We started with a simple idea—that everyone should be able to accept credit cards—and we’ve been rethinking buying and selling ever since.

For sellers, we’re creating one cohesive service to run your entire business, from a register in your pocket to analytics on your laptop. For buyers, we’re making it faster to order from the businesses you love and more fun to pay your friends back.

Buying and selling sound like simple things—and they should be. Somewhere along the way, they got complicated. We’re working hard to make commerce easy for everyone.

The Risk team is looking for a talented Senior Detection Specialist to develop and improve both fraud and servicing detection capabilities. You will be utilizing machine learning models and vast datasets to analyze and build fraud rules while closely working with risk engineering and data scientists to enhance overall risk detection systems. You will have a chance to make tremendous impact to manage and mitigate the risk involved in our diverse payment processing environment.

Responsibilities:

• Be one of the key drivers to build innovative risk detection systems

• Monitor numerous real-time queues and sort daily work assignments for junior staff

• Analyze high-risk case escalations from staff and monitor high risk business portfolio accounts

• Independently determine if transactions are fraudulent or risky and should be canceled and refunded, or are legitimate and should be processed and fulfilled on the largest dollar transactions

• Manage client appeals cases and work directly on consumer complaints and improving workflows to improve the customer experience

• Provide input and work collaboratively with business partners to build and enhance automated fraud and service risk engine rules

• Partner closely with analytics, engineering, and product teams

• Leverage third party risk management tools to expand fraud detection capabilities

• Develop metrics for keeping track of fraud rule performance as well as departmental KPIs

• Investigate accounts, users, and payments for new fraud activities

• As needed, represent the team on cross-functional projects

• Serve as a coach and mentor to junior level staff, sharing knowledge and best practices on a frequent and ongoing basis

• 3-5 years experience in risk detection and rule writing (preferably in the payments industry)

• Experience in analyzing data to identify emerging fraud trends and behaviors

• Experience in building rules and strategies to reduce fraud and losses

• Proficient in SQL queries and Microsoft pivot tables

• Knowledge of statistical analysis methodologies and tools is a plus

• Ability to multi-task in a fast paced, changing environment

• Collaborative with the ability to bring teams together and promote a solutions-based attitude

• Preferred Industry certifications: CFE, AAP

• BA or BS required; preferably in Criminology, Mathematics, or Accounting

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.