Forward-Deployed Fraud & Trust Engineer

Sift; San Francisco (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

Sift is seeking a Forward Deployed Engineer, Trust and Safety to detect fraud patterns, build detection platforms, and enable safer online experiences for customers.

You will partner with the Trust and Safety Architect and Data Science teams to surface signals, tune models, and deliver actionable insights, while balancing different client priorities. Travel to client sites may be required.

Qualifications

• 5 - 8 years in fraud, trust & safety, risk, or a closely related data science domain.
• Strong SQL and Python skills; you reach for code to answer a question, not to build a pipeline.
• Strong understanding of ML concepts applied to fraud: classification models, feature engineering, precision/recall tradeoffs, threshold calibration.
• Experience analyzing large-scale behavioral or transactional datasets to find patterns and anomalies.
• Ability to communicate technical findings to both technical and non-technical stakeholders; you can write a forensic investigation report and present it to a VP of Risk in the same week.
• Customer-facing experience; you understand that different businesses have different priorities, and that listening before optimizing is part of the job.

Responsibilities

• Surface emerging fraud patterns across the network with the Trust and Safety team.
• Detect patterns and translate findings into signals, configurations, and decisioning logic.
• Collaborate with customers, partners, and prospects with different risk appetites to optimize outcomes.
• Build dashboards, tune models, and develop signals to help customers achieve business goals.
• Identify false positives, coverage gaps, and vulnerabilities by examining raw event streams; design tests and fixes.
• Lead forensic investigations during fraud spikes and document remediation steps.
• Differentiate between anomalies and systemic gaps; advocate for products opportunities with rigor.
• Contribute to detection frameworks, tooling, and internal playbooks to improve efficiency.
• Be the conduit between customer reality and roadmap; travel may be required.

Skills

SQL

Python

Fraud domain experience

ML for fraud detection

Stakeholder communication

Tools

Fraud detection platforms

Real-time event processing

Job description

Sift is seeking a Forward Deployed Engineer, Trust and Safety to detect fraud patterns, build detection platforms, and enable safer online experiences for customers.

You will partner with the Trust and Safety Architect and Data Science teams to surface signals, tune models, and deliver actionable insights, while balancing different client priorities. Travel to client sites may be required.