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Fraud Data Scientist

Pay
$98,208–144,705/yearAnnual period assumed. Location-specific pay — pay source
This position was posted on 10/28/2026. The application deadline for this position is 45 days from the posting date unless filled earlier.

 Compensation Range: $98,208 - $144,705 The posted compensation range on this listing represents UMB’s good faith and reasonable estimate based on its budget and what it expects to be the starting pay for this role, but the actual compensation may vary by geographic location, experience level, and other job-related factors. Please see the description of benefits included with this job posting for additional information.
Read the full posting
Work setting
HybridLocation limits apply — work setting source
The Fraud Data Scientist reports directly to the Manager, Fraud Reporting & Analytics, supporting business reporting and analytical needs for fraud initiatives. The Fraud Data Scientist works as a member of a reporting and analytics team and utilizes tools for conducting analytics for managing fraud strategies, as well as creating reports consumed by LOB (lines of business) senior executives. This is a subset of the overall responsibilities which involves other multiple initiatives as assigned by Bank Operations leadership. This role is hybrid (Mon through Thu on-site / Fri remote) for candidates in the Kansas City metropolitan area and open to qualified remote candidates outside of the Kansas City area. However, the remote location must be within the US. How you will spend your time:
Read the full posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

Work authorization
Must already have the right to workWork Visa sponsorship is not available for this position

What you’ll work on

Full posting
  • Develop and implement statistical, AI, machine learning and deep learning fraud models

  • Gather business detail from peers and internal customers to adapt and enhance models

  • Routinely measure model performance and make needed modifications

  • Create reports consumed by LOB senior executives

From the employer’s posting
develop and implement statistical analysis, artificial intelligence, machine learning processes and algorithms, and deep learning for fraud modeling
Gather business detail from peers and internal customers to adapt/enhance models.
Routinely measure model performance and implement modifications as needed.
creating reports consumed by LOB (lines of business) senior executives
Education & alternatives
We are excited to talk if you have: - Master’s Degree in Computer Science, Math, Economics, Statistics, or another quantitative field and 2+ years of unsupervised data modeling and segmentation experience OR any combination of education and experience that would provide an equivalent background. - Proven expert level foundation of math, statistics, and programming.
Apply at Umb Financial

Posting record

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Status in our records
Live
First seen by us
Oct 13, 202622 days ago
Recorded sightings
36
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$118K–$193K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 3,721 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 22

Similar jobs usually come down between day 7 and day 55.

From 10,019 similar postings that came down. Coming down is not always a hire.

Umb Financial is hiring

5 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Takes jobs down quickly
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • R
  • SQL
  • Power BI
  • Snowflake
  • SQL Server
  • Tableau
Where the posting names them
- Proven expert level foundation of math, statistics, and programming. - Demonstrated hands-on working knowledge of R or Python, Snowflake, SQL Server or similar database management tool and visualization tools such as Tableau or Power BI. - Superior critical thinking skills.

Your next step

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About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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, supporting business reporting and analytical needs for fraud initiatives. The Fraud Data Scientist works as a member of a reporting and analytics team and utilizes tools for conducting analytics for managing fraud strategies, as well as creating reports consumed by LOB (lines of business) senior executives. This is a subset of the overall responsibilities which involves other multiple initiatives as assigned by Bank Operations leadership. 

 

This role is hybrid (Mon through Thu on-site / Fri remote) for candidates in the Kansas City metropolitan area and open to qualified remote candidates outside of the Kansas City area.  However, the remote location must be within the US.

 

How you will spend your time:

  • Work closely 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 like Machine Learning to gain insights about the future.
  • Answer the “What will happen, and What should be done?” questions.
  • Gather business detail from peers and internal customers to adapt/enhance models.
  • Routinely measure model performance and implement modifications as needed.

 

We are excited to talk if you have:

  • Master’s Degree in Computer Science, Math, Economics, Statistics, or another quantitative field and 2+ years of unsupervised data modeling and segmentation experience OR any combination of education and experience that would provide an equivalent background.
  • Proven expert level foundation of math, statistics, and programming.
  • Demonstrated hands-on working knowledge of R or Python, Snowflake, SQL Server or 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.

 

Bonus Points if you have:

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

 

Applicants must have legal authority to work in the United States.  Work Visa sponsorship is not available for this position.

This position was posted on 10/28/2026. The application deadline for this position is 45 days from the posting date unless filled earlier.



Compensation Range:

$98,208 - $144,705

The posted compensation range on this listing represents UMB’s good faith and reasonable estimate based on its budget and what it expects to be the starting pay for this role, but the actual compensation may vary by geographic location, experience level, and other job-related factors. Please see the description of benefits included with this job posting for additional information.

UMB offers competitive and varied benefits to eligible associates, such as Paid Time Off; a 401(k) matching program; annual incentive pay; paid holidays; a comprehensive company sponsored benefit plan including medical, dental, vision, and other insurance coverage; health savings, flexible spending, and dependent care accounts; adoption assistance; an employee assistance program; fitness reimbursement; tuition reimbursement; an associate wellbeing program; an associate emergency fund; and various associate banking benefits. Benefit offerings and eligibility requirements vary.

Are you ready to be part of something more?
You're more than a means to an end—a way to help us meet the bottom line. UMB isn't comprised of workers, but of people who care about their work, one another, and their community. Expect more than the status quo. At UMB, you can expect more heart. You'll be valued for exactly who you are and encouraged to support causes you care about. Expect more trust. We want you to do the right thing, no matter what. And, expect more opportunities. UMBers are known for having multiple careers here and having their voices heard.


UMB and its affiliates are committed to inclusion and diversity and provide employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including gender, pregnancy, sexual orientation, and gender identity), national origin, age, disability, military service, veteran status, genetic information, or any other status protected by applicable federal, state, or local law. If you need accommodation for any part of the employment process because of a disability, please send an e-mail to talentacquisition@umb.com to let us know the nature of your request.


If you are a California resident, please visit our Privacy Notice for California Job Candidates to understand how we collect and use your personal information when you apply for employment with UMB.


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Pay
This position was posted on 10/28/2026. The application deadline for this position is 45 days from the posting date unless filled earlier.

 Compensation Range: $98,208 - $144,705 The posted compensation range on this listing represents UMB’s good faith and reasonable estimate based on its budget and what it expects to be the starting pay for this role, but the actual compensation may vary by geographic location, experience level, and other job-related factors. Please see the description of benefits included with this job posting for additional information.
Location & working pattern

Kansas City MO

The Fraud Data Scientist reports directly to the Manager, Fraud Reporting & Analytics, supporting business reporting and analytical needs for fraud initiatives. The Fraud Data Scientist works as a member of a reporting and analytics team and utilizes tools for conducting analytics for managing fraud strategies, as well as creating reports consumed by LOB (lines of business) senior executives. This is a subset of the overall responsibilities which involves other multiple initiatives as assigned by Bank Operations leadership. This role is hybrid (Mon through Thu on-site / Fri remote) for candidates in the Kansas City metropolitan area and open to qualified remote candidates outside of the Kansas City area. However, the remote location must be within the US. How you will spend your time:
Work authorization
- Fraud reporting or analytics experience. Applicants must have legal authority to work in the United States. Work Visa sponsorship is not available for this position. This position was posted on 10/28/2026. The application deadline for this position is 45 days from the posting date unless filled earlier.

 Compensation Range:

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