13 дней назад
Risk Strategy Analyst, Payment Risk - USDS (Multiple Positions)
176 356 - 329 334$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Risk Strategy Analyst, Payment Risk - USDS (Multiple Positions) (SQL/Python/Tableau/Power BI): Building payment risk frameworks and solutions to detect, prevent, and mitigate fraud, credit losses, and financial abuse with an accent on large-scale data analysis, dashboards, and machine learning models. Focus on researching fraud cases, identifying root causes, running scenario simulations, and defining risk product strategies with cross-functional teams.
Location: San Jose, California, United States
Salary: $176,356–$329,334 annually, with potential discretionary bonuses, incentives, and restricted stock units.
Company
LLC operates data privacy, cybersecurity, trust and safety, and U.S. user data protection programs for the apps it operates.
What you will do
- Establish a holistic risk management framework for payment fraud, credit losses, and financial abuse across consumers, merchants, and affiliates.
- Develop risk metrics, dashboards, scenario planning, and simulation testing.
- Research fraud cases using large-scale data and ad hoc analysis to identify root causes of payment risk.
- Design solutions using suspicious-user characteristics and machine learning models to detect, prevent, and mitigate fraudulent behavior.
- Collaborate with cross-functional teams to define risk product roadmaps and strategies.
Requirements
- Master’s degree or foreign equivalent in Computer Science, Engineering, Data Analytics, Business Analytics, Mathematics, Statistics, or a related field plus 2 years of related experience; or a bachelor’s degree plus 5 years of progressive post-bachelor’s experience.
- At least 2 years of experience collecting and analyzing data to evaluate business risks and develop integrated controls.
- At least 2 years of experience using SQL and data visualization tools to analyze large datasets, detect trends, and identify anomalies.
- At least 2 years of experience with historical data analysis, root cause analysis, and dashboard development using Tableau or Power BI.
- At least 2 years of experience using Python for data manipulation, prediction, data-load automation, and reporting optimization.
- Experience communicating objectives, risk, status, and updates to stakeholders and organizational leaders.
Culture & Benefits
- Full-time employment at 40 hours per week.
- Medical, dental, and vision insurance from day one.
- 401(k) savings plan with company match, paid parental leave, disability coverage, and life insurance.
- Wellbeing benefits, 10 paid holidays, 10 paid sick days, and 17 days of paid personal time.
- Inclusive workplace with reasonable accommodations available during recruitment.
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