Fraud Risk Strategy Analyst

7 days ago

San Jose, California, United States Aliviastaffing Full time

Experience level: Mid-Senior

Experience required: Up to 2 years

Education: Bachelors degree

Job function: Finance / Risk Analytics

Industry: Financial Services

Employment type: Contract (covering multiple leaves over ~1 year; potential extension based on business need and performance)

Work setup: Hybridcandidate must be based in the San Jose area

Visa sponsorship: Not available

Relocation assistance: No

Openings: 1

Schedule: Day shift, MonFri (Pacific Time)

Overview

Were seeking a talented and dedicated analyst to support a Fraud Risk Strategy team. Youll contribute to projects in fraud detection, risk analysis, and loss mitigation, applying statistics and data science to real-world business challenges in digital payments/e-commerce. This is a hands-on role with high visibility and strong cross-functional collaboration.

Key Responsibilities

  • Design rules to detect and mitigate fraud across products and customer segments
  • Build Python scripts/models that support fraud strategies and automation
  • Investigate novel/large cases and identify root causes and patterns
  • Define strategy for different risk types and guide execution
  • Partner with Product and Engineering to improve control capabilities
  • Develop dashboards/visualizations (Tableau or AWS QuickSight) to track KPIs
  • Present insights and recommendations to stakeholders and leadership

Must-Have Qualifications

  • Up to 2 years in risk analytics, data analysis, or data science within eCommerce, online payments, user trust/risk/fraud, or abuse investigations
  • Bachelors in Data Analytics, Data Science, Mathematics, Statistics, Data Mining, or related field (or equivalent practical experience)
  • Demonstrated application of statistics/data science to solve complex business problems
  • Proficiency in SQL, Python, and Excel (including core data science libraries)
  • Experience working with large datasets
  • Proficiency in data visualization (e.g., Tableau; AWS QuickSight a plus)
  • Clear communication skills for technical and executive audiences

Nice to Have

  • Experience/aptitude solving risk/fraud problems using analytics
  • Exposure to AWS, payment rule systems, fraud investigations, working with ML teams, and knowledge of fraud typologies

Expected Outcomes (612 Months)

  • Design and implement data-driven fraud strategies and rules to address emerging trends while protecting customer experience
  • Build dashboards/visualizations to track strategy KPIs
  • Collaborate with Product/Engineering to deploy real-time, scalable fraud solutions
  • Deliver persuasive, data-backed presentations and recommendations to leadership

Interview Process

  • Multiple Zoom interviews (23)
  • SQL assessment during the first interview
  • Strictly contract role (covering multiple leaves over ~1 year)

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