обновлено 5 дней назад
Fraud Strategy Data Scientist (Fintech)
112 700 - 135 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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