Astek has an opening of a Data Management Analyst role.

• Conduct data analysis to identify inconsistencies, trends, and areas for data improvement in a financial services environment.
• Lead and manage data reconciliation and quality checks, ensuring the integrity of financial data by implementing, monitoring, and troubleshooting data processes.
• Handle data issue management, ensuring timely resolution and minimizing the impact on business operations.
• Utilize Oracle PL/SQL to manage, query, and analyze large datasets related to financial data.
• Perform User Acceptance Testing (UAT) for financial data-related applications, ensuring that the system is functioning as required and meeting the specified business needs.
• Monitor and manage Service Level Agreements (SLA), responding to queries from internal stakeholders and end-users in a timely manner.
• Provide comprehensive documentation support for both technical and functional specifications, including data models, data mappings, and process flows.
• Leverage investment data domain knowledge to ensure proper data management practices are followed in line with industry standards.
• Apply strong problem-solving and logical thinking to resolve data challenges and drive continuous improvement in data management processes.

Qualifications and Requirements:

• CAT-1 cleared/eligible candidate is required for this role (Only Singapore Citizen allowed)
• Bachelor's degree in Computer Science, Information Technology, Finance, or a related field.
• Minimum 4 years of relavant experience
• Proven experience in data management in financial services firm is a must.
• Experience in data reconciliation, data quality checks, and issue management specific to financial data.
• Proficiency in Oracle PL/SQL for querying, reporting, and managing financial datasets.
• Extensive experience with UAT processes for financial applications and data systems.
• Solid understanding of investment data domain knowledge, including financial instruments, transactions, and reporting practices.
• Strong ability to manage SLAs and respond to inquiries from stakeholders and users in a timely and professional manner.
• Excellent problem-solving abilities, with an emphasis on logical thinking and attention to detail.
• Strong written and verbal communication skills for clear documentation and reporting.

Our Client:

• Engineering Industry
• Central Region
• 5 Days, Monday to Friday
• Up to $8,000 per month

Responsibilities:

• Design and build data pipelines infrastructure to collect, process and store data from various sources.
• Develop data assets platform to provide a centralized repository for managing and accessing data assets.
• Implement automated SQL queries based on user-defined criteria or business requirements.
• Use techniques like query templates, metadata-driven generation, or machine learning algorithms to generate SQL queries.
• Create new IPs in Singapore in area of expertise.
• Manage collaboration projects with Institute of Higher Learning or Research Institutes on new technology development.

Requirements:

• Degree / Masters / PhD in Computer Science, Data Science, Statistics Applied Sciences or related field.
• Proficiency in Python, SQL, Java or Scala programming languages.
• Understand data warehousing concepts, ETL (Extract, Transform, Load) processes and tools like Informatica, Talend, or Airflow.
• Knowledge of relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra).
• Familiar with Apache Airflow, Kubernetes or Ansible for automating data pipelines and infrastructure.

For interested applicants, please click "Quick Apply”

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Quay Choon Lan Joanne (Guo Chunlan) | EA Reg No: R24121479
JTE Recruit Pte Ltd | EA Lic No: 14C7215

We are seeking a seasoned Data Engineer with over 3 years of relevant experience in data engineering, business intelligence, and AI-driven analytics with overall 10 years + of experience. The ideal candidate will have a proven ability to design scalable data pipelines, implement machine learning models, and deliver data-driven solutions that optimize decision-making processes. This role requires close collaboration with cross-functional teams to align business needs with technical capabilities while ensuring data integrity, security, and compliance.

Key Responsibilities

• Design, implement, and maintain ETL workflows for managing large-scale datasets.

• Develop cloud-based data pipelines (AWS, Azure) for scalable and real-time analytics delivery.

• Optimize data models to ensure high performance and reliable reporting.

• Create advanced dashboards and visualizations using tools like Qlik Sense and Tableau.

• Incorporate predictive analytics and AI-driven insights to enhance decision-making.

• Automate trend analysis and forecasting using machine learning techniques.

• Develop and integrate machine learning models for real-time predictive analytics.

• Implement AI-driven algorithms for anomaly detection, trend identification, and operational efficiency.

• Establish and enforce data governance frameworks to maintain data integrity, security, and compliance.

• Perform regular audits to ensure high-quality and consistent data systems.

• Collaborate with cross-functional teams to develop tailored data solutions.

• Mentor and train teams on best practices for business intelligence and analytics tools.

• Engage with stakeholders to understand complex business requirements.

• Deliver customized reports and data-driven insights aligned with client strategies.

Qualifications

• Education:

• Bachelor’s in Computer Applications or related field.

• Technical Expertise:

• knowledge in Qlik Sense, Tableau, and other business intelligence tools.

• Hands-on experience with cloud platforms like AWS and Azure.

