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Fraud Strategy Data Scientist (Fintech)

112 700 - 135 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Fraud Strategy Data Scientist (Fintech): Lead projects in fraud detection, risk analysis, and loss mitigation by developing predictive algorithms and refining risk strategies. Focus on building complex analytics, data-driven monitoring, and collaborating cross-functionally to optimize fraud risk control strategies.

Location: Remote-first role for candidates authorized to work in the United States; San Jose, California is the listed pay location. Office spaces are available in San Jose, CA and Draper, UT, with opportunities to connect in person.

Salary: $112,700–$135,000 USD annually for the San Jose pay zone. Additional geographic zones range from $95,800–$121,500 annually.

Company

hirify.global develops financial automation tools that help businesses manage spending, payments, and operational processes.

What you will do

  • Lead fraud detection, risk analysis, and loss mitigation projects across the fraud risk strategy lifecycle.
  • Design, develop, maintain, and refine analytical rules, control strategies, predictive algorithms, and automated monitoring.
  • Use SQL, Python, advanced analytics, and dashboards to investigate complex data and communicate actionable findings.
  • Partner with product, engineering, modeling, operations, and business stakeholders to define requirements, KPIs, risk signals, and customer treatments.
  • Validate and maintain new models, rules, product opportunities, and strategy changes through experimental design and pre- and post-implementation analysis.
  • Apply AI by designing prompts, evaluating outputs, and integrating LLMs through APIs into notebooks and automated pipelines.

Requirements

  • 3+ years of end-to-end fraud risk control strategy experience in eCommerce, online payments, or a related industry.
  • Advanced experience with data science, analytics, complex SQL and Python scripting, predictive algorithms, and data interpretation.
  • Experience building performance dashboards and monitoring in tools such as Tableau.
  • Knowledge of financial fraud risk metrics, typologies, indicators, data enrichment, score recalibration, and control governance.
  • Experience leading projects and influencing cross-functional teams across modeling, product, engineering, and operations.
  • Must be authorized to work in the United States without requiring visa sponsorship now or in the future.

Nice to have

  • Experience with onboarding fraud and abuse typologies.
  • Experience mentoring junior team members.

Culture & Benefits

  • Remote-first work environment with office spaces in San Jose and Draper.
  • 100% paid employee health, dental, and vision plans.
  • HSA and FSA accounts, life insurance, disability coverage, and an Employee Assistance Program.
  • 11+ observed holidays, wellness days, and flexible time off.
  • Employee Stock Purchase Program, wellness initiatives, recognition programs, and referral programs.

Hiring process

  • Interview and assessment stages follow a transparent and inclusive evaluation process.
  • Unapproved external assistance, including generative AI, is prohibited during live interviews or assessments.

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