8 Analytical Thinking jobs in Hong Kong

Join to apply for the Growth Strategy Manager (Data Analysis) role at OKX

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Join to apply for the Growth Strategy Manager (Data Analysis) role at OKX

Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.

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.
What You’ll Be Doing
业务核心数据分析

• 主导核心业务线分析，建立并持续优化分析框架与指标体系
• 通过归因分析、AB测试等方法，量化评估运营策略与资源投入ROI
• 输出可落地的增长建议并推动实施
  

• 独立对接产品线，基于数据分析推动产品迭代
• 与跨部门协作开发数据工具/看板，提升决策效率
  

• 运用Python/SQL实现分析自动化，结合AI工具提升分析深度
• 将统计理论转化为业务可理解的决策依据
  

• Own end-to-end analytics for core business verticals, developing and iteratively improving analytical frameworks with measurable KPIs
• Quantify strategy effectiveness and ROI through attribution modeling, A/B testing, and statistical analysis
• Deliver executable growth recommendations with implementation plans
  

• Partner with product teams to enable data-driven iterations
• Build dashboards and analytical tools via cross-functional collaboration
  

• Automate analyses using Python/SQL while enhancing methods with AI tools
• Transform statistical insights into actionable business guidance
  

• 统招本科及以上学历，理工/商科背景，3+年商业分析经验
• 具备完整AB测试落地案例
• 拥有体系化的大型增长活动分析经验
  

• 精通：SQL+Excel+统计分析
• 优先：Python(自动化处理)+BI工具(DataWind/Tableau/PowerBI)
  

• 能独立完成"问题定位-分析-推动解决"闭环
• 持续学习AI等新技术并转化应用
  

• Bachelor's+ in quantitative/business field
• 3+ years in business analytics
• Proven A/B testing experience (case study required)
• Structured large-scale campaign analysis experience (full-cycle framework required)
• Fluent in Chinese and English is a must to interact with different stakeholders
  

• Required: Advanced SQL, Excel, statistical analysis
• Preferred: Python (Pandas), BI tools (Tableau/Power BI/DataWind)
  

• End-to-end ownership of analytical projects
• Continuous adoption of emerging tech (AI/ML)
  

• 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!

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Business Development, Marketing, and Product Management
• Industries IT Services and IT Consulting

Referrals increase your chances of interviewing at OKX by 2x

Get notified about new Strategy Manager jobs in Hong Kong, Hong Kong SAR .

Kwun Tong District, Hong Kong SAR 2 days ago

Hong Kong, Hong Kong SAR HK$50,000.00-HK$55,000.00 2 weeks ago

Wan Chai District, Hong Kong SAR 2 months ago

Kwun Tong District, Hong Kong SAR 1 month ago

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Overview

Officer to Manager (Regtech Project Management and Data Analysis), Administration and Systems at Industrial and Commercial Bank of China (Asia) Limited.

Industrial and Commercial Bank of China (Asia) Limited ("ICBC (Asia)") is the flagship of overseas business of Industrial and Commercial Bank of China Limited ("ICBC") – currently the largest commercial bank in China, and it is one of the domestic systemically important banks (D-SIBs) in Hong Kong. ICBC (Asia) has 52 retail outlets (including 27 "Elite Club" Wealth Management Centres) in Hong Kong and engages in commercial banking, investment banking and other financial services, including securities, insurance and funds, with a focus on commercial and retail banking as well as global market business. Chinese Mercantile Bank and ICBC Asset Management (Global) Company Limited are wholly owned subsidiaries of ICBC (Asia).

• Lead the Regtech project related to financial crime compliance.
• Oversee the FCC systems and data models related to AML, anti-fraud and sanctions, proposing optimization suggestions to improve the efficiency and effectiveness of FCC system.
• Use data science analysis to work with advanced Regtech tools for anti-money laundering (AML), anti-fraud and sanction control measures.
• Lead the management of FCC data. Keep improving data strategies, ensure CDD/KYC data is accurate and high-quality.
• Train staff on how to use FCC systems, tools, and understand data.
• Handle ad-hoc project/task assigned by Team Head.

• University degree in computer science, math, statistics or finance.
• At least 2 years of experience in IT project management or data analysis.
• AML certifications (e.g., CAMS or AAMLP) are preferable.
• Good presentation and writing skills in both Chinese and English.
• Strong sense of teamwork and responsibility.

