Staff Data Scientist – Fraud Strategy
About Us
Coupang is a global e-commerce platform that is among the largest and fastest-growing in the world. Coupang Pay, our fintech subsidiary, is dedicated to delivering innovative payment and financial service solutions to all Coupang platform users. We aim to revolutionize the payment experience for our customers, empowering them with the ability to do more with their money.
Job Overview
As a Fraud Strategist, you will be responsible for developing and implementing strategies to detect, prevent, and mitigate fraudulent activities within Coupang platform. You will analyze transactional data, identify patterns of fraudulent behavior, and collaborate with cross-functional teams to continuously enhance our fraud prevention measures, while creating positive payment experience for our customers.
Key Responsibilities
– Design and implement fraud prevention strategies tailored to the specific risks and challenges of online payment transactions.
– Conduct thorough analyses of transactional data to identify patterns, trends, and anomalies indicative of fraudulent activity.
– Collaborate with data scientists and engineers to develop and deploy machine learning models and algorithms for fraud detection.
– Monitor Objectives and Key Results (OKR) related to fraud detection and prevention, and proactively adjust strategies to optimize effectiveness.
– Work closely with operation team to investigate suspected fraudulent transactions and take appropriate action.
– Generate reports and communicate findings to management, highlighting areas of concern and proposing actionable recommendations for improvement.
– Contribute to the construction and enhancement of our fraud platform, aiming to bolster fraud detection capabilities, while also fortifying the system's scalability and flexibility.
– Stay updated on emerging trends and technologies in fraud detection and prevention, and incorporate best practices into our processes and systems.
Qualifications
– 8+ years’ experience in fraud prevention or risk management.
– Master’s degree in a relevant field such as Computer Science, Data Science, Mathematics, or Statistics.
– Strong analytical skills with the ability to interpret complex data sets and draw actionable insights.
– Experience working in fast-paced and rapidly changing working environment.
– Proficiency in data analysis tools and programming languages such as Python, R, SQL, etc.
– Familiarity with machine learning techniques and algorithms for fraud detection (e.g., logistic regression, decision trees, random forests, neural networks, isolation forests, etc.).
– Excellent communication skills with the ability to effectively collaborate with cross-functional teams.
– Detail-oriented and self-motivated with a strong commitment to quality and continuous improvement.
– Experience with payments (particularly working with credit cards) is preferred
Recruitment Process and Others 
Recruitment Process  
- Application Review – Phone Interview – Onsite (or Virtual Onsite) Interview – Offer 
- The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. 
- Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. 
Details to Consider  
- This job posting may be closed prior to the stated end date for application if all openings are filled.    
- Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.    
- Coupang does not discriminate against disabled applicants or those with veteran status. We are proud to offer equal opportunities for all applicants. 
- Job titles and responsibilities may be subject to change depending on the candidate’s overall experience, etc. This will be communicated to the candidate at the appropriate time before the offer.
Privacy Notice 
- Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. 
- https://www.coupang.jobs/en/privacy-policy/
