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Engineering Manager Risk
at OKX
3 months ago | 316 views | 1 applications

Engineering Manager Risk

San Francisco
Per year
$129,000 To $180,000

About the company

About OKX OKX is a leading crypto trading app, and a Web3 ecosystem. Trusted by more than 20 million global customers in over 180 international markets, OKX is known for being the fastest and most reliable crypto trading app of choice for investors and professional traders globally. Our Singapore office is a Product and Engineering hub and we are in the progress of expanding our teams in Singapore for the continuous growth of our global business. We build and maintain core trading platform with millions of daily active users. Design, Product and Engineering teams work cross-functionally to identify customer needs, and ship high-quality new features through fast iterations.

Job Summary

What You’ll Be Doing

📍Responsible for building up and managing the OKBrain Infra and ML team at OKX 📍Align with product and org objectives, and coordinate with XFN teams on delivering key results 📍Define long term technical roadmap for the team that is aligned with Risk Engineering org 📍Responsible for system design and technical solutions of data pipelines and ML models 📍Design and develop the risk data flows to collect and store data, tools to monitor and troubleshoot issues 📍Design and develop the feature store, provide feature data to consumers 📍Establish efficient labeling process, quality measurement process, and tooling support 📍Build the infrastructure to facilitate ML development, testing, and release 📍Develop ML models to measure payment risks, driven by key metrics defined by PM/DS/Eng 📍Build sampling process to iteratively improve the ML models performance

What We Look For In You

📍8+ years of industry experience including 3 - 5 years of people management experience leading a team of 5 - 10. 📍At least 3 years experience in ML development. 📍Proficient in developing pipeline and training models. 📍Comfortable with 50% management and 50% hands on with Python for ML or Java for Infra. 📍Comfortable with system design, coding, and code review, especially during code release time. 📍Results driven and data driven.

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