Fraud Analytics Specialist

Join the innovative Enterprise Fraud Strategy team as we lead the fight against fraudulent activity across multi-channel payment systems. As a Fraud Analytics Specialist, you will play a crucial role in supporting our fraud initiatives, reporting directly to the Manager of Fraud Reporting & Analytics. This hybrid role offers flexibility, allowing you to work on-site from Monday to Thursday and remotely on Fridays for candidates located in the Kansas City metropolitan area, or for qualified remote candidates throughout the US. Your key responsibilities will include: Collaborating across the organization to design and deploy statistical analysis, as well as artificial intelligence and machine learning algorithms tailored for fraud modeling. Utilizing dynamic techniques like Machine Learning to develop insights that anticipate future fraud trends. Addressing critical questions such as, "What will happen next?" and "What actions should we take?" to mitigate risks. Engaging with peers and internal stakeholders to refine and enhance existing models based on business feedback. Regularly assessing model performance and implementing necessary adjustments to maintain effectiveness. We are eager to connect with candidates who have: A Master’s Degree in Computer Science, Math, Economics, Statistics, or a related quantitative field, along with 2+ years of experience in unsupervised data modeling and segmentation, or an equivalent combination of education and experience. A strong foundation in mathematics, statistics, and programming, demonstrating expert proficiency. Hands-on experience with R or Python, Snowflake, SQL Server, or similar database tools, and visualization software such as Tableau or Power BI. Exceptional critical thinking skills and the ability to tackle complex problems. Expertise in developing and evaluating statistical algorithms. Proficiency in advanced statistics, hyperparameter tuning, A/B testing, predictive modeling, recommendation systems, propensity scoring, natural language processing, clustering, customer segmentation, and data mining. Bonus points for candidates with: Experience in the banking or financial services sectors. A background in fraud reporting or analytics. Note: Applicants must possess legal authority to work in the United States as work visa sponsorship is not available for this position. Deadline to Apply: March 8, 2026 Compensation Range: $69,230.00 - $149,000.00 The compensation range reflects UMB's standards but may vary based on geographic location, experience level, and other job-related factors. Additional benefits details are provided in this job posting. UMB offers a comprehensive benefits package to eligible employees, including Paid Time Off, a 401(k) matching program, annual incentives, paid holidays, and a variety of health plans. Benefits and eligibility may vary. Are you ready to be part of something bigger? At UMB, we value not just your professional skills, but your individual contributions. We foster an environment of support, integrity, and opportunity, where you can be recognized for who you are and encouraged to pursue causes you care about. UMB and its affiliates are committed to diversity and inclusion in our employment practices without regard to race, color, religion, sex, national origin, age, disability, military service, veteran status, or any other status protected by law. If you require accommodation during the employment process due to a disability, please inform us of your needs. We are not just a company; we are a community of advisors, problem solvers, and friends dedicated to helping you build a successful financial foundation.

Created: 2026-03-04