171 Analytics Manager jobs in Hong Kong

Join to apply for the Claims Technical Analytics Manager role at AXA Hong Kong and Macau

1 week ago Be among the first 25 applicants

Join to apply for the Claims Technical Analytics Manager role at AXA Hong Kong and Macau

• Collaboration with Claims Technical Teams: Work alongside with the fraud investigation team to provide data insights that support investigations.
• Assist to identify, investigate, and analyze potential fraudulent life & health claims and activities
• Data Collection and Management: Gather and maintain comprehensive datasets related to life and health claims, ensuring data integrity and accuracy for analysis
• Data Analysis: Use statistical methods and data analytics tools to analyze claims data, identifying trends, patterns, and anomalies that can inform decision-making. Conduct statistical analyses to detect patterns indicative of fraud, waste, and abuse (FWA)
• Performance Metrics Development: Establish key performance indicators (KPIs) and metrics to evaluate the efficiency and effectiveness of the claims process, using data to drive improvements
• Predictive Analytics: Implement predictive modeling techniques to anticipate potential claims issues and outcomes, aiding in risk assessment and resource allocation
• Reporting and Visualization: Create dashboards and prepare detailed reports summarizing findings from data analyses, highlighting trends, anomalies, and areas of concern
• Process improvement: Work with IT and data science teams to develop and implement data-driven solutions for claims processing, including automation and machine learning applications.
• Stakeholder Communication: Present findings and insights to management and other stakeholders, translating complex data into actionable recommendations for claims strategy and operations.
• Training and Knowledge Sharing: Provide training and resources to claims staff on data analytics tools and techniques, fostering a data-driven culture within the claims department.
• Regulatory Compliance Monitoring: Use data to monitor compliance with industry regulations and internal policies related to claims handling, identifying areas for improvement.
• Assist to handle life & health claims and appeal cases
• Participate in assigned projects
  

• Collaboration with Claims Technical Teams: Work alongside with the fraud investigation team to provide data insights that support investigations.
• Assist to identify, investigate, and analyze potential fraudulent life & health claims and activities
• Data Collection and Management: Gather and maintain comprehensive datasets related to life and health claims, ensuring data integrity and accuracy for analysis
• Data Analysis: Use statistical methods and data analytics tools to analyze claims data, identifying trends, patterns, and anomalies that can inform decision-making. Conduct statistical analyses to detect patterns indicative of fraud, waste, and abuse (FWA)
• Performance Metrics Development: Establish key performance indicators (KPIs) and metrics to evaluate the efficiency and effectiveness of the claims process, using data to drive improvements
• Predictive Analytics: Implement predictive modeling techniques to anticipate potential claims issues and outcomes, aiding in risk assessment and resource allocation
• Reporting and Visualization: Create dashboards and prepare detailed reports summarizing findings from data analyses, highlighting trends, anomalies, and areas of concern
• Process improvement: Work with IT and data science teams to develop and implement data-driven solutions for claims processing, including automation and machine learning applications.
• Stakeholder Communication: Present findings and insights to management and other stakeholders, translating complex data into actionable recommendations for claims strategy and operations.
• Training and Knowledge Sharing: Provide training and resources to claims staff on data analytics tools and techniques, fostering a data-driven culture within the claims department.
• Regulatory Compliance Monitoring: Use data to monitor compliance with industry regulations and internal policies related to claims handling, identifying areas for improvement.
• Assist to handle life & health claims and appeal cases
• Participate in assigned projects
  

• A bachelor’s degree in a relevant field such as finance, insurance, risk management, data science, statistics, or engineering. A master’s degree or professional certifications (e.g., CPCU, AIC, or other relevant qualifications) may be advantageous.
• At least 3 years’ experience in claims processing, management, or technical roles within the insurance industry, particularly in life and health claims.
• Familiarity with fraudulent and wasteful activities within claims, including experience in detection, investigation, and prevention.
• Proficiency in data analysis tools and programming languages (e.g., Excel, SQL, Python, R) and experience with data visualization software (e.g., Tableau, Power BI).
• Strong analytical and problem-solving abilities to interpret complex data sets and derive actionable insights.
• Understanding of industry regulations, compliance standards, and best practices related to claims management.
• Relevant certifications in data analytics or insurance (e.g., Certified Analytics Professional, Associate in Claims) can enhance credibility.
• Strong communication, leadership, and interpersonal skills to effectively manage teams and interact with various stakeholders.
  
