Senior Risk & Fraud Data Analyst

About Unit

Unit is building the platform to power the next generation of financial services. Our mission is to help companies expand financial access for all. Our simple and powerful banking-as-a-service API helps companies launch bank accounts, cards, payments, and lending in weeks - not years.

Unit was founded by a team with deep fintech and financial services experience and the first banking-as-a-service platform to reach unicorn status. We have raised over $169 million to date from top investors including Insight Partners, Accel, Better Tomorrow Ventures, Aleph, and Flourish and serve 140+ customers including AngelList, Honeybook, Roofstock, and many more.

THE ROLE

We are looking for a Senior Risk & Fraud Data Analyst to play a pivotal role in safeguarding our platform from fraudulent activities. This role focuses on leveraging advanced analytics and automation to build and optimize fraud detection strategies and support our clients and banking partners in fraud mitigation.

As a key member of our team, you’ll have the opportunity to work at the intersection of data-driven research, risk management, business strategy and client relations, contributing to the safety and scalability of our platform.

Key Responsibilities

• Analyze transaction data and customer behavior to identify patterns indicative of fraudulent activity.
• Develop and deploy data-driven fraud prevention rules, logic, and models to mitigate risk effectively.
• Continuously monitor and refine existing fraud detection strategies based on emerging trends and feedback.
• Design and implement automation solutions to enhance fraud monitoring processes and support scalability.
• Communicate with clients and partner banks to align on fraud prevention strategies and share actionable insights.
• Work with product and dev and other teams in Unit to lead and deliver strategic and complex projects in the Fraud prevention domain.
  
  

• At least 5 years of experience in data analysis, preferably in the risk or fraud domain within the fintech industry.
• High proficiency in SQL – Must. Experienced in writing complex queries and analyzing large datasets.
• High proficiency in Python for data analysis – Must. Skilled in using Python libraries such as Pandas for data analysis and research, automation, and developing fraud detection logic.
• High proficiency in English – Must. Strong written and verbal communication skills to effectively interact with clients, partners, and internal teams.
• Advantage: Understanding of the US financial systems – Familiarity with banking, payments, or e-commerce systems and processes.
• Advantage: Experience with financial fraud prevention strategies.
• Advantage: Ability to work independently, take initiative, and drive projects from ideation to completion.