Senior Compliance Data Analyst

  • San Francisco, CA
  • Full-time

Company Description

We believe the economy is better when everyone has access. When everyone has room to grow. No one should be left out because the cost is too great or the technology too complex. We started with a little white credit card reader but haven’t stopped there. We’re empowering the independent electrician to send invoices, setting up the favorite food truck with a delivery option, helping the ice cream shop pay its employees, and giving the burgeoning coffee chain capital for a second, third, and fourth location. We’re here to help sellers of all sizes start, run, and grow their business—and helping them grow their business is good business for everyone.

Job Description

This role can be located in our SF, NY, or St. Louis office.

The Compliance team at Square is looking for an extraordinary individual to join our team as a Senior Data Analyst. As part of the Compliance Product and Strategy Team, you will be responsible for driving the analysis for key decisions and insight across the compliance organization. You will build and automate actionable reporting for key Compliance processes, improving Compliance infrastructure and platforms.

You will:

  • Build and automate actionable metrics reporting for key Compliance processes

  • Work with engineering teams to understand the intricacies of legacy data

  • Facilitate internal Compliance data requests (build transaction monitoring signals, assure quality and data integrity for internal and external audits, provide analysis on operational metrics, etc.)

  • Understand and maintain current infrastructure and seek improvements, where necessary

  • Assess and assist in planning short and long-term goals, policies, and initiatives for the Compliance Analytics Team


You have:

  • At least 4 years of experience in an analytics role or equivalent in compliance space

  • Extensive experience with SQL (experience with Vertica a plus)

  • Experience with Transaction Monitoring AML typologies and rules

  • Experience with Risk Coverage Assessment, Model Validation and Tuning

  • B.A. or B.S. in quantitative field (i.e. Mathematics, Statistics, Economics, Computer Science, Engineering Sciences)

  • Excellent oral and written communication skills

  • Experience working cross-functionally across all areas in a company

  • Comfortable working with large datasets

  • Exceptional problem-solving skills


  • Experience in Looker, Airflow, Python, Git

  • Experience with Sanctions screening tools a plus

  • Consumer Financial Product/Payments/Fintech Experience a plus

  • Machine learning, statistical modeling or data mining expertise

Additional Information

At Square, our purpose is to empower – within and outside of our walls. In order to build the best tools for the businesses and customers we support all over the world, we have to start at home with a workforce as diverse and empowered as our sellers. To this end, we take great care to evaluate all employees and job applicants equally, based on merit, competence, and qualifications. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage candidates from all backgrounds to apply and always consider qualified applicants with arrest and conviction records, in accordance with the San Francisco Fair Chance Ordinance. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to assistance(at) We will treat your request as confidentially as possible. In your email, please include your name and preferred method of contact, and we will respond as soon as possible. 


At Square, we want you to be well and thrive. Our global benefits package includes:

  • Healthcare coverage
  • Retirement Plans
  • Employee Stock Purchase Program
  • Meal reimbursements
  • Wellness perks
  • Paid parental leave
  • Flexible time off
  • Learning and Development resources