Business Operations Lead 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

In Risk Business Operations at Square, you'll design, build, and operationalize systems and processes to root out high-risk activity across the Square platform of products. We are looking for a Technical Lead to join our Risk Business Operations team, which is directly responsible for the most complex process and analytical work.

The Business Operations Technical Lead will be responsible for leveraging advanced analytical skills and techniques to solve our most crucial business problems. You will serve as the primary interface between the Risk Data Science team and the rest of the Risk organization. You will ensure the machine learning models built by our Data Science team are deployed optimally across our diverse problem set. You will also work independently to identify and analyze major opportunity areas within Risk to optimize existing processes (payment coding, operational casing and automation, workforce scheduling, etc). The ideal candidate has experience with operational projects and possesses exceptional analytical, cross-functional, and communication skills. This role will require a bias toward taking action in a fast-paced environment.

You will:

  • Apply advanced analytical techniques to drive greater efficiency and effectiveness throughout the Risk organization

  • Work alongside Data Science to evaluate, monitor, and optimize the application of machine learning across various use cases (casing, alerting, automation, etc.)

  • Partner with Product, Engineering, and Operations teams to implement solutions and influence product roadmaps

  • Advise and mentor analysts throughout Risk with an eye towards upleveling our analytical sophistication

  • Communicate findings and changes through executive presentations for Squares leadership and board members

  • Drive innovative risk solutions through third party evaluation and integration with a focus on improving the seller experience and operational efficiency


You have:

  • 8+ years of relevant experience

  • A Masters in a related technical field

  • Strong analytical skills and problem solving ability

  • Advanced proficiency with scripting and data analysis programming languages (e.g. Python, R, etc.)

  • The ability to answer unstructured business questions and work independently to drive projects and analytical tasks to conclusion

  • A strong passion for Squares mission

Even better:

  • Experience using statistics and machine learning to solve complex business problems

  • Experience in Payments and/or Risk Management

  • Consulting / project management experience

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.