  

• Seniority level Not Applicable

• Employment type Full-time

• Job function Research, Analyst, and Information Technology
• Industries Insurance

Referrals increase your chances of interviewing at AXA Hong Kong and Macau by 2x

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

Kwun Tong District, Hong Kong SAR 1 month ago

Kwun Tong District, Hong Kong SAR 2 months ago

Sha Tin District, Hong Kong SAR 5 days ago

Wan Chai District, Hong Kong SAR 2 months ago

Sha Tin District, Hong Kong SAR 2 weeks ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Join to apply for the Claims Technical Analytics Manager role at AXA Hong Kong and Macau

1 week ago Be among the first 25 applicants

Join to apply for the Claims Technical Analytics Manager role at AXA Hong Kong and Macau

• Collaboration with Claims Technical Teams: Work alongside with the fraud investigation team to provide data insights that support investigations.
• Assist to identify, investigate, and analyze potential fraudulent life & health claims and activities
• Data Collection and Management: Gather and maintain comprehensive datasets related to life and health claims, ensuring data integrity and accuracy for analysis
• Data Analysis: Use statistical methods and data analytics tools to analyze claims data, identifying trends, patterns, and anomalies that can inform decision-making. Conduct statistical analyses to detect patterns indicative of fraud, waste, and abuse (FWA)
• Performance Metrics Development: Establish key performance indicators (KPIs) and metrics to evaluate the efficiency and effectiveness of the claims process, using data to drive improvements
• Predictive Analytics: Implement predictive modeling techniques to anticipate potential claims issues and outcomes, aiding in risk assessment and resource allocation
• Reporting and Visualization: Create dashboards and prepare detailed reports summarizing findings from data analyses, highlighting trends, anomalies, and areas of concern
• Process improvement: Work with IT and data science teams to develop and implement data-driven solutions for claims processing, including automation and machine learning applications.
• Stakeholder Communication: Present findings and insights to management and other stakeholders, translating complex data into actionable recommendations for claims strategy and operations.
• Training and Knowledge Sharing: Provide training and resources to claims staff on data analytics tools and techniques, fostering a data-driven culture within the claims department.
• Regulatory Compliance Monitoring: Use data to monitor compliance with industry regulations and internal policies related to claims handling, identifying areas for improvement.
• Assist to handle life & health claims and appeal cases
• Participate in assigned projects
  

• Collaboration with Claims Technical Teams: Work alongside with the fraud investigation team to provide data insights that support investigations.
• Assist to identify, investigate, and analyze potential fraudulent life & health claims and activities
• Data Collection and Management: Gather and maintain comprehensive datasets related to life and health claims, ensuring data integrity and accuracy for analysis
• Data Analysis: Use statistical methods and data analytics tools to analyze claims data, identifying trends, patterns, and anomalies that can inform decision-making. Conduct statistical analyses to detect patterns indicative of fraud, waste, and abuse (FWA)
• Performance Metrics Development: Establish key performance indicators (KPIs) and metrics to evaluate the efficiency and effectiveness of the claims process, using data to drive improvements
• Predictive Analytics: Implement predictive modeling techniques to anticipate potential claims issues and outcomes, aiding in risk assessment and resource allocation
• Reporting and Visualization: Create dashboards and prepare detailed reports summarizing findings from data analyses, highlighting trends, anomalies, and areas of concern
• Process improvement: Work with IT and data science teams to develop and implement data-driven solutions for claims processing, including automation and machine learning applications.
• Stakeholder Communication: Present findings and insights to management and other stakeholders, translating complex data into actionable recommendations for claims strategy and operations.
• Training and Knowledge Sharing: Provide training and resources to claims staff on data analytics tools and techniques, fostering a data-driven culture within the claims department.
• Regulatory Compliance Monitoring: Use data to monitor compliance with industry regulations and internal policies related to claims handling, identifying areas for improvement.
• Assist to handle life & health claims and appeal cases
• Participate in assigned projects
  

