Senior Data Scientist

About the role

Alloy helps solve the identity risk problem for financial institutions and fintechs by enabling them to outpace fraud and confidently serve more people worldwide. The Predict team builds Alloy's real-time machine learning systems at scale, focusing on fraud detection.

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.
• 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.

Requirements

• 8+ years as an individual contributor in Applied Fraud Research, Data Science, or Machine Learning with a proven track record in a “Solutions” or client-facing capacity.
• Expertise in working with highly imbalanced datasets and building production-grade Machine Learning models with specific interest in tree-based models.
• Advanced proficiency in scripting languages like Python and querying languages like SQL.
• Proven ability to wrangle and think thoughtfully about data at scale (processing billions of records).
• Experience developing metrics and dashboards.
• Able to communicate their findings effectively to technical and nontechnical members.

Qualifications

• Natural curiosity with a knack for asking tough questions.
• Solid understanding of core ML concepts such as supervised learning, feature engineering, and model evaluation.
• Team player, able to build strong cross-functional relationships within Alloy.
• Fast learner, humble, and willing to own mistakes to learn and move on quickly.
• Believes in the power of diversity and inclusion, embodying Alloy’s shared values: be bold, go fast, collaborate, and celebrate our differences.

Skills

• Experience in a highly analytical role in fast-paced environments.
• Previous experience in financial fraud detection.
• Advanced Degree (Masters or PhD) in a quantitative field.
• Experience managing the end-to-end lifecycle of a technical pilot or Proof of Concept.
• Experience with BI tools like Looker.
• Experience with modeling on graph structures.

Benefits

• Unlimited PTO and flexible work policy.
• Employee stock options.
• Medical, dental, vision plans with HSA (monthly employer contribution) and FSA options.
• 401k with 100% match up to 4% of annual employee compensation.
• Home office stipend for new employees.
• Annual Learning & Development annual stipend.
• Well-being benefits include access to ClassPass, OneMedical, UrbanSitter, and Spring Health.
• Hybrid work environment: employees are expected to work Tuesdays through Thursdays from our HQ in Union Square, Manhattan. Tasty lunches catered from a variety of local restaurants and frequent employee-organized cultural events contribute to our positive office energy.