Назад
4 дня назад

Staff+ Software Engineer (Financial Fraud)

320 000 - 485 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/

TL;DR

Staff+ Software Engineer (Financial Fraud): Building and optimizing real-time risk decisioning and fraud prevention systems for payment and monetization surfaces with an accent on reducing financial abuse and managing the dispute lifecycle. Focus on engineering fraud signals at scale, designing multi-layered defenses, and balancing approval rates with fraud loss.

Location: Must be based in the US (San Francisco, New York City, or Seattle) and attend the office at least 25% of the time.

Salary: $320,000 - $485,000 USD

Company

Anthropic is a public benefit corporation dedicated to creating reliable, interpretable, and steerable AI systems.

What you will do

  • Design and build real-time risk decisioning systems to score transactions while balancing fraud loss, approval rates, and latency.
  • Develop tooling and automation for the dispute and chargeback lifecycle, including review queues and evidence collection.
  • Engineer large-scale fraud signals such as device fingerprinting, BIN signals, and cross-account linkage to detect monetization abuse.
  • Own and optimize key metrics including loss rate, dispute rate, and false-positive rates.
  • Lead investigations into emerging fraud patterns and build adaptive, multi-layered defenses.
  • Collaborate cross-functionally with finance, legal, and external payment processors.

Requirements

  • Proficiency in Python, SQL, and data analysis tools.
  • Experience building or operating fraud, risk, or abuse detection systems in production.
  • Strong communication skills to explain technical tradeoffs to non-technical stakeholders.
  • Must be based in the US (San Francisco, New York City, or Seattle).

Nice to have

  • 8+ years of industry software engineering experience with a focus on payments fraud or risk.
  • Fluency with payment rails (Stripe, Adyen, card networks, in-app purchase platforms).
  • Direct experience combating card testing, stolen-card monetization, and promotional abuse.
  • Experience building hybrid rules-and-ML risk systems.
  • Background in marketplace or subscription-based businesses.

Culture & Benefits

  • Collaborative "big science" research environment focusing on high-impact goals.
  • Competitive compensation and optional equity donation matching.
  • Generous vacation and parental leave.
  • Flexible working hours and modern office spaces.
  • Visa sponsorship available for eligible candidates.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →