Analyst – Fraud | Payments Analytics
COMPANY OVERVIEW:
The company a global leader in enterprise-grade data analytics and AI solutions, committed to empowering businesses across various industries with cutting-edge technology and expert insights. Backed by a top private equity firm, they drive innovation through significant investments and an entrepreneurial spirit.
They focus on delivering advanced Data Analytics & AI Solutions. By combining sophisticated technology with subject matter expertise, they deliver material impact on clients’ topline and streamline their operations. They specialize in providing tailored solutions across financial services, CPG, legal, pharma, life sciences, retail and logistics, helping them build robust data analytics and AI capabilities.
With a client base spanning 30 countries, they have a global presence to enables them to offer localized expertise with a worldwide perspective.
POSITION OVERVIEW:
We are seeking a Fraud & Payments Analytics professional to support client’s risk and fraud strategy team. In this role, you will use data to detect and prevent fraud, optimize payment experiences, and help shape risk strategies that protect both customers and the business.
This is an individual contributor role suited for someone with strong analytical skills, hands-on experience in fraud or payments analytics, and a solid understanding of fraud strategy. Candidates with 3+ years of relevant experience are encouraged to apply.
RESPONSIBILITIES:
- Analyze large-scale transaction, user, and behavioral data to identify fraud patterns, emerging attack vectors, and payment risks.
- Develop, refine, and monitor fraud strategies, rules, and policies to reduce losses while minimizing customer friction.
- Build and track key fraud and payment performance metrics (e.g., chargeback rates, false positive rates, approval rates, loss rates).
- Partner with product, engineering, operations, and data science teams to design and implement fraud controls and payment risk solutions.
- Conduct deep-dive investigations into fraud incidents and payment anomalies; provide clear root-cause analysis and recommendations.
- Support experimentation (A/B tests, rule changes, model deployments) and measure impact on fraud loss, customer experience, and operational cost.
- Create clear, concise dashboards and reports for stakeholders and leadership, highlighting trends, risks, and opportunities.
- Stay current on industry fraud trends, tools, and regulatory considerations relevant to digital payments and e-commerce.
PREFERRED PROFILE:
- Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science, Engineering, Finance) or equivalent practical experience.
- 3+ years of experience in analytics roles focused on fraud, risk, or payments (e.g., at a fintech, bank, card network, e-commerce, or payments company).
- Demonstrated experience with fraud strategy: designing or optimizing rules, policies, or controls to manage fraud and payment risk.
- Strong SQL skills and experience working with large datasets in a data warehouse environment.
- Proficiency with at least one analytical or scripting language (e.g., Python, R) for data analysis and modeling support.
- Solid understanding of key fraud and payment concepts (e.g., chargebacks, disputes, authorization/decline flows, identity and account takeover, transaction monitoring).
- Strong analytical and problem-solving skills, with the ability to translate data insights into actionable business recommendations.
- Excellent communication skills, with the ability to present complex analyses in a clear, concise way to non-technical stakeholders.
- Experience in a large-scale digital payments or marketplace environment.
- Familiarity with machine learning–driven fraud detection systems and model performance metrics.
- Experience with BI/visualization tools (e.g., Tableau, Power BI, Looker).
- Prior experience working with cross-functional teams (product, engineering, operations, compliance).
Personal Attributes Desired:
- Data-driven, detail-oriented, and intellectually curious.
- Comfortable working in a fast-paced, evolving environment.
- Collaborative mindset with the ability to work effectively across functions and geographies.
- Ownership mentality and bias for action; able to drive initiatives from concept to execution.
LOCATION: San Jose, CA (Hybrid)
Job ID# 3601339
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