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UMB

Regional bank offering diversified financial services

Fraud Data Scientist

Data ScienceConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A master's degree in Computer Science, Mathematics, Economics, Statistics, or another quantitative field and at least 2 years of unsupervised data modeling and segmentation experience, or an equivalent combination of education and experience.
  • A strong 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.
  • 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.

Responsibilities

  • Develop and implement statistical analysis, artificial intelligence, machine learning processes and algorithms, and deep learning for fraud modeling across the organization.
  • 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 and enhance models.
  • Routinely measure model performance and implement modifications as needed.

Desired Qualifications

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

About the Company

UMB

Regional bank offering diversified financial services

UMB Financial provides banking and financial services to individuals, businesses, and institutions, including wealth management and treasury services. Its products run through customer accounts, loans, cash management, and trust and investment services, delivered via branches, advisors, and online tools to help people manage money and grow assets. The company stands out through a long local history, a strong emphasis on customer service, and community involvement, with growth beyond a single region. Its goal is to be a trusted, dependable financial partner that helps clients manage finances and pursue long-term growth.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Kansas City, MO
Founded
1913

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