The Fraud Analytics Analyst is responsible for leveraging data analytics to set a fraud strategy that serves as a competitive advantage, providing the right balance between a seamless user experience and great fraud controls.
Key Responsibilities
Analyze large datasets to identify trends, patterns, and indicators of fraud, focusing on both broad fraud trends and specific areas such as credit card and transactional fraud.
Develop and refine fraud detection models and algorithms to improve detection rates and false positives.
Drive research projects through all its phases, from inception to deployment and impact assessment.
Prepare and present analytical reports on fraud trends, findings, and the effectiveness of fraud prevention strategies.
Write queries, design, build and maintain dashboards and visualizations to monitor randomized experiments and key metrics.
Continuously quantify the impact in gross margin of fraud initiatives, size the economic opportunity of product vulnerabilities and process inefficiencies.
Work cross functionally with stakeholders in Data Science, Fraud Operations, Product, and Go-to-market.
Qualifications
Bachelor’s degree in applied quantitative field, such as statistics, economics, mathematics, etc.
1-2 years of work experience with transactional fraud in credit lending and credit cards, working in the telecom industry and a fast-paced and rapidly changing environments.
Strong SQL competencies, and experience with statistical programming languages such as R or Python.
Excellent written and oral communication skills, summarize and communicate technical analysis to broad audiences.
Strong analytical skills and who are curious by nature.
Results-oriented and feels comfortable working both autonomously and in heavily cross-functional environments, taking full ownership of his/her own projects.
Benefits
- 100% Company-funded Health for employees and immediate family members
- Life Insurance
- Indefinite-term contract
- 20 days of vacations, unlimited sick leave
- $2,000 USD annual Co-working Travel perk
- $2,000 USD annual Professional Development perk
- Phone finance, headphone benefit, home office equipment allowance and wellness perks
- Catered lunches
Skills Required
- Bachelor's degree in applied quantitative field such as statistics, economics, mathematics
- 1-2 years of work experience with transactional fraud in credit lending and credit cards
- Strong SQL competencies
- Experience with statistical programming languages such as R or Python
- Excellent written and oral communication skills
- Strong analytical skills
PayJoy Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about PayJoy and has not been reviewed or approved by PayJoy.
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Fair & Transparent Compensation — Pay is considered market‑aligned for senior U.S. technical roles, and public salary bands help candidates benchmark and align expectations. Feedback suggests this transparency supports confidence that offers are competitive for role and location.
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Healthcare Strength — Company‑paid basic medical, dental, vision, life, and disability coverage is emphasized as a standout element versus many startups. Feedback suggests this reduces out‑of‑pocket burden and strengthens the core benefits foundation.
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Parental & Family Support — Paid parental leave and flexible hours are highlighted alongside dedicated time off. Feedback suggests these family‑oriented policies enhance the perceived completeness of the package.
PayJoy Insights
What We Do
PayJoy's mission is to deliver access to credit to the next billion people in emerging markets worldwide. Our unique mobile security technology gives customers the ability to afford their first smartphone on credit, using the phone itself as collateral, and then provides further access to credit to help weather life's unexpected financial surprises and climb the ladder of economic well-being. Founded in 2015, today PayJoy has reached millions of customers in a dozen countries around the globe, including Mexico, Brazil, Colombia, India, Kenya, and South Africa, and is on a strong growth path with support from major industry partners to bring credit to the next billion emerging consumers.
