Fraud & Risk ML Scientist – Real-Time Modeling

Mercury; New York (NY); On-site; USD 167,000 - 251,000; Full time

Job summary

Mercury is hiring a Machine Learning-focused Data Scientist to support the Risk team. You will build, validate, and deploy real-time ML models to detect fraud and monitor risk across data pipelines.

You’ll work with product, engineering, and risk to strengthen defenses while enabling a smooth banking experience. Ideal candidates have 5+ years in data analysis with 3+ years in ML, strong Python/SQL skills, and experience deploying models in production, plus familiarity with risk and GenAI

Qualifications

• 5+ years of experience working with and analyzing large datasets to solve problems and drive impact, with 3+ years of ML experience.
• Proficiency in SQL and experience using it to understand and manage imperfect data.
• Proficiency in Python and experience with statistical modeling and machine learning.
• Experience deploying and monitoring machine learning models in production.

Responsibilities

• Build, validate, and deploy machine learning models to identify and prevent fraud in real time
• Support the reproducibility and robustness of said models through documentation, testing, and monitoring
• Ensure data quality and reliability across pipelines and tools
• Collaborate with Risk Strategy to ideate on model inputs and applications and with Engineering to optimize deployment and observability

Skills

ML experience

SQL

Python

Production ML

Risk domain

LLMs

Tools

dbt

Model governance

Job description

Mercury is hiring a Machine Learning-focused Data Scientist to support the Risk team. You will build, validate, and deploy real-time ML models to detect fraud and monitor risk across data pipelines.

You’ll work with product, engineering, and risk to strengthen defenses while enabling a smooth banking experience. Ideal candidates have 5+ years in data analysis with 3+ years in ML, strong Python/SQL skills, and experience deploying models in production, plus familiarity with risk and GenAI