Key job responsibilities
A key component of the role is partnering with our scientists to investigate specific seller cases, analyze risk patterns, and evaluate new signals that could enhance our detection capabilities. You will dive deep into data to understand model behavior, validate hypotheses, and provide analytical insights that inform model development and refinement. Working alongside scientists, risk managers and program managers, you'll help identify gaps in our detection systems and propose data-driven solutions.You will enable effective decision making by conducting thorough analyses of complex cases and presenting findings in a clear, actionable format. This includes retrieving and analyzing data from multiple sources to validate model performance and investigate edge cases. Your insights will directly contribute to improving how we protect our marketplace and customers.
- 4+ years of tax, finance or a related analytical field experience
- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience
- Experience defining requirements and using data and metrics to draw business insights
- Experience making business recommendations and influencing stakeholders
- Experience with Excel
- Bachelor's degree or equivalent
- Proven experience writing scripts using SQL, Python extracting and analyzing the data to provide precise reports to stakeholders.
- Demonstrated ability to consistently maintain a high level of integrity and discretion to handle confidential information.
- Proven superb customer service to the leadership team and other key stakeholders
- Demonstrated written and verbal communication skills.
- Proven ability to present complex information in a clear and concise manner to executives.
- Experience working in risk, fraud, or ML organizations.
- Ability to create detailed business analysis, outlining problems, opportunities and solutions for a business stakeholders.
- Familiar with defining configuration specifications and business analysis requirements
- Experience working in risk, fraud or compliance organizations.
- Advance SQL and Python proficiency -ability to manipulate a massive amount of data, creating dashboards/on demand reports
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