• A bachelor’s degree in a relevant field such as finance, insurance, risk management, data science, statistics, or engineering. A master’s degree or professional certifications (e.g., CPCU, AIC, or other relevant qualifications) may be advantageous.
• At least 3 years’ experience in claims processing, management, or technical roles within the insurance industry, particularly in life and health claims.
• Familiarity with fraudulent and wasteful activities within claims, including experience in detection, investigation, and prevention.
• Proficiency in data analysis tools and programming languages (e.g., Excel, SQL, Python, R) and experience with data visualization software (e.g., Tableau, Power BI).
• Strong analytical and problem-solving abilities to interpret complex data sets and derive actionable insights.
• Understanding of industry regulations, compliance standards, and best practices related to claims management.
• Relevant certifications in data analytics or insurance (e.g., Certified Analytics Professional, Associate in Claims) can enhance credibility.
• Strong communication, leadership, and interpersonal skills to effectively manage teams and interact with various stakeholders.
  

• Seniority level Not Applicable

• Employment type Full-time

• Job function Research, Analyst, and Information Technology
• Industries Insurance

Referrals increase your chances of interviewing at AXA Hong Kong and Macau by 2x

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

Kwun Tong District, Hong Kong SAR 1 month ago

Kwun Tong District, Hong Kong SAR 2 months ago

Sha Tin District, Hong Kong SAR 5 days ago

Wan Chai District, Hong Kong SAR 2 months ago

Sha Tin District, Hong Kong SAR 2 weeks ago

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Join to apply for the Manager, Data Analytics role at Prudential Hong Kong

1 day ago Be among the first 25 applicants

Join to apply for the Manager, Data Analytics role at Prudential Hong Kong

Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people’s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.

Job Responsibilities

• Conduct thorough analysis of customer and distribution channel data to identify opportunities for business growth, customer acquisition, cross-selling, upselling, retention, and maximizing customer value.
• Collaborate with internal stakeholders to gather business requirements and ensure the seamless integration of analytics for timely, insight-driven decision-making in business projects.
• Transform business questions into actionable analysis and provide data-driven recommendations to drive decision-making.
• Develop advanced analytics and machine learning-based solutions to enhance the effectiveness of analytics and modeling, utilizing machine learning techniques and unstructured data such as digital footprints.
• Create a comprehensive and efficient framework for end-to-end business analytics and data visualization.
• Work closely with the IT department to ensure the security, scalability, and integration of data solutions with existing systems and infrastructure.
• Collaborate with external partners, vendors, and IT to ensure the successful application and continuous improvement of data models and analytics tools.
• Explore the availability, access, transformation, and use of structured and unstructured data for customer and channel analytics purposes.
• Develop a customer and channel analytics data foundation and enable behavioral analytics deliverables to business units.
  
  
  

• Degree holder in Computer Science, Decision Science, Mathematics, Econometrics, Actuarial Science, Marketing Analytics or Statistics
• Minimum 5 years of working experience in data analytics, with a minimum 3 years of experience in insurance industry
• Hands-on experience in machine learning & advanced analytics
• Hands-on experience in developing and executing large scale analytics deliverables / projects in Financial Services Industry
• Proven experience in driving analytics strategy and business results
• Ability to build strong stakeholders' relationships through thorough understanding of business requirements and the ability to analyze issues to find effective solutions
• Knowledge in data infrastructure and experience in vendor management
• Solid experience in Python & SQL is a must
• Experience in PowerBI is a plus
• Strong presentation, communication, interpersonal skills and a good team player
• Proficiency in English and Chinese (both Cantonese and Mandarin）
  
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology

Referrals increase your chances of interviewing at Prudential Hong Kong by 2x

Wan Chai District, Hong Kong SAR 2 months ago

Central & Western District, Hong Kong SAR 2 months ago

Hong Kong, Hong Kong SAR HK$55,000.00-HK$75,000.00 1 week ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Join to apply for the Manager, Data Analytics role at Prudential Hong Kong

