Company Description

Square builds common business tools in unconventional ways so more people can start, run, and grow their businesses. When Square started, it was difficult and expensive (or just plain impossible) for some businesses to take credit cards. Square made credit card payments possible for all by turning a mobile phone into a credit card reader. Since then Square has been building an entire business toolkit of both hardware and software products including Square Capital, Square Terminal, Square Payroll, and more. We’re working to find new and better ways to help businesses succeed on their own terms—and we’re looking for people like you to help shape tomorrow at Square.

Job Description

The Financial Crimes Technology team at Square finds and reports financial crimes activity across Square products including Cash App and Seller tools. We work globally with partners in business, engineering, counsel and product to guarantee we are providing a safe user experience for our customers while minimizing or eliminating bad activity on our platform.

We are leveraging Machine Learning as an integral part of our toolkit to fulfil our mission. At Square scale, we are monitoring hundreds of billions of dollars in transactions across traditional payment and blockchain networks. We uncover and put an end to money laundering, fraud, and illegal activities before they impact our users. Additionally, we improve workflow and case tools, adding features that empower agent productivity and automate the high volume of monitoring.

You will:

• Build classification and anomaly detection models to detect criminal & unusual activity across Cash App’s p2p, banking, debit card, equities and crypto products
• Develop customer risk rating models that facilitate KYC at onboarding and ongoing basis for Square Sellers
• Leverage innovative features and state of the art algorithms to drive down false positives to improve agent productivity across Transaction Monitoring, Equities and Bitcoin Queues
• Join a new,  small, and growing team and have a significant impact on influencing team culture and direction
• Use Python (numpy, pandas, sklearn, xgboost, Pytorch, TensorFlow, keras, plotnine etc.), MySQL, Snowflake, GCP, AWS for developing models

Qualifications

• 4+ years of Machine Learning and/or Deep Learning experience
• A graduate degree in computer science, data science, operations research, applied math, stats, physics, or a related technical field
• Experience with advanced techniques like word embeddings, sequence modeling, and graph convolutional networks is a big plus
• Experience working with product, business, and engineering to prioritize, scope, design, and deploy ML models
• Be able to communicate and influence business stakeholders
• Have a curious, passionate, growth-oriented mindset

Additional Information

At Square, we value diversity and always treat all employees and job applicants based on merit, qualifications, competence, and talent. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of 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)squareup.com. 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.

Perks

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

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