Sr. Risk Analyst

Our mission is to make payments safer and easier for everyone. We started with a consumer product (privacy.com) that helps people spend more safely using virtual payment cards. Then we launched a simple, modern API to make our payment and card issuing infrastructure available to other startups, fintechs, and brands. Today, that infrastructure is known as Lithic, and it powers billions of dollars in payments for some of the most innovative companies in the world.

Lithic is a remote-first company and has a distributed team with an office in New York. That means that if you want to work remotely, you can! If you want to drop by the office or work fully in-person, you can do that, too! We’ve raised $100M+ from top-tier investors including Index, Bessemer, Stripes, and Tusk Venture Partners, with a recent Series C that will help us scale.

Lithic is hiring a data-driven Sr. Risk Analyst with strong problem solving, communication, and technical skills to deliver insights into the presence of current risks, and the likelihood and impact of those we have yet to encounter. This role will work closely with cross-functional teams across Risk, Analytics, Product, Engineering, and Compliance Operations to create, evaluate, and drive continuous improvement of risk policies, limits, rules, alerts, and dashboards. This role is critical to enabling Lithic and our customers to optimize our risk control and monitoring efforts.

Job responsibilities: 

• Deep dive into past and ongoing trends and provide data driven insights that identify and predict risky behavior that could result in outsized operational, financial, and reputational risks for Lithic and our customers
• Identify rule criteria, test and validate rule output, and communicate portfolio and rule performance in a way that influences Lithic’s risk strategy
• Collaborate with internal partners like Analytics, Product, Engineering, and Compliance Operations to tailor rule, alert, and dashboard creation and refinement techniques to various products, payment methods, and fraud typologies
• Create dashboards to monitor performance across relevant metrics and create alerts to highlight any anomalies or unusual trends
• Identify new approaches and data sources that could help us better understand various forms of risk, and partner with our operations, analytics, and product and engineering teams to implement them
• Build relationships with our customer-facing teams (and occasionally our customers themselves) to best inform our approach to managing risk in a way that enables prudent growth
• Support risk assessments, audits, and ad-hoc projects as assigned …