115 Data Quality jobs in Hong Kong

What is this position about?
The Senior Data quality analyst will be playing a critical role in implementing operational data quality controls, providing ongoing monitoring and investigation of data quality issues and enabling continuous improvement. With a strong data oriented and risk control mind-set, this individual ensures quality data transmission to the end-users and is accountable for issue management and the definition of data quality strategy and controls.

• The Data Quality Analyst is an entry point for client data and referential topics regarding data quality and integrity (coming from the users across all 12 APAC territories)
• Control tower through proactive data quality monitoring and issue management
• Regular data quality reporting to relevant data consumers and report data quality trends, KPI indicators and remediation progress
• Own data quality improvement opportunities and backlog recommendations
• Co-ordinate data quality remediation and support the design of recommendations with various stakeholders/SMEs
• Representative to interact with Data Providers/SMEs on activities related to data quality and help provide E2E data and process understanding
• Perform audit confirmation activities, including but not limited to handling paper based requests, Chinese translation, answering queries from clients, auditors or internal stakeholders

The key interactions are with business representatives of all the functions of CIB ITO (Trade, Credit, Cash, Finance, ALMT); and data quality governance forums.

What would be your typical day at BNPP Paribas look like?
Primary Role And Responsibilities

• Entry point data quality and integrity topics regarding client and referential data (coming from the users across all 12 APAC territories)
• Act as control tower through proactive data quality monitoring, controls, data reconciliation and issue/break management.
• Lead interactions with Data Providers/SMEs on activities related to data quality and help provide E2E data and process understanding
• Accountable for owning data requests, data requirements and data quality issues
• Support IT to identify, categorize, and prioritize technical data quality issues
• Define data quality strategy, controls (preventative vs detective) and KPIs. Provide regular data quality reporting to relevant data consumers
• Oversee issue remediation and improvement projects, lead business requirements and drive escalation across the departments and governance forums
• Prepare the documentation and publication of governance presentation packs, incident investigation, data management artefacts (e.g., data lineage) and documentation of pain points and root causes
• Co-ordinate design and implementation of remediation with various stakeholders/SMEs, including the user acceptance testing
• Closely work with offshore counterpart on audit confirmation activities, including but not limited to scan paper based requests, translate Chinese into English, answer queries, mail / courier hard copies.

What is required for you to succeed?
We Are Looking a Data Quality Analyst With Global Banking End-to-end Data Quality Management Experiences And Be Able To Drive Organizational Change And Operational Solutions In The Financial Services Environment

• Degree holder with 5 years' experience of data quality management from investigation to remediation
• Sound knowledge of Global Banking products within Corporate Banking (Cash Management, Trade, Credit, Finance, etc.)
• Good understanding of Client Referential data in relation to corporate and institutional clients
• Fluent in spoken and written English and Cantonese is a must, Mandarin and/or French a plus
• Proficient in Microsoft office (MS Word, Excel & Power point)
• Strong analytical and problem-solving skills
• Ability to interact and coordinate appropriately in a non-hierarchical framework with a variety of stakeholders including SMEs from Operations, IT, Business, and senior management
• Comfortable operating with a strong level of autonomy and / or under pressure
• Ability to think outside the box and to deal with novelty
• Strong written / verbal communication and reporting skills
• Strong team working and interpersonal skills
• Organized and delivery-focused, with attention to detail
• Proactive, proposing or taking own initiatives to prevent risks / issues
• Solid work ethic and high level of motivation
• Project management skills

About BNP PARIBAS
As the leading European Union bank, and one of the world's largest financial institutions with an uninterrupted presence in the region since 1860, BNP Paribas offers a wide range of financial services for corporate, institutional and private investors spanning corporate and institutional banking, wealth management, asset management and insurance.

We passionately embrace diversity and are committed to fostering an inclusive workplace where all employees are valued and encourage applicants of all backgrounds, including diversity of origin, age, gender, sexual orientation, gender identity, religion applicants who may be living with a disability. We have a number of internal employee networks in place to empower our staff to act and challenge the status quo.

• BNP Paribas PRIDE is highly active in favour of the LGBTQIA+ community
• BNP Paribas MixCity which fosters better representation of women at all levels of the organization
• Ability, the mutual aid network for employees with a disability or a disabling or chronic illness
• BNP Paribas CulturAll which celebrates diverse backgrounds

BNP is committed to financing a carbon-neutral economy by 2050. The Group is a founding member of the Net-Zero Banking Alliance and has set up its own Low Carbon Transition Group to support its clients through their energy transitions.

