Staff Software Engineer, Fraud Prevention & Risk

United States Digital Space LLC; San Francisco (CA); Hybrid; USD 320,000 - 485,000; Full time

Job summary

United States Digital Space LLC in San Francisco is seeking a software engineer for the Fraud Prevention team. You will design and build real-time risk decisions at authorization, manage the dispute and chargeback lifecycle, and detect monetization abuse across subscriptions, trials, and in-app purchases.

The role requires deep Python and SQL expertise, production experience in fraud/risk systems, and the ability to explain technical tradeoffs to non-technical stakeholders.

Qualifications

• Proficiency in Python, SQL, and data analysis tools.
• Experience building or operating fraud, risk, or abuse detection systems in production.
• Strong communication skills and ability to explain complex technical tradeoffs to non-technical stakeholders.

Responsibilities

• Design and build real-time risk decisioning that scores transactions at authorization time, balancing fraud loss, approval rates, and latency constraints.
• Build tooling and automation for the dispute and chargeback lifecycle, from review queues to evidence collection and loss reporting.
• Engineer fraud signals at scale — device fingerprinting, BIN and issuer signals, velocity features, and cross-account linkage — and detect monetization abuse across subscriptions, trials, promotions, and in-app purchases.
• Own a portfolio of metrics — loss rate, dispute rate, authorization approval impact, and false-positive rate — rather than optimizing any single number.
• Lead investigations into emerging fraud patterns, building multi-layered defenses designed for attacker adaptation rather than point-in-time rules.
• Work cross-functionally with finance, support, legal, and data science, and with external payment processors and platform partners.

Skills

Python

SQL

Data analysis tools

Job description

United States Digital Space LLC in San Francisco is seeking a software engineer for the Fraud Prevention team. You will design and build real-time risk decisions at authorization, manage the dispute and chargeback lifecycle, and detect monetization abuse across subscriptions, trials, and in-app purchases.

The role requires deep Python and SQL expertise, production experience in fraud/risk systems, and the ability to explain technical tradeoffs to non-technical stakeholders.