Anti-Fraud Data Analyst - USDS

Responsibilities

Team Intro:
Governance and Experience is a global team responsible for ensuring our marketplace is safe and trustworthy for not only users but also sellers and creators. We value user satisfaction and work on policies, rules, and systems to ensure quality.

In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.

Responsibilities:
- Manage end-to-end, large-scale quantitative analysis projects and monitoring systems
- Apply investigational and analytical skills to monitor, audit, and analyze potential fraudulent cases and develop anti-fraud rules
- Design processes and build effective workflows to define characteristics of different fraud types, capture new risk types, and collaborate with cross-functional teams to drive improvements of existing tools, processes, and models related to fraud management
- Understand the trends and telemetry of fraudulent activities in each market and design effective monitoring tools to mitigate fraud
- Define key performance metrics and build detailed reporting models for effective tracking, reporting, and feedback on measures implemented
- Research fraud-related policies and build effective enforcement processes to prevent and penalize bad actors while balancing user experiences
- Communicate findings and complex results to key stakeholders and manage timelines of key projects
- Collaborate with cross-functional teams to come up with data-driven solutions
- Provide data-driven guidance on fraud policies and enforcement measures to influence key stakeholders

Qualifications

Minimum Qualifications:
- Bachelor's degree
- Proficient in SQL and familiar with Python or R for data analysis
- 1+ years of relevant experience in one of the following areas: Anti-fraud, Financial Services, Risk Management, Trust & Safety, Data Analytics, Data Science in eCommerce or Tech industry in general;
- Excellent communication with the ability to work with global teams with little supervision
- Intellectually curious, data-driven, result-oriented, and has a high desire to learn and contribute
- Ability to navigate ambiguity and show good judgement
- Willingness to travel 10-20% if needed

Preferred Qualifications:
- Bachelor's degree in mathematics, statistics, computer science, engineering is preferred

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $106400 - $232223 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.