Senior Data Scientist, Fraud Risk & Graph ML

Unchain Data

San Jose (CA)

Hybrid

USD 224,000 - 268,000

Full time

14 days+
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Benefits offered by this job

Competitive total compensation
L&D & Education subsidy
Team building programs
Wellness and meal allowances
Comprehensive healthcare for employees

Job summary

OKX, a leading crypto exchange, is seeking a Sr Data Scientist, Risk to provide strategic analytical leadership. You will identify fraud patterns, develop models, and guide engineering integrations while communicating insights to technical and non-technical partners in a fast-paced environment.

Ideal candidates have 4+ years in fraud analytics within FinTech, deep ML knowledge (GBM/XGBoost/LGBM), and crypto experience. Willingness to travel and strong communication complete the profile.

Qualifications

  • Master's degree (or PhD) in a quantitative field; Bachelor's with significant relevant experience considered.
  • 4+ years of fraud analytics experience in financial services or FinTech.
  • Crypto/Blockchain experience.
  • Deep understanding of modern ML techniques and algorithms (GBM, XGBoost, LGBM).
  • Advanced programming skills in SQL, R, Python.
  • Strong track record of owning large, complex data analysis projects.
  • Demonstrated capacity for innovation and exploratory thinking.
  • Experience in a fast-paced startup environment with initiative.
  • Ability and willingness to travel; strong written and verbal communication.
  • Multi-tasking and robust project management skills.

Responsibilities

  • Identify complex fraud patterns and their technical root causes through data mining and analysis.
  • Serve as technical SME by sharing new data mining techniques and interfacing with partner teams.
  • Communicate analytical findings to technical and non-technical audiences.
  • Provide technical guidance for engineering projects incorporating new data points.
  • Link Analysis/Graph analytics to detect fraud networks and new accounts.
  • Apply unsupervised learning to augment supervised models or detect anomalies.
  • Develop machine learning models.
  • Collaborate with product and engineering to implement features and models.

Skills

Fraud analytics
Crypto/Blockchain
Machine learning
Programming: SQL/R/Python
Project management
Communication skills
Startup experience

Education

Master's/PhD in quantitative field
Bachelor's with relevant experience

Tools

GBM/XGBoost/LGBM
SQL
Python

Job description

OKX, a leading crypto exchange, is seeking a Sr Data Scientist, Risk to provide strategic analytical leadership. You will identify fraud patterns, develop models, and guide engineering integrations while communicating insights to technical and non-technical partners in a fast-paced environment.

Ideal candidates have 4+ years in fraud analytics within FinTech, deep ML knowledge (GBM/XGBoost/LGBM), and crypto experience. Willingness to travel and strong communication complete the profile.

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