Fraud Intelligence Engineer - Graph Analytics & Risk Scoring

Verisoul Inc.; Austin (TX); On-site; USD 190,000 - 240,000; Full time

Benefits offered by this job

Free Lunch

$10K Relocation Bonus

100% Insurance Coverage

Unlimited Vacation

Beautiful Office

Job summary

A leading fraud prevention technology firm in Austin, Texas is seeking an experienced Full-stack Engineer to build and innovate systems that catch fraud. Responsibilities include architecting reputation systems, deploying graph analytics, and developing probabilistic models. Candidates should have over 4 years of experience in full-stack engineering with a strong understanding of data pipelines and entity resolution. The position offers a competitive salary ranging from $190,000 to $240,000 plus equity and comprehensive benefits.

Qualifications

• 4+ years of experience as a full-stack engineer.
• Experience with batch processing, data pipelines, and warehousing.
• Understanding of how to link data points into a cohesive identity.
• Ability to apply mathematical concepts like probability and entropy.

Responsibilities

• Build batch and nearline data pipelines for scoring risk.
• Use network science to detect synthetic accounts.
• Engineer scoring algorithms integrating reputation data.
• Conduct discovery on terabytes of historical fraud data.

Skills

Full-stack engineering

Big Data Engineering

Entity Resolution

Probability

Graph theory

Job description

A leading fraud prevention technology firm in Austin, Texas is seeking an experienced Full-stack Engineer to build and innovate systems that catch fraud. Responsibilities include architecting reputation systems, deploying graph analytics, and developing probabilistic models. Candidates should have over 4 years of experience in full-stack engineering with a strong understanding of data pipelines and entity resolution. The position offers a competitive salary ranging from $190,000 to $240,000 plus equity and comprehensive benefits.