Jobs

Jobs

Data Scientist, Credit Risk

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

We’re looking for an experienced data scientist to partner with the Credit Risk team to drive the use of data and models to measure and limit our credit risk, ensure high-quality decisions, and point towards future opportunities. If you are data curious, excited about modeling and deriving insights from  data, and motivated by having an impact on the business, we want to hear from you.

What you'll do

  • Act as an embedded partner to the Risk team, identifying and solving complex and ambiguous questions with data and modeling 
  • Plan and execute with partner teams on modeling initiatives to increase accuracy, automation, and explainability
  • Build statistical and machine learning models to measure all aspects of risk
  • Create metrics and dashboards for key performance indicators and deep dive to understand the drivers of those indicators
  • Effectively communicate the outcomes of your analysis to key stakeholders

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:

  • 3+ years experience analyzing large data sets to solve problems and drive impact
  • A PhD or MS in a quantitative field (e.g., Operations Research, Economics, Statistics, Sciences, Engineering)
  • Expert knowledge of a scientific computing language (Python or R) and SQL
  • Strong knowledge and hands-on experience with machine learning, statistics, and experimentation
  • Experience in building scalable ETL solutions utilizing SQL, Presto, Spark and other tools
  • Experience in working with multiple cross-functional teams to deliver results
  • The ability to communicate results clearly

 

Hybrid work at Stripe

Our Chicago, Dublin, and Singapore teams spend at least 50% of their time in their local offices. We believe that more in-person interactions will contribute to better results for our employees and Stripe. Increased office time allows for improved collaboration, efficiency, and informal learning opportunities, fostering a stronger community and building our culture. We will apply the insights gained from these initial three locations to continue refining our hybrid approach.

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

Chicago, or Toronto

Remote locations

Remote in United States

Team

Data & Data Science

Job type

Full time

Apply for this role 

Please find our California applicant personal information notice here.

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.