Interested parties, please click "Apply Now" for application. Personal data collected will be used for recruitment purpose only.

• Entry level

• Full-time

• Finance and Information Technology

• Banking

Referrals increase your chances of interviewing at Industrial and Commercial Bank of China by 2x

Officer to Manager (Regtech Project Management and Data Analysis), Administration and Systems at Industrial and Commercial Bank of China (Asia) Limited.

Industrial and Commercial Bank of China (Asia) Limited ("ICBC (Asia)") is the flagship of overseas business of Industrial and Commercial Bank of China Limited ("ICBC") – currently the largest commercial bank in China, and it is one of the domestic systemically important banks (D-SIBs) in Hong Kong. ICBC (Asia) has 52 retail outlets (including 27 "Elite Club" Wealth Management Centres) in Hong Kong and engages in commercial banking, investment banking and other financial services, including securities, insurance and funds, with a focus on commercial and retail banking as well as global market business. Chinese Mercantile Bank and ICBC Asset Management (Global) Company Limited are wholly owned subsidiaries of ICBC (Asia).

• Lead the Regtech project related to financial crime compliance.
• Oversee the FCC systems and data models related to AML, anti-fraud and sanctions, proposing optimization suggestions to improve the efficiency and effectiveness of FCC system.
• Use data science analysis to work with advanced Regtech tools for anti-money laundering (AML), anti-fraud and sanction control measures.
• Lead the management of FCC data. Keep improving data strategies, ensure CDD/KYC data is accurate and high-quality.
• Train staff on how to use FCC systems, tools, and understand data.
• Handle ad-hoc project/task assigned by Team Head.

• University degree in computer science, math, statistics or finance.
• At least 2 years of experience in IT project management or data analysis.
• AML certifications (e.g., CAMS or AAMLP) are preferable.
• Good presentation and writing skills in both Chinese and English.
• Strong sense of teamwork and responsibility.

Interested parties, please click "Apply Now" for application. Personal data collected will be used for recruitment purpose only.

• Entry level

• Full-time

• Finance and Information Technology

• Banking

Referrals increase your chances of interviewing at Industrial and Commercial Bank of China by 2x

Senior Data Engineer, Anti Financial Crime (Business Analysis Manager)

OKX is a leading crypto exchange and the developer of OKX Wallet, providing millions access to crypto trading and dApps. OKX is backed by its core principles: We Before Me, Do the Right Thing, and Get Things Done. OKX is part of OKG, a group delivering blockchain value globally via OKX, OKX Wallet, OKLink and more.

• Explore the data landscape: profile on-chain, off-chain, fiat and KYC datasets to understand structures, gaps and lineage. Document findings for downstream engineering teams.
• Prototype features for ML & rules: translate typologies and investigator hypotheses into measurable candidate variables (e.g., velocity, counterparty risk scores, graph metrics) using SQL/Python and big data.
• Validate data quality & drift: run one-off QC checks, anomaly detection and basic stratified sampling to confirm a feature’s stability before production hand-off.
• Collaborate with modelers & investigators: iterate quickly on feature definitions, and refine logic based on model performance and investigative feedback.
• Maintain a living feature catalogue: version each prototype, capture business meaning, lineage and sample metrics so production data engineers can industrialize it.
• Support regulatory look-backs & ad-hoc research: replay historical data, craft quick queries and surface insights that help Compliance and Compliance Product teams respond to audits or enforcement actions.
• Stay current: monitor emerging AML data-science techniques (graph ML, LLM embeddings, anomaly detection) and assess their applicability to crypto and fiat monitoring.

• 4+ years in data engineering / analytics with hands-on feature-engineering and exploratory data analysis; AML or broader compliance experience is a plus.
• Expertise in SQL and Python (Pandas, PySpark, or similar) within notebook workflows, plus hands-on experience with big data stacks such as Spark/Hadoop, Databricks and Alibaba DataWorks.
• Solid grounding in machine-learning fundamentals (supervised, unsupervised, evaluation metrics) and how features impact model performance.
• Experience translating AML / regulatory concepts into quantitative features—e.g., structuring, layering, sanctions exposure.
• Strong exploratory mindset: you’re comfortable with messy, ambiguous data and love turning it into structured insight.
• Effective communicator who can collaborate with downstream data engineers and data scientists and explain feature logic to investigators and auditors.
• Ability to work collaboratively in a fast-paced, dynamic environment.
• Self-directed, curious, and hungry to experiment with new data sources — blockchain analytics, vendor feeds, public datasets.
• Bonus: Working knowledge of the crypto ecosystem, VASP regulations, and typical AML data flows (KYT, KYC, TM, case management).

