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. The Predict 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.
Requirements
- Solid understanding of core ML concepts such as supervised learning, feature engineering, and model evaluation.
- 3-5 years of relevant experience doing modeling and data science work, conducting advanced analytics and building/iterating on real-world production end-to-end models.
- Advanced proficiency in scripting languages like Python and querying languages like SQL
- Experience developing metrics and dashboards.
- Experience maintaining production machine learning models
- Experience with AWS SageMaker
- Dbt
- Git
- Looker
Responsibilities
- Contribute to the design, training, and evaluation of machine learning models that power Alloy’s fraud detection capabilities.
- Develop testing plans, metrics, performance reports, and translate findings into actionable recommendations.
- Support production ML workflows, including feature generation, model training, and monitoring, to ensure models remain accurate and reliable at scale.
- Document findings and communicate insights to internal teams, contributing to shared learning and continuous improvement.
- Maintain up-to-date model documentation and support Alloy’s model governance processes to ensure transparency and compliance.
- Collaborate with product managers, engineers, and data scientists to bring .
- Stay current with industry trends in applied ML and fraud detection, and contribute to Alloy’s mission of making financial services safer and more accessible.
Other
- 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.
- A team player. You believe that big things happen when the right people are working together.
- A fast learner.
- Humble. Mistakes happen and owning them helps us learn and move on quickly.
- Someone who embodies our shared Alloy values: be bold, get scrappy, collaborate, and celebrate our differences.
- You have experience in a highly analytical role in fast-paced environments
- Must be local to Greater New York City.