1 day ago Be among the first 25 applicants

Join to apply for the Manager, Data Analytics role at Prudential Hong Kong

Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people’s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.
Job Responsibilities

• Conduct thorough analysis of customer and distribution channel data to identify opportunities for business growth, customer acquisition, cross-selling, upselling, retention, and maximizing customer value.
• Collaborate with internal stakeholders to gather business requirements and ensure the seamless integration of analytics for timely, insight-driven decision-making in business projects.
• Transform business questions into actionable analysis and provide data-driven recommendations to drive decision-making.
• Develop advanced analytics and machine learning-based solutions to enhance the effectiveness of analytics and modeling, utilizing machine learning techniques and unstructured data such as digital footprints.
• Create a comprehensive and efficient framework for end-to-end business analytics and data visualization.
• Work closely with the IT department to ensure the security, scalability, and integration of data solutions with existing systems and infrastructure.
• Collaborate with external partners, vendors, and IT to ensure the successful application and continuous improvement of data models and analytics tools.
• Explore the availability, access, transformation, and use of structured and unstructured data for customer and channel analytics purposes.
• Develop a customer and channel analytics data foundation and enable behavioral analytics deliverables to business units.
  

• Degree holder in Computer Science, Decision Science, Mathematics, Econometrics, Actuarial Science, Marketing Analytics or Statistics
• Minimum 5 years of working experience in data analytics, with a minimum 3 years of experience in insurance industry
• Hands-on experience in machine learning & advanced analytics
• Hands-on experience in developing and executing large scale analytics deliverables / projects in Financial Services Industry
• Proven experience in driving analytics strategy and business results
• Ability to build strong stakeholders' relationships through thorough understanding of business requirements and the ability to analyze issues to find effective solutions
• Knowledge in data infrastructure and experience in vendor management
• Solid experience in Python & SQL is a must
• Experience in PowerBI is a plus
• Strong presentation, communication, interpersonal skills and a good team player
• Proficiency in English and Chinese (both Cantonese and Mandarin）
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology

Referrals increase your chances of interviewing at Prudential Hong Kong by 2x

Wan Chai District, Hong Kong SAR 2 months ago

Central & Western District, Hong Kong SAR 2 months ago

Hong Kong, Hong Kong SAR HK$55,000.00-HK$75,000.00 1 week ago

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Direct message the job poster from The Bank of East Asia, Limited (BEA)

Responsibilities

• Manage Credit RWA analytics, system calculation, regulatory reporting including Pillar 3 disclosure, under Basel III final reform.
• Responsible for data analytics, risk management reporting and ad-hoc enquiries from regulators.
• Participate in system development projects and co-ordinate change request through the cycles, including providing user requirements, user acceptance test, and specifications updates.
• Liaise with vendors or consultants when taking part in ad-hoc risk projects or regulatory projects.
• Enhance and carry out internal control procedures on data governance and profiling, to meet with BCBS239 requirements.

Requirements

• University graduate in Statistics, Risk Management, Finance, Quantitative Analysis or related discipline
• Proficiency in Excel VBA, SQL and/or related analytic tools such as SAS
• Knowledge of Basel III and other regulatory reporting requirement is an advantage
• Good communication, analytical and problem solving skills
• A mature and good team player who can work independently and under pressure
• Proficiency in both spoken and written English and Chinese

Please apply online via the BEA Careers website at or by clicking the "Apply Now" button below. Kindly note that if you are a new user, you have to first create your User Profile before you can apply.

Personal data provided by job applicants will be used for recruitment purposes only and will be treated in accordance with the Bank's Personal Information Collection (Employees) Statement and Privacy Policy Statement. Applicants who are not invited for interviews within six weeks may consider their applications unsuccessful and the personal data collected will be destroyed after 1 year.

