Senior Economist

It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay / Clearpay, to provide a better way to send, spend, invest, borrow and save to our 50 million monthly active customers. We want to redefine the world’s relationship with money to make it more relatable, instantly available, and universally accessible.

Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We’ve been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy.

The Role

The Cash App Quantitative Finance Team is an intellectually diverse team of machine learning modelers, statisticians, economists, data scientists, former strategy consultants, and data engineers focused on applying graph analytics, statistics, econometrics, and machine learning algorithms to solve business problems for executives within Cash App and the broader Block organization.

As a Machine Learning Engineer within our team, you will work with colleagues across Cash and Block to deliver statistical models to forecast the business. You will use state-of-the-art machine learning and statistical methods to model time series that are key to the success of our business. In addition to developing these models, you will have the opportunity to explore the applications of novel machine learning and statistical tools within our business (e.g. generative AI, nonlinear time series models, Bayesian methods, etc.), work on complex graph / network problems, and have exposure to the highest levels of leadership across Block.

Because this is such a unique role, we are looking for someone who can own the end-to-end model development process (requirements, data, development, implementation) while understanding the business context, and who has the ability to communicate to senior leaders.

You Have

• An advanced degree (M.S., PhD.), preferably in Economics, Physics, Mathematics, Computer Science, or a related technical field.
• PhD plus 2 years (or Master plus 4 years) industry working experience in developing machine learning / statistical models to solve real-world problems (e.g. classification, NLP, regression, panel models, time series, etc.).
• Outstanding written and oral communication skills to present and explain the functioning of the models to exercise influence amongst Cash and Block Executives.
• Experience building time series models that combine data analysis with business intuition.
• A strong track record of performing machine learning model development using Python (numpy, pandas, statsmodels, scikit-learn, etc.) and SQL / NoSQL interaction patterns.
• Familiarity with Linux / OS X command line, version control software (git), and general software development principles with a machine learning software development life-cycle orientation.

Nice to Have

We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class.

We believe in being fair and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible.

Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I D page.

Block will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.

Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

Zone A :

163,600 — $245,400 USD

Zone B :

155,400 — $233,200 USD

Zone C :

147,300 — $220,900 USD

Zone D :

139,000 — $208,600 USD

Every benefit we offer is designed with one goal : empowering you to do the best work of your career while building the life you want.

Check out benefits at Block.

Block, Inc. (NYSE : SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, and TIDAL, we build tools to help more people access the economy.

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Salary : $139,000 - $208,600