Senior Data Scientist

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 800 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.

About The Team

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. 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 data sources to build a comprehensive understanding of risk.

Alloy operates in a hybrid work environment. We look to foster collaboration and community by having our local employees onsite three days a week.

What You’ll Be Doing

• 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.

Who We’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.
• A fast learner.
• Humble. Mistakes happen and owning them helps us learn and move on quickly.

You Have

• 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 findings effectively to technical and non‑technical members.
• 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.

Nice to Haves

• 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 and Perks

• 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.
• Eligible new parents receive 16 weeks of paid parental leave.
• Home office stipend for new employees.
• Annual Learning & Development stipend.
• Well‑being benefits including 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; on Monday/Friday most employees work from home.

This position has a salary range of $212,000 to $251,000.

Alloy is committed to fair and equitable compensation practices. The position is also eligible for equity awards in the form of stock options and a competitive total benefits package.

Alloy is proud to be an equal‑opportunity workplace and employer. We’re committed to equal opportunity regardless of race, color, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status. We are committed to an inclusive interview experience and provide reasonable accommodations to applicants with visible and invisible disabilities. We encourage applicants to share needed accommodations with our recruiting team.