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Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity
What You’ll Be Doing -
Platform Planning & System Design:
-
Lead end-to-end design and iteration of a company-wide data governance platform, driving cross-team collaboration standards to resolve data consistency and workflow efficiency challenges.
-
Build a high-reliability data labeling system to enable rapid business response and dynamic risk management across scenarios.
-
Develop a unified feature platform that consolidates multi-department requirements (e.g., risk control, compliance, growth) into standardized yet adaptable feature repositories.
-
Advanced Risk Control Capability Development:
-
Design scalable data correlation rules and automated analysis mechanisms to address business needs (e.g., compliance review, anomalous behavior detection).
-
Spearhead cross-dimensional data analysis (on-chain/off-chain) to enhance risk identification coverage and precision.
-
Algorithm Model & Strategy Collaboration:
-
Partner with algorithm teams to develop high-accuracy risk detection models (e.g., anomaly pattern recognition, dynamic confidence scoring) and drive their business integration.
-
Establish real-time data updates and feedback loops to optimize risk alert timeliness.
-
Industry-Level Solution Exploration:
-
Research cutting-edge technologies (e.g., decentralized data governance, privacy-preserving computation) to pioneer innovative compliance and risk control applications.
What We Look For In You -
5+ years of experience at large-scale internet/fintech companies, with 5+ years focused on risk control systems, data labeling, or ML platform product management, including end-to-end ownership of complex system builds.
-
Proven ability to formulate product strategies, deliver solutions, and resolve cross-functional challenges.
-
Deep expertise in risk modeling methodologies and practical experience deploying ML algorithms (classification/clustering/graph neural networks) with algorithm teams.
-
Strong knowledge of data governance and compliance standards (e.g., AML), coupled with exceptional data sensitivity and logical abstraction skills.
-
Outstanding cross-department leadership to standardize processes and align stakeholders.
Nice to Haves -
Fluent in English with experience in multinational collaboration or technical documentation writing.
-
Background in top-tier exchanges, payment platforms, or compliance tech firms; familiarity with blockchain fundamentals.
-
Hands-on experience with big data risk architectures (real-time computing, graph databases) and high-concurrency system design.
-
Proficiency in Python/SQL for data-driven strategy validation.
-
Expertise in real-time feature engineering frameworks (e.g., Flink), distributed storage (e.g., HBase), or feature service architectures with performance optimization experience.
-
Knowledge of graph feature engineering (e.g., centrality metrics in address networks) or temporal pattern mining (e.g., transaction frequency analysis).
Perks & Benefits -
Competitive total compensation package
-
L&D programs and Education subsidy for employees' growth and development
-
Various team building programs and company events
-
Wellness and meal allowances
-
Comprehensive healthcare schemes for employees and dependants
-
More that we love to tell you along the process!
#LI-ONSITE
#LI-MX1
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX's Candidate Privacy Notice.
About the Opportunity
What You’ll Be Doing -
Platform Planning & System Design:
-
Lead end-to-end design and iteration of a company-wide data governance platform, driving cross-team collaboration standards to resolve data consistency and workflow efficiency challenges.
-
Build a high-reliability data labeling system to enable rapid business response and dynamic risk management across scenarios.
-
Develop a unified feature platform that consolidates multi-department requirements (e.g., risk control, compliance, growth) into standardized yet adaptable feature repositories.
-
Advanced Risk Control Capability Development:
-
Design scalable data correlation rules and automated analysis mechanisms to address business needs (e.g., compliance review, anomalous behavior detection).
-
Spearhead cross-dimensional data analysis (on-chain/off-chain) to enhance risk identification coverage and precision.
-
Algorithm Model & Strategy Collaboration:
-
Partner with algorithm teams to develop high-accuracy risk detection models (e.g., anomaly pattern recognition, dynamic confidence scoring) and drive their business integration.
-
Establish real-time data updates and feedback loops to optimize risk alert timeliness.
-
Industry-Level Solution Exploration:
-
Research cutting-edge technologies (e.g., decentralized data governance, privacy-preserving computation) to pioneer innovative compliance and risk control applications.
What We Look For In You -
5+ years of experience at large-scale internet/fintech companies, with 5+ years focused on risk control systems, data labeling, or ML platform product management, including end-to-end ownership of complex system builds.
-
Proven ability to formulate product strategies, deliver solutions, and resolve cross-functional challenges.
-
Deep expertise in risk modeling methodologies and practical experience deploying ML algorithms (classification/clustering/graph neural networks) with algorithm teams.
-
Strong knowledge of data governance and compliance standards (e.g., AML), coupled with exceptional data sensitivity and logical abstraction skills.
-
Outstanding cross-department leadership to standardize processes and align stakeholders.
Nice to Haves -
Fluent in English with experience in multinational collaboration or technical documentation writing.
-
Background in top-tier exchanges, payment platforms, or compliance tech firms; familiarity with blockchain fundamentals.
-
Hands-on experience with big data risk architectures (real-time computing, graph databases) and high-concurrency system design.
-
Proficiency in Python/SQL for data-driven strategy validation.
-
Expertise in real-time feature engineering frameworks (e.g., Flink), distributed storage (e.g., HBase), or feature service architectures with performance optimization experience.
-
Knowledge of graph feature engineering (e.g., centrality metrics in address networks) or temporal pattern mining (e.g., transaction frequency analysis).