About the Role

We are looking for a detail-oriented
Data Quality & Transformation Analyst
to ensure the accuracy, consistency, and readiness of our global analytics data. You will assess data quality, design and implement the required transformations, and collaborate closely with our global analytics and engineering teams.

Key Responsibilities

• Assess and monitor the quality of incoming data across multiple sources.
• Define, document, and implement data transformation rules to make data available for global consumption.
• Work with stakeholders to identify data gaps, anomalies, and areas for process improvement.
• Develop and maintain transformation pipelines in
  DBT
  and manage version control in
  GitHub
  .
• Leverage
  Google BigQuery
  and
  GA4
  data to support analytics and reporting requirements.
• Partner with engineering and analytics teams to ensure data standards and governance are met.

Qualifications & Skills

• 2 - 5 years
  of experience in data engineering, analytics, or data quality management.
• Hands-on experience with
  Google BigQuery
  and
  GA4 (Google Analytics 4)
  .
• Proven experience with
  DBT
  (data build tool) and GitHub for version control.
• Strong understanding of data modelling, transformation pipelines, and SQL.
• Excellent problem-solving skills and attention to detail.
• Effective communicator who can collaborate with global teams.

What we offer

Keyrus
offers a working environment and projects that attract the best people working in business intelligence, data analytics, and digital transformation. Working on diverse and challenging projects, you will have the opportunity to develop multi-disciplinary IT/business skills to help you build a strong career path.

You will be part of a young and ever learning enterprise with an established international network of thought leading professionals driven by bridging the gap between innovation and business. You get the opportunity to meet specialised and professional consultants in a multicultural ecosystem.

Who we are

Keyrus, creator of value in the era of Data and Digital.

Keyrus is dedicated to helping enterprises take advantage of the Data and Digital paradigm to enhance their performance, facilitating and accelerating their transformation, and generating new drivers of growth, competitiveness, and sustainability.

Keyrus in APAC employs more than 220 highly skilled consultants and is part of the international Keyrus Group, an international player in consulting and technologies and a specialist in Data and Digital. Created in 1996, listed on Euronext's Eurolist, with consolidated revenues of US$400m in 2023 and with more than 3,500 employees in 27 countries, the Keyrus Group offers the performance, solidity and know-how of a large professional services organisation, whilst preserving the agility of a young company.

Responsibilities:

Develop algorithms and statistical predictive models to identify business challenges and opportunities, and support developing business strategies

ETL process

Build big data analytics and AI logics for business solution

Analyze structured and unstructured data, visualize findings and discover insights for operation optimization and predictive maintenance

Requirements:

Degree Holder in Statistics, Mathematics, Computer Science or related disciplines

Minimum 2 years solid experience in data analytics

Proficient in Python

Experience in Hadoop framework, Spark, SQL, ML framework is desirable

Responsible, self-motivated and independent

5-day work week

All applications applied through our system will be delivered directly to the advertiser and privacy of personal data of the applicant will be ensured with security.

Full-time

Job Responsibilities

1. Assist in building data models and the company's data platform, optimizing analysis processes, and promoting data standardization.
2. Perform data analysis and reporting to support product strategy and customer management.
3. Responsible for the collection, analysis, and maintenance of product-related data.

Job Requirements

1. 1-3 years of work experience; master's degree or above.
2. Strong data analysis and processing skills, proficient in using common data analysis tools such as SQL and Python.
3. Clear thinking, logical rigor, attention to detail, strong sense of responsibility, and strong data insight ability.

FINANCE OFFICE

Accountant (Data Analysis) (Financial Management Section) (Ref

Duties

The appointee will be required to:

(a) support the departmental budget allocation of academic units of the University;

(b) design, build up and maintain database;

(c) compile, interpret, and analyse mass data;

(d) conduct data manipulation for scenario study;

(e) develop, enhance and execute tailor-made funding model in conjunction with the resource allocation exercise;

(f) project/estimate and present strategical information for supporting decision making by the management;

(g) perform general accounting duties including financial accounting, management accounting and budgeting; and

(h) perform any other duties as assigned by the Director of Finance or his delegate.