• Seniority level Associate

• Employment type Full-time

• Job function Accounting/Auditing, Finance, and Analyst
• Industries Banking and Financial Services

Referrals increase your chances of interviewing at The Bank of East Asia, Limited (BEA) by 2x

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

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Direct message the job poster from The Bank of East Asia, Limited (BEA)

Responsibilities

• Manage Credit RWA analytics, system calculation, regulatory reporting including Pillar 3 disclosure, under Basel III final reform.
• Responsible for data analytics, risk management reporting and ad-hoc enquiries from regulators.
• Participate in system development projects and co-ordinate change request through the cycles, including providing user requirements, user acceptance test, and specifications updates.
• Liaise with vendors or consultants when taking part in ad-hoc risk projects or regulatory projects.
• Enhance and carry out internal control procedures on data governance and profiling, to meet with BCBS239 requirements.

Requirements

• University graduate in Statistics, Risk Management, Finance, Quantitative Analysis or related discipline
• Proficiency in Excel VBA, SQL and/or related analytic tools such as SAS
• Knowledge of Basel III and other regulatory reporting requirement is an advantage
• Good communication, analytical and problem solving skills
• A mature and good team player who can work independently and under pressure
• Proficiency in both spoken and written English and Chinese

Please apply online via the BEA Careers website at or by clicking the "Apply Now" button below. Kindly note that if you are a new user, you have to first create your User Profile before you can apply.

Personal data provided by job applicants will be used for recruitment purposes only and will be treated in accordance with the Bank's Personal Information Collection (Employees) Statement and Privacy Policy Statement. Applicants who are not invited for interviews within six weeks may consider their applications unsuccessful and the personal data collected will be destroyed after 1 year.

• Seniority level Associate

• Employment type Full-time

• Job function Accounting/Auditing, Finance, and Analyst
• Industries Banking and Financial Services

Referrals increase your chances of interviewing at The Bank of East Asia, Limited (BEA) by 2x

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

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Join to apply for the Customer Analytics & Data Science Manager role at Bank of China (Hong Kong)

2 days ago Be among the first 25 applicants

Join to apply for the Customer Analytics & Data Science Manager role at Bank of China (Hong Kong)

Direct message the job poster from Bank of China (Hong Kong)

• Collaborate with business teams to identify business insight from data, covering the entire customer engagement journey, including acquisition, on-boarding, usage growth and retention/anti-attrition for the entire spectrum of personal banking products/services
• Proactively engage business teams to understand their business problems
• Formulate an innovative analytic framework to effectively study the data with customer centric perspective
• Explore the data, identify the business insight and consolidate the findings into an easy to understand structure
• Present the findings to senior management and business
• Develop and manage different portfolio management reports to effectively monitor the business
  
  

• Collaborate with business teams to identify business insight from data, covering the entire customer engagement journey, including acquisition, on-boarding, usage growth and retention/anti-attrition for the entire spectrum of personal banking products/services
• Proactively engage business teams to understand their business problems
• Formulate an innovative analytic framework to effectively study the data with customer centric perspective
• Explore the data, identify the business insight and consolidate the findings into an easy to understand structure
• Present the findings to senior management and business
• Develop and manage different portfolio management reports to effectively monitor the business
  
  

• Degree holder with major in quantitative, numerical science, computer science or related disciplines
• At least 5 years relevant working experience, preferably in financial services industry with proven track record and exposure in customer analysis, database marketing, report tracking and automation
• Proven competence in data processing of huge volume of data by SAS and use of different office tools, such as Excel and PowerPoint
• A mature self-starter with strong drive, solid analytic mind, remarkable problem-solving skills and good soft skills, including interpersonal, negotiation and project management
• Open-minded and receptive to different new ideas
• Excellent communication and presentation skills with good command of English and Chinese in both spoken and written. Fluent in Putonghua is an advantage
  
  

• Seniority level Not Applicable

• Employment type Full-time

• Job function Business Development and Information Technology
• Industries Banking, Capital Markets, and Financial Services

Referrals increase your chances of interviewing at Bank of China (Hong Kong) by 2x

Get notified about new Data Science Manager jobs in Hong Kong SAR .