Perks & Benefits -
Competitive total compensation package
-
L&D programs and Education subsidy for employees' growth and development
-
Various team building programs and company events
-
Wellness and meal allowances
-
Comprehensive healthcare schemes for employees and dependants
-
More that we love to tell you along the process!
#LI-ONSITE
#LI-MX1
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX's Candidate Privacy Notice.
Platform Planning & System Design:
-
Lead end-to-end design and iteration of a company-wide data governance platform, driving cross-team collaboration standards to resolve data consistency and workflow efficiency challenges.
-
Build a high-reliability data labeling system to enable rapid business response and dynamic risk management across scenarios.
-
Develop a unified feature platform that consolidates multi-department requirements (e.g., risk control, compliance, growth) into standardized yet adaptable feature repositories.
Advanced Risk Control Capability Development:
-
Design scalable data correlation rules and automated analysis mechanisms to address business needs (e.g., compliance review, anomalous behavior detection).
-
Spearhead cross-dimensional data analysis (on-chain/off-chain) to enhance risk identification coverage and precision.
Algorithm Model & Strategy Collaboration:
-
Partner with algorithm teams to develop high-accuracy risk detection models (e.g., anomaly pattern recognition, dynamic confidence scoring) and drive their business integration.
-
Establish real-time data updates and feedback loops to optimize risk alert timeliness.
Industry-Level Solution Exploration:
-
Research cutting-edge technologies (e.g., decentralized data governance, privacy-preserving computation) to pioneer innovative compliance and risk control applications.
What We Look For In You -
5+ years of experience at large-scale internet/fintech companies, with 5+ years focused on risk control systems, data labeling, or ML platform product management, including end-to-end ownership of complex system builds.
-
Proven ability to formulate product strategies, deliver solutions, and resolve cross-functional challenges.
-
Deep expertise in risk modeling methodologies and practical experience deploying ML algorithms (classification/clustering/graph neural networks) with algorithm teams.
-
Strong knowledge of data governance and compliance standards (e.g., AML), coupled with exceptional data sensitivity and logical abstraction skills.
-
Outstanding cross-department leadership to standardize processes and align stakeholders.
Nice to Haves -
Fluent in English with experience in multinational collaboration or technical documentation writing.
-
Background in top-tier exchanges, payment platforms, or compliance tech firms; familiarity with blockchain fundamentals.
-
Hands-on experience with big data risk architectures (real-time computing, graph databases) and high-concurrency system design.
-
Proficiency in Python/SQL for data-driven strategy validation.
-
Expertise in real-time feature engineering frameworks (e.g., Flink), distributed storage (e.g., HBase), or feature service architectures with performance optimization experience.
-
Knowledge of graph feature engineering (e.g., centrality metrics in address networks) or temporal pattern mining (e.g., transaction frequency analysis).
Perks & Benefits -
Competitive total compensation package
-
L&D programs and Education subsidy for employees' growth and development
-
Various team building programs and company events
-
Wellness and meal allowances
-
Comprehensive healthcare schemes for employees and dependants
-
More that we love to tell you along the process!
#LI-ONSITE
#LI-MX1
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX's Candidate Privacy Notice.
5+ years of experience at large-scale internet/fintech companies, with 5+ years focused on risk control systems, data labeling, or ML platform product management, including end-to-end ownership of complex system builds.
Proven ability to formulate product strategies, deliver solutions, and resolve cross-functional challenges.
Deep expertise in risk modeling methodologies and practical experience deploying ML algorithms (classification/clustering/graph neural networks) with algorithm teams.
Strong knowledge of data governance and compliance standards (e.g., AML), coupled with exceptional data sensitivity and logical abstraction skills.
Outstanding cross-department leadership to standardize processes and align stakeholders.
Nice to Haves -
Fluent in English with experience in multinational collaboration or technical documentation writing.
-
Background in top-tier exchanges, payment platforms, or compliance tech firms; familiarity with blockchain fundamentals.
-
Hands-on experience with big data risk architectures (real-time computing, graph databases) and high-concurrency system design.
-
Proficiency in Python/SQL for data-driven strategy validation.
-
Expertise in real-time feature engineering frameworks (e.g., Flink), distributed storage (e.g., HBase), or feature service architectures with performance optimization experience.
-
Knowledge of graph feature engineering (e.g., centrality metrics in address networks) or temporal pattern mining (e.g., transaction frequency analysis).
Fluent in English with experience in multinational collaboration or technical documentation writing.
Background in top-tier exchanges, payment platforms, or compliance tech firms; familiarity with blockchain fundamentals.
Hands-on experience with big data risk architectures (real-time computing, graph databases) and high-concurrency system design.
Proficiency in Python/SQL for data-driven strategy validation.
Expertise in real-time feature engineering frameworks (e.g., Flink), distributed storage (e.g., HBase), or feature service architectures with performance optimization experience.
Knowledge of graph feature engineering (e.g., centrality metrics in address networks) or temporal pattern mining (e.g., transaction frequency analysis).
Perks & Benefits -
Competitive total compensation package
-
L&D programs and Education subsidy for employees' growth and development
-
Various team building programs and company events
-
Wellness and meal allowances
-
Comprehensive healthcare schemes for employees and dependants
-
More that we love to tell you along the process!
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
#LI-ONSITE
#LI-MX1
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX's Candidate Privacy Notice.
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