Forward-Deployed Fraud & Trust Engineer

Sift; United States; Remote; USD 100,000 - 130,000; Full time

Benefits offered by this job

Diverse and inclusive workplace

AI-powered fraud platform environment

Job summary

Sift is looking for a Forward Deployed Engineer specializing in Trust and Safety to help create a safer internet by detecting and countering fraud. You'll work closely with cross-functional teams to manage fraud investigations, build analytic tools, and optimize data signals for customer success.

The ideal candidate will have 5–8 years of experience in related fields and strong SQL and Python skills. Join Sift's diverse and inclusive team that empowers businesses to grow fearlessly while unlocking seamless consumer experiences.

Qualifications

• 5–8 years in fraud, trust & safety, risk, or a related technical domain.
• Strong skills in SQL and Python essential for data analysis.
• Experience with machine learning concepts applied to fraud detection.

Responsibilities

• Surface emerging fraud patterns and take them down.
• Build dashboards and tune models for desired business outcomes.
• Lead forensic investigations during fraud spikes.

Skills

Fraud data analysis

SQL

Python

ML concepts

Behavioral analysis

Technical communication

Customer engagement

Education

Computer Science, Mathematics, Statistics, Information Systems, Economics degree or equivalent

Tools

Fraud detection platforms

Real-time event processing systems

Job description

Sift is looking for a Forward Deployed Engineer specializing in Trust and Safety to help create a safer internet by detecting and countering fraud. You'll work closely with cross-functional teams to manage fraud investigations, build analytic tools, and optimize data signals for customer success.

The ideal candidate will have 5–8 years of experience in related fields and strong SQL and Python skills. Join Sift's diverse and inclusive team that empowers businesses to grow fearlessly while unlocking seamless consumer experiences.