Latest AI JobsBrowse Jobs
Mercury logo

Senior Data Scientist - Risk ML

MercurySan Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United StatesData
Apply on company site
Salary
Not listed
Job type
Full-time
Work mode
Remote
Posted
2 Sept 2026
Status
Open · checked 7d ago

About this role

Mercury is seeking a Senior Data Scientist specializing in Risk Machine Learning to build and deploy models that protect customers from financial crime and fraud. This remote position within the United States or Canada suits an experienced professional with a strong background in data science, risk mitigation, and production-level machine learning.

Role Overview

Mercury is hiring a Machine Learning-focused Data Scientist to join the Risk team. The chosen candidate will detect, monitor, and mitigate first- and third-party fraud while understanding customer behavior to prevent financial crime. This role involves working collaboratively across engineering, product, and risk strategy to fortify fraud defenses while maintaining a seamless banking experience for users.

Key Responsibilities

Build, validate, and deploy machine learning models designed to spot and stop fraud in real-time.
Guarantee model reproducibility and robustness using thorough documentation, testing, and monitoring procedures.
Maintain high standards of data quality and reliability across pipelines and analytics tools.
Partner alongside Risk Strategy teams to brainstorm model inputs and applications.
Coordinate with Engineering to optimize model deployment and observability.

Requirements

Minimum of 5 years of professional experience analyzing large datasets to drive impactful problem-solving.
At least 3 years of focused machine learning experience.
Strong proficiency in SQL for managing and interpreting imperfect data.
Solid proficiency in Python with direct experience applying statistical modeling and machine learning techniques.
Demonstrated capability in deploying and tracking machine learning models within production environments.
Ability to thrive in a fast-paced corporate setting characterized by shifting priorities.

Nice to Have

Minimum of 1 year of dedicated risk experience.
Knowledge of Large Language Models or Generative AI applications for risk and fraud detection.
Familiarity with modern data tools and ETL pipelines, such as dbt.
Prior involvement with model governance standards required in regulated industries like finance.
Experience initiating zero-to-one solutions within greenfield or ambiguous problem spaces.

Skills and Tools

Python
SQL
dbt
Machine Learning and Statistical Modeling
Production Model Deployment

Salary and Benefits

Mercury offers a comprehensive total rewards package featuring base salary, equity through stock options or RSUs, and competitive benefits tailored to the SaaS and fintech sector. Base salary targets depend on geographic location and individual expertise:

US employees across all locations: $166,600 to $250,900 USD.
Canadian employees across all locations: $157,400 to $237,100 CAD.

About the Company

Mercury operates as a financial technology company providing banking services through Choice Financial Group and Column N.A., Members FDIC. The organization deeply values diversity, inclusion, and belonging, operating as an Equal Employment Opportunity employer that welcomes applicants from all backgrounds.

How to Apply

Interested candidates should visit the official company careers page to submit an application for this remote position.

Skills and tech stack

PythonSQLdbt

Questions candidates ask

What is the location flexibility for this role?

This position is fully remote within Canada or the United States, with hubs including San Francisco, New York, and Portland.

What are the core technical skill requirements?

Candidates must be proficient in Python and SQL, with a strong history of deploying and monitoring machine learning models in production environments.

What is the salary range for US-based employees?

The target base salary range for US employees is $166,600 to $250,900 USD, determined by experience and geographic location.

What is the salary range for Canadian-based employees?

The target base salary range for Canadian employees is $157,400 to $237,100 CAD.

What experience level is required?

Applicants need 5+ years of total experience working with large datasets, including at least 3 years specifically focused on machine learning.

Ready to apply?

The application is on the official Mercury careers page.

Apply on company site