Senior Data Scientist, Client Insights

Alloy
New York City$165k – $200kPosted 24 February 2026

Job Description

<h2>Alloy is where you belong!</h2> <p><span style="font-weight: 400;">Alloy helps solve the identity risk problem for companies that offer financial products by enabling them to outpace fraud and confidently serve more people around the world. Over 700 of the world’s largest financial institutions and fintechs turn to Alloy to take control of fraud, credit, and compliance risk, and grow with the clearest picture of their customers.</span></p> <p><span style="font-weight: 400;">Through our values: Be Bold, Get Scrappy, Collaborate, and Celebrate Our Differences, we are creating a workplace where you can grow, thrive, and belong. See how we’ve been continuously recognized and named one of <a class="c-link" href="https://www.inc.com/profile/alloy" target="_blank" data-stringify-link="https://www.inc.com/profile/alloy" data-sk="tooltip_parent">Inc. Magazine’s Best Workplaces</a>, <a class="c-link" href="https://www.forbes.com/companies/alloy/?list=americas-best-startup-employerssh=55c076453c61" target="_blank" data-stringify-link="https://www.forbes.com/companies/alloy/?list=americas-best-startup-employerssh=55c076453c61" data-sk="tooltip_parent">Forbes America’s Best Startup Employers</a>, <a class="c-link" href="https://www.americanbanker.com/list/best-places-to-work-in-fintech" target="_blank" data-stringify-link="https://www.americanbanker.com/list/best-places-to-work-in-fintech" data-sk="tooltip_parent">Best Fintech to Work for by American Banker</a>, year after year.</span></p> <p><span style="font-weight: 400;">Check out our investors and read more about us <a class="c-link" href="https://www.alloy.com/about" target="_blank" data-stringify-link="https://www.alloy.com/about" data-sk="tooltip_parent">here</a>.</span></p> <h2><strong>About the team</strong></h2> <p>The Client Insights team focuses on helping clients get the most value out of their data. We rely on analytics and machine learning to help clients improve their policies, better detect fraud, and stay up to date with industry best practices. The Client Insights team is made up of data scientists and full stack engineers who are working to deliver customer-facing tools that leverage client data to enhance the agent experience and quicker detect fraud. </p> <p>Alloy operates in a hybrid-work environment. We look to foster collaboration and community by having our local employees onsite twice a week, and remote employees onsite once a quarter.</p> <h2><strong>What you’ll be doing</strong></h2> <p>At Alloy, we aim to help our clients protect themselves from the rapidly increasing and ever-changing threat of fraud, and our Client Insights team is part of the core foundation supporting that effort. With thousands of attributes coming from our portfolio of data partners tied to hundreds of millions of entities across our customer base, we have a massive trove of data assets at our disposal that we’ve only just begun to take advantage of. As a Senior Data Scientist on the Client Insights team, you will be spearheading business-critical efforts. </p> <p>Your responsibilities will be to:</p> <ul> <li>Apply statistical and machine learning techniques to develop customer-facing models that directly influence fraud prevention outcomes.</li> <li>Work closely with application engineers to operationalize models you've built, ensuring they meet rigors for customer usage, including model performance tracking and observability, and have mechanisms for retraining.</li> <li>Take the initiative to innovate on our current models and apply new methodologies to new and existing problems and products.</li> <li>Write clear, thoughtful documentation that makes data pipelines, modeling decisions, and trade-offs easy to understand and maintain.</li> <li>Partner with engineering and product leads to provide guidance and leadership in roadmap planning.</li> <li>Anticipate future support and maintenance overhead for the data-driven features and models you've built.</li> <li>Leverage a deep, data- ... (truncated, view full listing at source)
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