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
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.
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