
    flows in Stripe’s ecosystem
  • Shape and influence our data models and instrumentation to generate
    insights and develop new data products and models
  • Work with Product, Engineering and Finance teams to analyze new
    product opportunities and inform product design and financing

Who you are

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.

Minimum requirements

  • 5+ years of data science/quantitative modeling experience, including
    3+ years experience analyzing large data sets in the financial sector 
  • A PhD or MS in a quantitative field (e.g., Quantitative Finance,
    Economics, Mathematics, Sciences, Engineering, Operations Research,
  • Strong working knowledge of SQL, R, Python, Matlab, C++, or
  • Strong understanding of financial industry models and liquidity
    management systems
  • Expertise in statistics and experimental design

Preferred qualifications

  • Solid business acumen and experience in synthesizing complex analyses
    into interpretable content
  • Expertise in statistics and experimental design
  • A demonstrated ability to manage and deliver on multiple projects with
    a high attention to detail
  • Ability to communicate results clearly and a focus on driving impact
  • A builder's mindset with a willingness to question assumptions and
    conventional wisdom

Pay and benefits

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.

Office locations


Remote locations

Remote in United States


Data & Data Science

Job type

Full time

We look forward to hearing from you

At Stripe, we're looking for people with passion, grit, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and passion will stand out—and set you apart—especially if your career has taken some extraordinary twists and turns. At Stripe, we welcome diverse perspectives and people who think rigorously and aren't afraid to challenge assumptions. Join us.