Alloy is the global AI-powered risk management platform that accelerates onboarding, stops financial crime, and simplifies compliance. Backed by Lightspeed and Felicis.
About the role
Through our values: Be Bold, Go Fast, 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 Inc. Magazine’s Best Workplaces , Forbes America’s Best Startup Employers , Best Fintech to Work for by American Banker , year after year.
What they're looking for
- Always building with end-solution in mind
- Able to communicate complicated concepts to a non-technical audience without diluting the complexity of the work
- Able to build strong cross-functional relationships within Alloy
- Naturally curious with a knack for asking tough questions
- Solid understanding of core ML concepts such as supervised learning, feature engineering, and model evaluation
- A team player. You believe that big things happen when the right people are working together
More about this role
Alloy is the AI-powered identity and fraud prevention platform that accelerates onboarding, stops fraud, and scales compliance across the customer lifecycle so financial organizations can grow without limits. More than 900 of the world's leading financial institutions and fintechs trust Alloy for smarter risk management that drives growth.
Through our values: Be Bold, Go Fast, 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 Inc. Magazine’s Best Workplaces , Forbes America’s Best Startup Employers , Best Fintech to Work for by American Banker , year after year.
Check out our investors and read more about us here .
The Signals team builds Alloy’s real-time machine learning systems at scale. Our immediate focus is on fraud detection, where we believe machine learning can simplify and accelerate decision-making in ways traditional rule-based systems can’t. Managing rules and policies to detect fraud is complex and constantly evolving; we use ML to make it smarter, faster, and more adaptive. Our approach is identity-centric, combining signals from a wide range of...
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