Engineering Manager, Risk

San Jose, USA
Full time
Office
Compensation is not specified
Role
Engineering Manager
Description

Who We Are

The innovative advancements by OKX are transforming global systems through their state-of-the-art digital asset exchange, Web3 portal, and blockchain ecosystems. The organization is dedicated to fostering a more equitable, transparent, and inclusive society through blockchain technology, with over 50 million users, 3000+ staff members, and support from 180+ countries who share this vision. With a strong commitment to safety and reliability backed by Proof of Reserves, OKX proudly collaborates with partners associated with Arts and Sports.

About the Opportunity

The Risk Engineering team at OKX US Engineering, located in San Jose, is responsible for identifying, preventing, and managing payment risks. This team has experienced rapid growth and is continuing to expand. An enthusiastic engineering manager is sought to lead the OKBrain Infra and ML team. As the team progresses in developing pipelines and ML models, this role presents an exceptional opportunity to drive significant impacts. If you thrive on delivering outcomes, enjoy a dynamic work environment, and are passionate about combating payment fraud, we invite you to join us on an exciting journey of growth at OKX.

What You’ll Be Doing 

  • Leading the establishment and management of the OKBrain Infra and ML team at OKX

  • Collaborating with product and organizational objectives, and working closely with cross-functional teams to achieve key milestones

  • Crafting a long-term technical roadmap aligned with the goals of the Risk Engineering organization

  • Steering system design and providing technical solutions for data pipelines and ML models

    • Devising and implementing risk data flows for data collection and storage, as well as tools for monitoring and issue resolution

    • Developing the feature store and delivering feature data to end-users

    • Implementing effective labeling processes, quality measurement procedures, and tooling support

    • Building infrastructure to support ML development, testing, and deployment

    • Creating ML models for assessing payment risks based on defined metrics from product, data science, and engineering teams

    • Establishing a sampling process to enhance the performance of ML models iteratively

What We Look For In You 

  • Minimum of 8 years of industry experience, including 3-5 years of managing teams of 5-10 individuals

  • At least 3 years of experience in ML development, with proficient skills in pipeline development and model training

  • Comfortable with a 50% management and 50% hands-on split, utilizing Python for ML or Java for infrastructure

  • Proficient in system design, coding, and code review, especially in preparation for code releases

  • Results-oriented and data-driven mindset

Nice to Haves

  • Experience in the global payment risk sector

  • Fluency in Mandarin

Perks & Benefits 

  • Competitive total compensation package

  • Learning & Development programs, along with education subsidies for employee growth

  • Diverse team-building activities and company events

  • Wellness and meal allowances

  • Comprehensive healthcare coverage for employees and their dependents

OKX Statement

The mentioned salary range for this role is $235,000 to $330,000 but could vary depending on several factors including skills, knowledge, experience, and market location. In addition to the base salary, eligible candidates may receive performance bonuses and long-term incentives as part of the compensation package, in conjunction with a range of medical, financial, and wellbeing benefits. OKX promotes equal employment opportunities regardless of various factors and welcomes applicants through the internal or external careers site. Compliance with employment laws concerning fair chance ordinances is taken seriously, considering applicants with criminal records.

Skills Required
Avatar
OKX
Company size
Not specified
Location
United States
Description
Not specified

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