About Us
Founded in 2018, OPay is a leading fintech platform focusing on emerging financial markets and offering Al and big data-based innovative fintech solutions, such as payment, digital wallet, credit and other financial services, to emerging market customers in Africa and Asia. After five years of product development, OPay has become one of the most competitive fintech unicorns in emerging markets. It firmly believes that its value comes from its social value and has always been committed to developing inclusive finance in emerging markets by leveraging the power of technology and innovation.
What You'll be Doing
- Develop and optimize transaction risk control strategies (anti-money laundering, anti-fraud, and account security protection) based on fraud incidents and emerging trends.
- Improve the monitoring system for transaction risk control strategies, identifying anomalies and optimizing relevant strategies in a timely manner.
- Address serious customer complaints during payments, including identifying and investigating card theft and account theft, as well as managing case determinations and compensation for losses.
- Utilize big data to extract rules and features, continuously iterating on transaction monitoring, fraud strategies, and models.
Who We're Looking For
- Bachelor’s degree or higher in finance, statistics, or a related field, with over 3 years of work experience.
- Familiar with data mining and data analysis, proficient in using SQL and Python for data analysis.
- Knowledgeable about various internet fraud patterns, prevention strategies, and methods for analyzing and investigating individual and group fraud cases; familiar with the black industry chain in online finance.
- Strong data awareness and logical reasoning abilities, with strong analytical and judgment skills.
- Experience in payment and anti-fraud is preferred.
About Us
Founded in 2018, OPay is a leading fintech platform focusing on emerging financial markets and offering Al and big data-based innovative fintech solutions, such as payment, digital wallet, credit and other financial services, to emerging market customers in Africa and Asia. After five years of product development, OPay has become one of the most competitive fintech unicorns in emerging markets. It firmly believes that its value comes from its social value and has always been committed to developing inclusive finance in emerging markets by leveraging the power of technology and innovation.
What You'll be Doing
- Develop and optimize transaction risk control strategies (anti-money laundering, anti-fraud, and account security protection) based on fraud incidents and emerging trends.
- Improve the monitoring system for transaction risk control strategies, identifying anomalies and optimizing relevant strategies in a timely manner.
- Address serious customer complaints during payments, including identifying and investigating card theft and account theft, as well as managing case determinations and compensation for losses.
- Utilize big data to extract rules and features, continuously iterating on transaction monitoring, fraud strategies, and models.
Who We're Looking For
- Bachelor’s degree or higher in finance, statistics, or a related field, with over 3 years of work experience.
- Familiar with data mining and data analysis, proficient in using SQL and Python for data analysis.
- Knowledgeable about various internet fraud patterns, prevention strategies, and methods for analyzing and investigating individual and group fraud cases; familiar with the black industry chain in online finance.
- Strong data awareness and logical reasoning abilities, with strong analytical and judgment skills.
- Experience in payment and anti-fraud is preferred.