Fraud AI / Data Consultant

THE JUDGE GROUP, INC.

McLean, VA, United States

about 1 month ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

3 years minimum

Compensation

$124,800.0 - $135,200.0

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Artificial Intelligence Data Analysis Data Structures Data Systems Data Visualization Fraud Prevention and Detection R (Programming Language) JSON Python (Programming Language) Machine Learning Power BI SQL Databases

+6 more

Tableau (Software) Extensible Markup Language (XML) Parquet Data Analytics Looker Analytics Programming Languages

Job description

Design and implement scalable AI and data solutions from requirements to deployment
Develop, test, and tune fraud prevention and detection rules in a variety of programming languages
Develop and optimize machine learning models and analytics workflows
Lead data analytics efforts in detecting fraud, waste, abuse, and improper payments and identifying key areas to target for program/payment integrity improvements
Partner with clients to identify AI use cases and translate business needs into solutions
Own client deliverables and contribute to executive-level presentations
Mentor C2 consultants and review technical work
Ensure solutions align with governance, security, and responsible AI standards (as applicable)

Requirements

Bachelor’s degree from an accredited college/university
Based on our contractual obligations, candidate must be located within the United States and
5+ years of experience in AI, data science, analytics, or engineering
3+ years of experience in a fraud/payment integrity-related role
Strong development expertise in Python/R, SQL, and data modeling
Strong statistical and data analytics expertise
Proficiency working with various data structure formats (CSV/TXT, JSON, XML, Parquet, etc.)
Hands-on experience developing, testing, and validating machine learning and other AI models at scale
Experience with data visualization tools (PowerBI, Tableau, Looker, etc.)
Proven ability to communicate complex concepts to non-technical audiences
Bachelor’s degree required; Master’s preferred
Experience with applying data analytics and artificial intelligence in the financial crime compliance and/or fraud, waste, and abuse prevention space

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