Description
Company Overview :
Seen is a financial technology company working with partners to provide innovative financial products to customers who otherwise do not have access to mainstream financial products.
Seen is committed to financial inclusion, delivering exceptional value and customer satisfaction to its customers.
Position Overview :
As a Fraud and Risk Analyst, you will be responsible for identifying and investigating fraudulent transactions, primarily focusing on credit card-related activities.
You will work closely with various departments, including operations, finance, and customer service, to develop and implement strategies to detect and prevent fraud.
Your insights will play a critical role in shaping our risk management practices and maintaining the security of our payment systems.
Responsibilities :
- Monitor and analyze credit card transactions to detect potential fraud patterns.
- Investigate suspicious activities and identify fraudulent behaviors using advanced analytics tools.
- Develop fraud prevention strategies and recommend risk mitigation practices.
- Collaborate with cross-functional teams to implement fraud detection systems and improve operational processes.
- Stay up to date with emerging fraud trends, regulations, and industry best practices.
- Prepare detailed reports on fraud cases and present actionable insights to management.
- Work with payment processors, banks, and card networks to resolve fraud-related issues.
- Assist in creating policies and procedures to enhance fraud detection and prevention capabilities.
- Train and support internal teams on fraud prevention techniques and risk awareness.
Requirements :
- Bachelor’s degree in finance, economics, computer science, or a related field (or equivalent work experience).
- Excellent analytical and problem-solving skills with the ability to work under pressure.
- Attention to detail and strong investigative instincts.
- Proficiency in Excel, Python, SQL, or similar data analysis tools is a plus.
- Strong communication and presentation skills.
Preferred Skills :
- Master degree in quantitative fields
- Experience working in a financial institution, fintech, or e-commerce environment.
- Certification in fraud examination (CFE) or risk management (FRM) is a plus.
- Experience working with machine learning or artificial intelligence for fraud detection is an advantage.
- Familiarity with transaction monitoring systems, fraud management platforms, and data analytics tools.
- Strong knowledge of credit card processing, chargebacks, and fraud schemes.
Why Join Us :
- Opportunity to make a significant impact and drive growth at a fast-growing startup.
- Collaborative and inclusive work environment where your ideas are valued and encouraged.
- Competitive compensation package.
- Comprehensive benefits package includes health, dental, vision, and 401(k) matching.
- Flexible work arrangements and a culture that promotes work-life balance.
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