Fraud Data Scientist

UMB Bank•Kansas City, MO

2d•$98,208 - $144,705•Hybrid

About The Position

The Enterprise Fraud Strategy group provides bank-wide support for detecting, preventing, and investigating fraudulent activity across multi-channel payment systems. The Fraud Data Scientist reports directly to the Manager, Fraud Reporting & Analytics and supports business reporting and analytical needs for fraud initiatives. As a member of a reporting and analytics team, the role uses analytical tools to manage fraud strategies and creates reports for lines of business senior executives. Other initiatives may be assigned by Bank Operations leadership. The role is hybrid, with on-site work Monday through Thursday and remote work Friday, and is located in downtown Kansas City, Missouri. Applicants must have legal authority to work in the United States; work visa sponsorship is unavailable. The position was posted on 10/21/2026. The application deadline is 45 days after the posting date unless the position is filled earlier. The compensation range is $98,208–$144,705; actual compensation may vary by geographic location, experience, and other job-related factors.

Requirements

A master’s degree in Computer Science, Math, Economics, Statistics, or another quantitative field, and at least 2 years of unsupervised data modeling and segmentation experience; alternatively, an equivalent combination of education and experience.
Expert-level foundation in mathematics, statistics, and programming.
Hands-on working knowledge of R or Python, Snowflake, SQL Server or a similar database management tool, and visualization tools such as Tableau or Power BI.
Superior critical-thinking skills.
Strong proficiency in statistical algorithm development and evaluation.
Proficiency in advanced statistics, hyperparameter tuning, A/B testing, predictive modeling, recommendation systems, propensity scoring, natural language processing, clustering, customer segmentation, data acquisition, mining structured and unstructured data, designing tools, automation systems, and data frameworks.
Legal authority to work in the United States; work visa sponsorship is not available.

Nice To Haves

Banking or financial services industry experience.
Fraud reporting or analytics experience.

Responsibilities

Work across the organization to develop and implement statistical analysis, artificial intelligence, machine learning processes and algorithms, and deep learning for fraud modeling.
Use dynamic techniques such as machine learning to gain insights about the future.
Answer questions about what will happen and what should be done.
Gather business details from peers and internal customers to adapt or enhance models.
Routinely measure model performance and implement modifications as needed.
Manage fraud strategies using analytical tools and create reports for lines of business senior executives.
Support other initiatives assigned by Bank Operations leadership.