• 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!

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.

• Mid-Senior level

• Full-time

• Product Management

• IT Services and IT Consulting

Get notified about new Senior Data Engineer jobs in Hong Kong, Hong Kong SAR.

Senior Data Analytics Engineer, Compliance (Senior Business Analysis Manager)

OKX is seeking a highly skilled Senior Data Analytics Engineer (Senior Business Analysis Manager) to join the data team. This role involves designing and managing data architecture to support scalable, robust, and secure data operations, with a focus on optimizing data flow and storage for real-time and batch-processing data systems.

• Serve as a data analytics engineer expert, providing insights to support financial crime operations and enhance the effectiveness of compliance detection and monitoring systems.
• Analyze vast datasets to identify trends, patterns, and potential financial crime indicators, enhancing detection and monitoring capabilities.
• Design robust features to support advanced analytics and machine learning models.
• Collaborate with cross-functional teams, including legal and regulatory departments, to ensure operations adhere to industry regulations and standards.
• Participate in Anti-Money Laundering (AML) risk assessments and audits, contributing to the identification and mitigation of compliance risks.
• Communicate findings, compliance-related metrics, and data-driven insights to stakeholders, including senior leadership and compliance officers.
• Assist in optimizing data workflows and processes to improve the accuracy and efficiency of compliance reporting and monitoring.
• Stay informed on advancements in data analytics, compliance practices, and trends in the financial services industry.

• 5 years of experience in data analytics, data engineering or a related role, with exposure to compliance or financial services.
• Hands-on experience with big data and cloud technologies such as Hadoop, Hive, MaxCompute, Google BigQuery, or equivalent platforms.
• Strong knowledge of SQL, Spark or equivalent and distributed computing frameworks (e.g., Hadoop).
• Proficiency in data analytics tools and languages such as Python or equivalent.
• Experience in building and maintaining dashboards using tools like Tableau, Amplitude, Qlik Sense, or similar platforms.
• Strong analytical and problem-solving skills, with the ability to draw insights and make strategic recommendations based on data.
• Familiarity with AML and regulatory compliance concepts, and the application of analytics to support these areas.
• Excellent communication skills and the ability to present complex data findings to stakeholders, including compliance teams and senior leadership.
• Collaborative and adaptable mindset, thriving in fast-paced and dynamic work environments.
• A proactive, self-motivated approach with a commitment to continuous learning and development.
• Knowledge of the crypto industry and related regulatory requirements, including licensing and audits, is a plus but not required.

• Competitive total compensation package
• L&D programs and Education subsidy for growth and development
• Various team-building programs and company events
• Wellness and meal allowances
• Comprehensive healthcare schemes for employees and dependants
• More details provided during the process

Information collected and processed as part of the recruitment process is subject to OKX's Candidate Privacy Notice.

• Mid-Senior level

• Full-time

• Product Management

• IT Services and IT Consulting

Note: This listing reflects open roles and responsibilities associated with the Senior Data Analytics Engineer, Compliance position and does not imply any guarantees of employment or hiring status.

OKX is a leading crypto exchange and the developer of OKX Wallet, providing millions access to crypto trading and dApps. OKX is backed by its core principles: We Before Me, Do the Right Thing, and Get Things Done. OKX is part of OKG, a group delivering blockchain value globally via OKX, OKX Wallet, OKLink and more.

• Explore the data landscape: profile on-chain, off-chain, fiat and KYC datasets to understand structures, gaps and lineage. Document findings for downstream engineering teams.
• Prototype features for ML & rules: translate typologies and investigator hypotheses into measurable candidate variables (e.g., velocity, counterparty risk scores, graph metrics) using SQL/Python and big data.
• Validate data quality & drift: run one-off QC checks, anomaly detection and basic stratified sampling to confirm a feature’s stability before production hand-off.
• Collaborate with modelers & investigators: iterate quickly on feature definitions, and refine logic based on model performance and investigative feedback.
• Maintain a living feature catalogue: version each prototype, capture business meaning, lineage and sample metrics so production data engineers can industrialize it.
• Support regulatory look-backs & ad-hoc research: replay historical data, craft quick queries and surface insights that help Compliance and Compliance Product teams respond to audits or enforcement actions.
• Stay current: monitor emerging AML data-science techniques (graph ML, LLM embeddings, anomaly detection) and assess their applicability to crypto and fiat monitoring.

