6 дней назад
Fraud & Risk Analyst (AI)
150 500 - 204 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Fraud & Risk Analyst (AI): Analyzing fraudulent behavior and building policy recommendations, metrics, dashboards, and centralized datasets to protect tax, credit, and consumer products with an accent on identity theft, account takeover, and product abuse. Focus on applying SQL, Python, Tableau, Databricks, and statistical analysis to solve large-scale fraud challenges, influence cross-functional decisions, and mentor analysts.
Location: Oakland, California, United States
Base salary: $150,500–$204,000 per year, with potential bonus, equity rewards, and benefits.
Company
Global financial technology platform providing tax, credit, accounting, and marketing products to approximately 100 million customers.
What you will do
- Lead initiatives to identify fraudulent behavior, risk trends, and policy recommendations.
- Improve fraud prevention processes and propose projects that address key risk issues while supporting customer experience.
- Apply AI tools to optimize fraud prevention and problem-solving.
- Partner with investigators, policy makers, product managers, engineers, and data scientists to deliver insights for critical decisions.
- Build metrics and dashboards to measure fraud activity and policy effectiveness.
- Standardize and centralize fraud datasets, document complex analyses and data flows, and mentor analysts.
Requirements
- 5+ years of relevant experience with strong business acumen and analytical ability.
- Advanced SQL and coding skills for data profiling, segmentation, and aggregation.
- Experience with data analytics and visualization tools, including Excel, Google Sheets, Python, and Tableau.
- Experience with relational databases such as Hive and statistical analysis is preferred.
- Ability to communicate complex analyses, negotiate priorities, influence decision-makers, and build consensus across technical and non-technical teams.
- Bachelor’s degree in a quantitative field or equivalent experience; a master’s degree is preferred.
Nice to have
- Experience in fraud prevention or risk.
- Knowledge of fraud prevention, chargeback, precision, recall, and customer insult rate metrics.
Culture & Benefits
- Cross-functional collaboration across fraud investigations, policy, product, engineering, and data science.
- Competitive pay-for-performance compensation approach.
- Potential cash bonus, equity rewards, and employee benefits.
- Emphasis on accountability, organization, empathy, and customer protection.
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