# Forward Deployed Engineer, Trust and Safety at Sift

- Company: Sift
- What the company does: Sift's fraud prevention platform stops payment fraud and account takeover in real time - with transparent workflows, global data and expert analysts. Backed by Insight.
- Company website: https://siftscience.com/
- Type: Startups
- Level: Mid level
- Location: Remote - USA
- Work setup: Remote
- Pay: $170K to $230K base salary per year (USD)
- Posted: 2026-08-01
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/sift/03d426f0-2e0f-408a-9433-55b7a10d1da3
- Page: https://www.1752.vc/careers/jobs/sift-forward-deployed-engineer-trust-and-safety/

## About the role

Work with our Trust and Safety Architect and Data Science teams to surface emerging fraud patterns across the network escalate and proactively take them down. Detect patterns and turn those findings into sharper signals, tighter configurations, and smarter decisioning logic.

## What they're looking for

- 5 - 8 years in fraud, trust & safety, risk, or a closely related data science domain - you've spent meaningful time working with fraud data, not just adjacent to it
- 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, score drift
- Experience analyzing large-scale behavioral or transactional datasets to find patterns and anomalies - you know what a fraud ring looks like in the data, not just in a textbook
- 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

Tags: Customer Experience