Kwun Tong District, Hong Kong SAR 3 months ago

Kwun Tong District, Hong Kong SAR 2 months ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Join to apply for the Customer Analytics & Data Science Manager role at Bank of China (Hong Kong)

2 days ago Be among the first 25 applicants

Join to apply for the Customer Analytics & Data Science Manager role at Bank of China (Hong Kong)

Direct message the job poster from Bank of China (Hong Kong)

• Collaborate with business teams to identify business insight from data, covering the entire customer engagement journey, including acquisition, on-boarding, usage growth and retention/anti-attrition for the entire spectrum of personal banking products/services
• Proactively engage business teams to understand their business problems
• Formulate an innovative analytic framework to effectively study the data with customer centric perspective
• Explore the data, identify the business insight and consolidate the findings into an easy to understand structure
• Present the findings to senior management and business
• Develop and manage different portfolio management reports to effectively monitor the business
  

• Collaborate with business teams to identify business insight from data, covering the entire customer engagement journey, including acquisition, on-boarding, usage growth and retention/anti-attrition for the entire spectrum of personal banking products/services
• Proactively engage business teams to understand their business problems
• Formulate an innovative analytic framework to effectively study the data with customer centric perspective
• Explore the data, identify the business insight and consolidate the findings into an easy to understand structure
• Present the findings to senior management and business
• Develop and manage different portfolio management reports to effectively monitor the business
  

• Degree holder with major in quantitative, numerical science, computer science or related disciplines
• At least 5 years relevant working experience, preferably in financial services industry with proven track record and exposure in customer analysis, database marketing, report tracking and automation
• Proven competence in data processing of huge volume of data by SAS and use of different office tools, such as Excel and PowerPoint
• A mature self-starter with strong drive, solid analytic mind, remarkable problem-solving skills and good soft skills, including interpersonal, negotiation and project management
• Open-minded and receptive to different new ideas
• Excellent communication and presentation skills with good command of English and Chinese in both spoken and written. Fluent in Putonghua is an advantage
  

• Seniority level Not Applicable

• Employment type Full-time

• Job function Business Development and Information Technology
• Industries Banking, Capital Markets, and Financial Services

Referrals increase your chances of interviewing at Bank of China (Hong Kong) by 2x

Get notified about new Data Science Manager jobs in Hong Kong SAR .

Kwun Tong District, Hong Kong SAR 3 months ago

Kwun Tong District, Hong Kong SAR 2 months ago

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Join to apply for the Principal/Senior Data Analytics Product Manager (DEX Market) role at OKX

At OKX, we believe in shaping the future through crypto, contributing to individual freedom. We are a leading crypto exchange and developer of OKX Wallet, providing millions access to crypto trading and decentralized applications (dApps). We are trusted by large institutions and backed by Proof of Reserves. Our global offices are united by core principles: We Before Me , Do the Right Thing , and Get Things Done . As part of OKG, we bring blockchain value worldwide through our products like OKX, OKX Wallet, and OKLink.

We seek a Data Analytics Product Manager to leverage data for business evaluation, user profiling, product optimization, and data utilization. You will collaborate with blockchain engineers, data warehouse developers, and product teams to develop data tracking solutions, dashboards, reports, and insights to support growth and iteration.

1. Define and execute the data analytics roadmap to improve data utilization and enhance product experience.
2. Use analytics to evaluate business performance, develop user profiles, and inform decision-making.
3. Design and implement event tracking for accurate data collection.
4. Create real-time business dashboards for key metrics.
5. Generate analytical reports to support executive decisions.
6. Collaborate with technical and business teams to implement data solutions.
7. Maintain data quality, integrity, and compliance with governance standards.

• Bachelor’s or Master’s in Computer Science, Data Science, Statistics, Finance, or related field.
• 3+ years in data analytics, product management, or BI.
• Proficiency in SQL, Python, or R, with experience in blockchain data analysis.
• Experience with BI tools like Amplitude, Tableau.
• Understanding of DEX mechanisms, AMMs, and order book models.
• Strong problem-solving and communication skills.
• Passion for Web3, DeFi, and blockchain trends.

• Knowledge of blockchain development and smart contracts.
• Experience with big data platforms (Alibaba Dataworks, Snowflake, Google BigQuery).
• Expertise in data governance and standardization.

• Competitive compensation
• Learning and development programs
• Team building and company events
• Wellness and meal allowances
• Healthcare coverage

• Seniority Level: Director
• Employment Type: Full-time
• Job Function: Product Management
• Industry: IT Services and Consulting