Total 768 data entry job vacancies in Others category in Hong Kong

•You will be responsible for end-to-end delivery of enterprise data and analytics solutions leveraging traditional and modern Data architecture. Experience with Financial Crime Analytics, Finance & Credit Risk Analytics, Credit Scoring & Decision systems, Retail & Wholesale Datamarts will of advantage

•The role spans requirements analysis, solution design, testing, implementation, and production support ensuring high-quality, scalable, and compliant data platforms that support advanced analytics and AI initiatives.

Key Responsibilities

•Lead end-to-end solution delivery for data and analytics across the full SDLC.

•Analyze business and regulatory requirements, translate them into scalable solution designs & provide estimations.

•Communicate complex technical and architectural concepts to business and senior stakeholders in a clear, simplified manner.

•Review and approve test strategies, functional test cases, and data validation approaches.

•Manage risks and issues related to scope, data quality, regulatory commitments, and delivery timelines.

•Participate in product and platform evaluations (RFPs, PoCs) for data, analytics, and AI tooling.

•Partner with production support team to conduct root cause analysis, resolution, and preventive controls.

•Lead innovation and modernization initiatives, including data discovery, cataloguing, governance, and AI enablement.

•Drive productivity, efficiency & quality improvements across delivery and operational processes.

•Ability to design data architectures supporting NLP and AI-driven analytics.

FUNCTIONAL SKILLSETS

Analytics Domains

•Financial Crime Analytics Transaction Monitoring, Customer Due Diligence, Sanctions & Payments Screening

•Finance & Credit Risk Analytics Financial reconciliation, Allocation, Performance management, Regulatory and Management reporting, Credit risk exposure, NPL, Counterparty risk, Basel & IFRS9 input variables

Enterprise Data, Analytics & Unstructured Data Enablement

•Proven experience delivering large-scale analytics platforms within financial services spanning structured, semi-structured, and unstructured data

•Strong capability in requirements analysis and functional design for analytics use cases involving Transactional data, Investigator narratives, Case notes and alerts, Policy & Customer communications documents

•Experience defining data quality, governance, lineage, and reconciliation controls for both structured and NLP-derived datasets.

Unstructured Data & NLP-Enabled Analytics

•Ability to define data architectures and data flows that ingest, curate, and govern unstructured and semi-structured data within enterprise data platforms.

•Experience translating business requirements into NLP-enabled analytical use cases, such as Text classification and categorization, Entity & relationship extraction, Risk indicator identification, Summarization of alerts, cases, or documents

Knowledge Graph & Relationship Based Analytics

•Ability to design and govern an enterprise knowledge layer defining relationship taxonomies, entity resolution rules, and linkage logic

•Ability to translate use cases into relationship driven analytical designs, such as Network based risk identification, Hidden association and indirect exposure analysis, Related party and concentric risk detection

Requirements

Data Platforms & Architecture

•Open table formats: Apache Iceberg, Delta Lake, Apache Hudi

•Distributed processing & query engines: Spark, Trino/Presto, Hive

•Cost optimization strategies: tiered storage, lifecycle management, workload governance

Programming & Analytics

•SQL, BTEQ, GCFR

•Python (Pandas, NumPy)

•BI & visualization tools: Power BI, QlikSense

Data Integration & Quality

•Informatica suite: PowerCenter, BDM, IDQ, Enterprise Data Catalogue

•Data ingestion patterns: batch, CDC, streaming

•Data validation, quality controls, and reconciliation frameworks within environments

Governance, Risk & Compliance

•Data modelling, critical data elements, regulatory reporting

•Fine-grained data access controls (row-level, column-level, masking)

•Metadata management, lineage, and impact analysis

•Compliance with BCBS 239, MAS, AML/CFT, and internal data standards

Big Data Platforms

•Cloudera Hadoop distribution: Hive, Impala, Spark, Iceberg, Trino

Responsibilities

a) To manage and to run the Data Centre operations team on a 24x7 basis to ensure both facilities, IT infrastructure and business applications are operational

• Monitor Server and application health

• Support level 1 troubleshooting and recovery

• Run batch jobs & monitoring

• Run backup job & monitoring

• Support Production job deployment and Job schedule

b) Accompany & direct Data Centre visitor

c) Support Disaster Recovery activity

d) Ensure all IT related issues are well documented and update management on overall performance status and activities within Data Centre

You will be involved in monitoring the performance and availability of IT services, processing of production jobs, assisting in monitoring and resolution of incidents related to computer hardware, operating system, application systems, data centre facilities and managing the security of the data centre. Supervise service vendors to ensure full compliance to Service Level agreement.

You will also be involved in process improvement initiatives and projects for the data centre.

Requirements

a) Ability to effectively respond to all issues, complex enquiries or complaints from Project Leaders, users and/or higher management

b) Knowledge in Data Centre/Critical Services management

c) Knowledge in security, fire and workplace safety

d) Excellent interpersonal and communicative skills and be a team player

e) Perform other job-related duties or special projects as assigned

f) Preferably certification in ITIL or good understanding of ITIL framework and practices

g) Minimum NITEC IT / Higher NITEC IT qualification

h) Able to work in shift as Data Centre operates 24/7. Each shift is of 12 hours

i) (Day shift 8.45 am to 8.45 pm, Night Shift: 8:45 pm to 8:45am)

h) Deployment of production files and scheduling of Batch Jobs

If you are looking for a marketing experience and take on leadership roles this is your opportunity!

Role:

- Increase our clients’ revenue and brand awareness

- Plan and implement activities (campaigns and road shows etc)

What we are able to provide:

- Mentorship and guidance

- Professional and personal developments

- Travelling opportunities and career progression

Requirements:

- Great learning attitude and work ethics

- Great communication and interpersonal skills

- Self-driven and a great team player

If this position sounds like you, apply today! Our slots are filling up fast and only shortlisted applicants will be contacted.