Qualifications

Applicants should have:

(a) a recognised degree, preferably in Data Science, Mathematics, Computer Science, Analytics or a related discipline;

(b) at least two years' post-qualification experience, preferably in database design and data analytics or other related fields;

(c) proficiency in Microsoft Excel, Microsoft Access and Python;

(d) basic knowledge of mathematical concepts and possess experience in handling large databases, including extracting, evaluating and manipulating data for reporting and analytical purposes by using query tools; and

(e) good communication and interpersonal skills, with high level of self-motivation and ability to work independently.

Shortlisted candidates will be invited to sit for a written test.

Applicants who have responded to the previous advertisement need not re-apply.

Conditions of Service

A highly competitive remuneration package will be offered.  Initial appointment will be on a fixed-term gratuity-bearing contract.  Re-engagement thereafter is subject to mutual agreement.

Application

Please submit an application through PolyU's career website ).  Consideration of applications will commence on 12 September 2025 until the position is filled.  The University's Personal Information Collection Statement for recruitment can be found at

PolyU is an equal opportunity employer, dedicated to fostering an environment that embraces diversity and demonstrates inclusion of people from all backgrounds, cultures, identities and experiences where all members of the University are treated with fairness, dignity and respect.  To learn more about the University's "Statement on Equal Opportunities, Diversity, and Inclusion", please visit our website at .

Responsibility:

• Be one of responsible team members working under the umbrella of Financial Crime Compliance department
• Responsible for building and maintaining the group's compliance database, continuously expanding the data scope, and optimizing the data usage experience
• Assist in the development and maintenance of anti-money laundering assessment models, and participate in model re-examination,parameter tuning, rating calculations, etc
• Responsible for the analysis of anti-money laundering monitoring data and support for Bank of China (Hong Kong) and regional anti-money laundering
• Assist in following up the BOC Hong Kong and regional anti-money laundering application system projects, including writing requirements, testing and acceptance, etc
• Responsible for data management within the department, including data governance, data quality and data security

• Bachelor degree or above in computer or information technology related subjects preferred
• 3-5 years of banking data management, analysis and application experience, preferably with experience in building large data warehouses
• Have strong logical thinking, problem analysis and problem solving abilities, strong data sensitivity and insight
• Proficient in SQL and proficient in data analysis programming languages, such as Python and R
• Have experience in requirements writing, project management and good cross-unit collaboration and communication skills.
• Applicants with Hong Kong Institute of Bankers' Anti-Money Laundering Professional Qualification (such as AAMLP, CAMLP) or other internationally recognized professional qualifications will be given priority but not a must
• Applicants with more experience would be considered as Senior Manager

Responsibility:

• Develop, train and deploy artificial intelligence and machine learning models to solve complex business challenges;
• Responsible for various data preprocessing activities including collection, cleansing and validation of large datasets, and transforming the data into format suitable for consumption by artificial intelligence and machine learning models;
• Conduct in-depth data analysis on large datasets, and apply statistical and machine learning algorithms for extracting meaning from data and identifying actionable insights;
• Continuously monitor model performance and iterate to improve performance and efficiency of models with a view to optimizing business function;
• Responsible for preparation and maintenance of documentations in relation to the model development throughout the model development lifecycle;
• Assist in building a compliance data warehouse and continuously expanding data scope according to the need of AML monitoring, optimizing database performance and improving data usage experience;
• Assist in management and maintenance of the compliance data warehouse, including formulating database management policy and procedure, developing and maintaining data dictionary, monitoring data quality and ensuring data security;
• Assist in data management within the department, including data accountability management, data governance, data quality and security, etc.;
• Collaborate closely with cross-functional teams and external parties including business stakeholders, inhouse IT and data scientist team and solution vendors;
• Research emerging artificial intelligence trends and models, and integrate the new techniques to enhance model capabilities

Requirements:

• Bachelor degree or above in Computer Science, Data Science, Financial Mathematics, Statistics, Finance, Economics, or related disciplines
• 3-5 years or above relevant experience in implementation of artificial intelligence and machine learning models; experience in Banking data management, analysis and application being an advantage (For Senior Manager, at least 8 years relevant experience)
• Proficiency in programming languages, including Python and R, and machine learning libraries
• Strong understanding of machine learning algorithms, deep learning and statistical methods
• Strong problem-solving ability with passion for analytic excellence, able to manage complex scenario challenges simultaneously and work independently and under pressure
• Experience in financial service industry or financial crime compliance domain, or possession of relevant qualification in CAMS, ECF (AML/CFT) Core Level, FRM, CPA, ACCA being an advantage
• Good command of written and spoken English and Chinese

