Real-Time Fraud & Trust Architect

Lovable; Stockholms kommun; On-site; SEK 1,000,000 - 1,600,000; Full time

Job summary

Lovable is seeking an experienced anti-fraud platform engineer to build real-time defenses that protect payments, credits, and the free tier from abuse.

You will design signals, features, scoring, and decisioning that act in milliseconds, run a tight feedback loop with trust & safety, and deploy weekly. You think adversaries, model attackers, and measure impact to improve defenses without impacting legitimate users.

Qualifications

• 5+ years building anti-fraud or risk systems at consumer scale.
• Strong backend engineering and data proximity.
• Experience disrupting sophisticated fraud campaigns.
• Pragmatic about precision/recall; protect users.

Responsibilities

• Design and ship the fraud platform protecting Lovable's payments and credits.
• Build real-time detection: signals, features, scoring, and decisioning.
• Run a tight feedback loop with chargebacks, support, and trust & safety weekly.
• Stand up bot defenses across signup, app generation, and publishing.
• Own the metrics that matter: fraud loss rate, false positives, attacker time-to-defeat.

Skills

Backend engineering

Go

Python

TypeScript

Data proximity

Fraud/risk systems

Adversary thinking

Precision/recall

Tools

Rules engines

Real-time feature stores

ML scoring

Device fingerprinting

Behavioral signals

Job description

Lovable is seeking an experienced anti-fraud platform engineer to build real-time defenses that protect payments, credits, and the free tier from abuse.

You will design signals, features, scoring, and decisioning that act in milliseconds, run a tight feedback loop with trust & safety, and deploy weekly. You think adversaries, model attackers, and measure impact to improve defenses without impacting legitimate users.