Fraud Data Scientist
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, 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) located in downtown Kansas City, MO.
Requirements
- 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.
Nice To Haves
- 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.
Responsibilities
- 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.
Benefits
- 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
- various associate banking benefits
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
