Empowering fintech builders with seamless banking solutions
Unit is a leading Banking-as-a-Service platform headquartered in Kips Bay, New York, empowering fintech builders to integrate financial services seamlessly. With a valuation exceeding $1 billion, Unit has raised $169.6 million in funding and serves a growing customer base that includes companies lik...
Unit offers startup equity and a 401(k) plan, a flexible vacation policy allowing employees to take the time off they need, and an unlimited book budg...
Unit's culture is centered around simplifying financial services for businesses, promoting a flexible, white-label solution that allows easy integrati...
Unit • Tel Aviv Office
Unit is a market leader in embedded finance. We offer ready-to-launch financial services - like banking and capital - and serve millions of end-users across ~100 customers, including Wix, Bill.com, Honeybook, Relay, and more.
We’re repeat founders with technical backgrounds, working hard to build a successful company that we’re proud to work at. Our product moves $40b+ annually and processes 12m+ API calls daily. We’ve raised $160m+ from top investors including Insight, Accel, and 60+ angels.
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.
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, 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.
#LI-Hybrid
Working at Unit means joining a global team on a mission to create a more equitable financial ecosystem. We’re a fast-growing team of individuals who are passionate about their work, see the big picture and always seek to empower our clients and their end-customers.
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