Responsibility:

• Develop, train and deploy artificial intelligence and machine learning models to solve complex business challenges;
• Responsible for various data preprocessing activities including collection, cleansing and validation of large datasets, and transforming the data into format suitable for consumption by artificial intelligence and machine learning models;
• Conduct in-depth data analysis on large datasets, and apply statistical and machine learning algorithms for extracting meaning from data and identifying actionable insights;
• Continuously monitor model performance and iterate to improve performance and efficiency of models with a view to optimizing business function;
• Responsible for preparation and maintenance of documentations in relation to the model development throughout the model development lifecycle;
• Assist in building a compliance data warehouse and continuously expanding data scope according to the need of AML monitoring, optimizing database performance and improving data usage experience;
• Assist in management and maintenance of the compliance data warehouse, including formulating database management policy and procedure, developing and maintaining data dictionary, monitoring data quality and ensuring data security;
• Assist in data management within the department, including data accountability management, data governance, data quality and security, etc.;
• Collaborate closely with cross-functional teams and external parties including business stakeholders, inhouse IT and data scientist team and solution vendors;
• Research emerging artificial intelligence trends and models, and integrate the new techniques to enhance model capabilities

• Bachelor degree or above in Computer Science, Data Science, Financial Mathematics, Statistics, Finance, Economics, or related disciplines
• 3-5 years or above relevant experience in implementation of artificial intelligence and machine learning models; experience in Banking data management, analysis and application being an advantage (For Senior Manager, at least 8 years relevant experience)
• Proficiency in programming languages, including Python and R, and machine learning libraries
• Strong understanding of machine learning algorithms, deep learning and statistical methods
• Strong problem-solving ability with passion for analytic excellence, able to manage complex scenario challenges simultaneously and work independently and under pressure
• Experience in financial service industry or financial crime compliance domain, or possession of relevant qualification in CAMS, ECF (AML/CFT) Core Level, FRM, CPA, ACCA being an advantage
• Good command of written and spoken English and Chinese

Responsibility:

• Develop, train and deploy artificial intelligence and machine learning models to solve complex business challenges;
• Responsible for various data preprocessing activities including collection, cleansing and validation of large datasets, and transforming the data into format suitable for consumption by artificial intelligence and machine learning models;
• Conduct in-depth data analysis on large datasets, and apply statistical and machine learning algorithms for extracting meaning from data and identifying actionable insights;
• Continuously monitor model performance and iterate to improve performance and efficiency of models with a view to optimizing business function;
• Responsible for preparation and maintenance of documentations in relation to the model development throughout the model development lifecycle;
• Assist in building a compliance data warehouse and continuously expanding data scope according to the need of AML monitoring, optimizing database performance and improving data usage experience;
• Assist in management and maintenance of the compliance data warehouse, including formulating database management policy and procedure, developing and maintaining data dictionary, monitoring data quality and ensuring data security;
• Assist in data management within the department, including data accountability management, data governance, data quality and security, etc.;
• Collaborate closely with cross-functional teams and external parties including business stakeholders, inhouse IT and data scientist team and solution vendors;
• Research emerging artificial intelligence trends and models, and integrate the new techniques to enhance model capabilities

Requirements:

• Bachelor degree or above in Computer Science, Data Science, Financial Mathematics, Statistics, Finance, Economics, or related disciplines
• 3-5 years or above relevant experience in implementation of artificial intelligence and machine learning models; experience in Banking data management, analysis and application being an advantage (For Senior Manager, at least 8 years relevant experience)
• Proficiency in programming languages, including Python and R, and machine learning libraries
• Strong understanding of machine learning algorithms, deep learning and statistical methods
• Strong problem-solving ability with passion for analytic excellence, able to manage complex scenario challenges simultaneously and work independently and under pressure
• Experience in financial service industry or financial crime compliance domain, or possession of relevant qualification in CAMS, ECF (AML/CFT) Core Level, FRM, CPA, ACCA being an advantage
• Good command of written and spoken English and Chinese