Fraud Risk Strategy Analyst

San Jose, CA - USA

Hourly Salary: $ 50 - 50

Posted on: 17 hours ago

Vacancies: 1 Vacancy

Job Summary

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 to extend based on business needs and performance)

Work Setup: Hybrid must be based in the San Jose area

Visa Sponsorship: Not available

Relocation Assistance: No

Schedule: MonFri Day Shift (Pacific Time)

Overview

Were looking for a talented detail-oriented analyst to support the Fraud Risk Strategy team. Youll contribute to projects in fraud detection risk analysis and loss mitigation using statistics and data science to solve real-world challenges in digital payments and eCommerce. This hands-on role involves high collaboration with cross-functional teams and significant business impact.

Key Responsibilities

Design and refine rules to detect and mitigate fraud across customer segments
Develop Python scripts and models that enhance fraud detection and automation
Investigate complex or high-impact fraud cases and identify root causes
Define and execute strategies for multiple risk types
Collaborate with Product and Engineering teams to improve control systems
Build dashboards and 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 or user trust/fraud domains
Bachelors degree in Data Analytics Data Science Mathematics Statistics or related field (or equivalent experience)
Proficiency in SQL Python and Excel including key data science libraries
Experience working with large datasets
Skilled in data visualization using Tableau (AWS QuickSight a plus)
Strong analytical and communication skills with the ability to explain results to technical and non-technical teams

Nice to Have

Experience solving risk or fraud problems using analytics
Familiarity with AWS payment rule systems and machine learning workflows
Understanding of fraud investigations and typologies

Expected Outcomes (612 Months)

Design and implement data-driven fraud strategies to reduce loss and improve customer experience
Develop dashboards to monitor key fraud metrics and performance indicators
Partner with teams to deploy scalable real-time fraud detection solutions
Deliver actionable insights and recommendations that influence business decisions

Interview Process

Two to three Zoom interviews
SQL skills assessment during the first interview
Contract position covering multiple leaves (approx. 12 months)

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 to extend based on business needs and performance) Work Setup: Hy...