This role pays more than
93%
of similar roles. Most pay
$126,800–$197,820
— the shaded band above.
At the midpoint, this role pays about
$232k
versus about
$162k
for comparable roles.
Based on 240 similar postings.
Employer
About Alloy
Alloy is an identity decisioning platform that provides fraud prevention, compliance, and credit underwriting solutions for banks, credit unions, and fintechs to automate identity verification decisions. Industry: Financial Technology & Identity Verification
Alloy currently has
8 open roles
on FindRole.
Listed pay typically runs
$152,500–$177,500
across 8 roles with salary data.
Join Alloy’s Predict team as an experienced Machine Learning Engineer or Data Scientist with a focus on fraud detection. In this role, you will design, train, and evaluate machine learning models that enhance our real-time fraud detection systems at scale. Your day-to-day responsibilities include developing testing plans, creating performance reports, and supporting production workflows to ensure model accuracy and reliability. You will also document findings, communicate insights to internal teams, and maintain compliance with model governance processes. Ideal candidates have over 8 years of experience in applied fraud research or data science, expertise in handling imbalanced datasets, and proficiency in Python and SQL. Experience with large-scale data processing and BI tools like Looker is a plus. This role requires strong communication skills to translate complex concepts to non-technical stakeholders and the ability to build cross-functional relationships within Alloy.