Analytical and Problem solving, C++, Data science techniques, Data Visualization, Effective communication skills, ETL frameworks, Large data sets, Machine learning techniques, Presto, Python Programming, R Programming, SPARK Programming, SQL
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.
Responsibilities
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
Preferred qualifications
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.
Stripe, Inc. is an Irish-American financial services and software as a service (SaaS) company dual-headquartered in San Francisco, United States and Dublin, Ireland. The company primarily offers payment processing software and application programming interfaces (APIs) for e-commerce websites and mobile applications.
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