1 день назад
Staff Risk Strategy Analyst (Fraud & Risk)
137 255 - 193 872$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Risk Strategy Analyst (Fraud & Risk): Developing and scaling marketplace risk strategies across buyer fraud, seller abuse, account integrity, payment fraud, and trust & safety with an accent on advanced analytics, risk decisioning, and machine learning operationalization. Focus on designing experiments, monitoring risk and business metrics, identifying emerging abuse patterns, and balancing fraud prevention with customer experience and marketplace growth.
Location: US California (Redwood City) - Office
Salary: $137,255–$193,872 base pay per year, plus potential equity, performance-based incentives, and benefits.
Company
is a social fashion marketplace connecting buyers and sellers through discovery, self-expression, and community.
What you will do
- Develop and scale risk strategies and policies covering buyer fraud, seller abuse, account integrity, payment fraud, refund and return abuse, spam, and trust and safety.
- Analyze large-scale marketplace, transactional, and behavioral data to identify abuse patterns, quantify risk exposure, and define mitigation strategies.
- Design, deploy, and optimize risk decisioning strategies using internal and third-party risk, identity, fraud prevention, and orchestration platforms.
- Partner with Data Science and Machine Learning teams to operationalize and monitor predictive models in production risk workflows.
- Build experimentation frameworks, monitoring systems, KPIs, and governance processes to measure strategy effectiveness and respond to emerging threats.
- Collaborate with Product, Engineering, Trust & Safety Operations, Payments, Customer Experience, and Analytics teams, while mentoring analysts and cross-functional partners.
Requirements
- Bachelor’s degree in a quantitative field with 8+ years of relevant experience, or an advanced degree with 6+ years of experience in fraud, risk, trust and safety, or advanced analytics.
- Deep experience developing and optimizing fraud, abuse, or trust strategies in marketplace, e-commerce, fintech, payments, or platform ecosystems.
- Strong SQL proficiency and experience working with large-scale transactional and behavioral datasets; Python or R experience is preferred.
- Experience with risk decisioning, orchestration, identity, or fraud prevention platforms and with operationalizing predictive models.
- Understanding of account abuse, payment fraud, refund abuse, fake accounts, spam, listing abuse, social engineering, and platform manipulation.
- Strong experimentation, analytical problem-solving, communication, stakeholder management, and business judgment skills.
Culture & Benefits
- Work in a cross-functional environment spanning analytics, fraud strategy, trust and safety, identity, payments risk, product, and engineering.
- Contribute to protecting a large marketplace community and improving trusted user experiences at scale.
- Compensation includes potential equity, performance-based incentives, and a comprehensive benefits package.
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