Senior Crypto Fraud Risk Data Scientist

Unchain Data; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

OKX in Singapore is looking for a Senior Data Scientist, Risk to provide strategic analytics, modeling, and investigations to identify fraud patterns and protect the platform. The role requires defining problems, researching state-of-the-art techniques, and delivering timely recommendations that drive business results.

You will collaborate with product and engineering, lead key initiatives, and communicate findings to both technical and non-technical audiences, leveraging GBM/XGBoost/LGBM and a

Qualifications

• Master's degree (or PhD) in Statistics, Mathematics, Operations Research, Computer Science, Economics, Engineering or other quantitative discipline.
• 4+ years of fraud analytics experience in financial services or FinTechs.
• Crypto/Blockchain experience.
• Deep understanding of modern machine learning techniques / algorithms including GBM, XGBoost, LGBM, etc. Advanced programming skills in SQL, R, Python, etc.
• Successful track record of owning and driving large, complex data analysis projects.
• Demonstrated capacity for innovation and outside-the-box thinking in unstructured or exploratory work.
• Experience in a fast-paced startup environment with initiative.
• Ability and willingness to travel as needed.
• Strong communicator in both writing and speaking.
• Multi-tasking and strong project management skills.

Responsibilities

• Identify complex fraud patterns and their technical root causes through detailed data mining and analysis.
• Serve as technical SME by sharing new data mining techniques and interfacing with partner technology teams.
• Communicate analytical findings to both technical and non-technical audiences across stakeholders.
• Provide technical guidance for engineering projects that incorporate new data points.
• Link Analysis/Graph analytics to detect deeply-connected fraud networks.
• Use unsupervised learning to augment existing supervised models or detect portfolio anomalies.
• Develop machine learning models.
• Partner with product and engineering to implement features and models.

Skills

Fraud analytics

Crypto/Blockchain

ML algorithms

Python

R

SQL

Data mining

Communication

Project management

Startup experience

Education

Master's degree or PhD in a quantitative field

PhD in a quantitative discipline

Tools

GBM

XGBoost

LightGBM

SQL

Python

R

Job description

OKX in Singapore is looking for a Senior Data Scientist, Risk to provide strategic analytics, modeling, and investigations to identify fraud patterns and protect the platform. The role requires defining problems, researching state-of-the-art techniques, and delivering timely recommendations that drive business results.

You will collaborate with product and engineering, lead key initiatives, and communicate findings to both technical and non-technical audiences, leveraging GBM/XGBoost/LGBM and a