• 4+ years in data engineering / analytics with hands-on feature-engineering and exploratory data analysis; AML or broader compliance experience is a plus.
• Expertise in SQL and Python (Pandas, PySpark, or similar) within notebook workflows, plus hands-on experience with big data stacks such as Spark/Hadoop, Databricks and Alibaba DataWorks.
• Solid grounding in machine-learning fundamentals (supervised, unsupervised, evaluation metrics) and how features impact model performance.
• Experience translating AML / regulatory concepts into quantitative features—e.g., structuring, layering, sanctions exposure.
• Strong exploratory mindset: you’re comfortable with messy, ambiguous data and love turning it into structured insight.
• Effective communicator who can collaborate with downstream data engineers and data scientists and explain feature logic to investigators and auditors.
• Ability to work collaboratively in a fast-paced, dynamic environment.
• Self-directed, curious, and hungry to experiment with new data sources — blockchain analytics, vendor feeds, public datasets.
• Bonus: Working knowledge of the crypto ecosystem, VASP regulations, and typical AML data flows (KYT, KYC, TM, case management).

• 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!

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.

• Mid-Senior level

• Full-time

• Product Management

• IT Services and IT Consulting

Get notified about new Senior Data Engineer jobs in Hong Kong, Hong Kong SAR.

OKX is seeking a highly skilled Senior Data Analytics Engineer (Senior Business Analysis Manager) to join the data team. This role involves designing and managing data architecture to support scalable, robust, and secure data operations, with a focus on optimizing data flow and storage for real-time and batch-processing data systems.

• Serve as a data analytics engineer expert, providing insights to support financial crime operations and enhance the effectiveness of compliance detection and monitoring systems.
• Analyze vast datasets to identify trends, patterns, and potential financial crime indicators, enhancing detection and monitoring capabilities.
• Design robust features to support advanced analytics and machine learning models.
• Collaborate with cross-functional teams, including legal and regulatory departments, to ensure operations adhere to industry regulations and standards.
• Participate in Anti-Money Laundering (AML) risk assessments and audits, contributing to the identification and mitigation of compliance risks.
• Communicate findings, compliance-related metrics, and data-driven insights to stakeholders, including senior leadership and compliance officers.
• Assist in optimizing data workflows and processes to improve the accuracy and efficiency of compliance reporting and monitoring.
• Stay informed on advancements in data analytics, compliance practices, and trends in the financial services industry.

• 5 years of experience in data analytics, data engineering or a related role, with exposure to compliance or financial services.
• Hands-on experience with big data and cloud technologies such as Hadoop, Hive, MaxCompute, Google BigQuery, or equivalent platforms.
• Strong knowledge of SQL, Spark or equivalent and distributed computing frameworks (e.g., Hadoop).
• Proficiency in data analytics tools and languages such as Python or equivalent.
• Experience in building and maintaining dashboards using tools like Tableau, Amplitude, Qlik Sense, or similar platforms.
• Strong analytical and problem-solving skills, with the ability to draw insights and make strategic recommendations based on data.
• Familiarity with AML and regulatory compliance concepts, and the application of analytics to support these areas.
• Excellent communication skills and the ability to present complex data findings to stakeholders, including compliance teams and senior leadership.
• Collaborative and adaptable mindset, thriving in fast-paced and dynamic work environments.
• A proactive, self-motivated approach with a commitment to continuous learning and development.
• Knowledge of the crypto industry and related regulatory requirements, including licensing and audits, is a plus but not required.

• Competitive total compensation package
• L&D programs and Education subsidy for growth and development
• Various team-building programs and company events
• Wellness and meal allowances
• Comprehensive healthcare schemes for employees and dependants
• More details provided during the process

Information collected and processed as part of the recruitment process is subject to OKX's Candidate Privacy Notice.

• Mid-Senior level

• Full-time

• Product Management

• IT Services and IT Consulting

Note: This listing reflects open roles and responsibilities associated with the Senior Data Analytics Engineer, Compliance position and does not imply any guarantees of employment or hiring status.