• Strong skills in ETL workflows, data pipelines, and data modeling.

• Advanced knowledge of AI and machine learning frameworks, including predictive modeling and analytics.

• Certifications (Preferred):

• Qlik Sense Business Analyst Certification.

• Qlik Sense Data Architect Certification.

• Experience:

• 3+ years in data engineering, business intelligence, and AI-driven analytics.

• Proven success in leading data-driven projects and implementing scalable solutions.

Job Description:

As an Application Support Engineer, you will act as a software detective, identifying and resolving issues in critical business systems. You will work independently and collaboratively to provide innovative solutions, becoming a subject matter expert (SME) in the process. This role involves troubleshooting, engineering support, and improving application support processes, with a focus on ETL tools, data pipelines, and database management.

Key Responsibilities:

· Identify and resolve issues within critical business systems.

· Develop and improve application support processes and strategies.

· Collaborate with cross-functional teams to troubleshoot and resolve complex technical issues.

· Conduct system audits to optimize performance and identify areas for improvement.

· Provide technical guidance and support to end-users.

· Profile, cleanse, and classify data.

· Design and develop data pipelines that ingest data from various sources.

Requirements:

· Hands-on experience with RDBMS such as Oracle, DB2, MS SQL, or PostgreSQL.

· Knowledge of database design and data modelling (logical and physical).

· Experience with ETL tools like SAS DI, Informatica, or Talend.

· Familiarity with data streaming technologies such as Kafka or Spark is an advantage.

· Experience with data visualization tools like Qlik, Tableau, or Power BI is a plus.

· Self-motivated and eager to learn, with a willingness to share knowledge.

Preferred Skills:

· Basic proficiency in Application Remediation, Data Replication & Synchronization, and IT Troubleshooting.

· Intermediate proficiency in ETL tools.

Job Description & Requirements

We are seeking a highly skilled Market Data Analyst Presales Engineer to join our dynamic team. In this role, you will play a pivotal role in driving sales by leveraging your deep understanding of market data and technical expertise. You will collaborate closely with the sales team to identify and qualify opportunities, conduct in-depth technical assessments, and deliver compelling product demonstrations.

Technical Expertise:

Develop a strong understanding of our products and services (Cryptocurrency, Investments, etc), including their technical specifications, capabilities, and benefits.

Stay up-to-date with industry trends, emerging technologies, and competitive landscapes.

Conduct in-depth technical assessments of client requirements and propose tailored solutions.

Contribute to the development of the investment strategy, focusing on emerging trends in Fintech and infrastructure.

Identify new areas for investment within the fintech space, particularly in Payment solutions and decentralized technologies.

Presales Support:

Collaborate with the sales team to identify potential opportunities and qualify leads.

Develop and deliver compelling product demonstrations, presentations, and technical proposals.

Address technical questions and concerns from prospective clients, providing clear and concise explanations.

Conduct proof-of-concept (POC) implementations and data analysis to showcase the value of our solutions.

Data Analysis and Insights:

Analyze market data to identify trends, opportunities, and potential challenges.

Leverage data analysis techniques to support sales efforts and provide valuable insights to clients.

Develop custom data analysis solutions to address specific client needs.

Required Skills:

Data Analysis, Market research, Presales

domain Skills:

Cryptocurrency, Investments, etc.

Portfolio management experience is preferred.

JOB DESCRIPTION

This role encompasses two primary responsibilities, the first involves data science activities and the second focus on full-stack development.

Data Science Responsibilities:

• Collect, clean, and preprocess large datasets
• Develop and deploy machine learning models to address challenges related to Keppel energy systems, including predictive modeling, classification, and clustering
• Apply statistical analysis to derive actionable insights and support data-driven decision-making
• Perform data visualization to effectively communicate findings to both technical and non-technical stakeholders
• Collaborate with data science and engineering teams to identify opportunities for leveraging data in product development and operations

Full Stack Development Responsibilities:

• Design, develop, and maintain scalable web applications, ensuring seamless integration with data pipelines and models
• Build APIs and microservices to serve machine learning models and integrate with front-end interfaces
• Implement responsive front-end interfaces using modern frameworks (e.g., React) to display data insights and support interactive user experiences
• Optimize back-end services for efficiency and scalability, ensuring secure data access and real-time performance
• Troubleshoot and debug issues across the full stack (front-end, back-end, and database layers)

Such other duties and responsibilities as may be reasonably requested by your immediate supervisor / the head of department from time to time.

JOB REQUIREMENTS

• Bachelor's degree in computer science, software engineering or related field
• Strong knowledge of machine learning algorithms, statistical analysis, and data mining techniques.
• Strong understanding of back-end frameworks and technologies (e.g., Node.js, Django, Flask, Express).
• Proficiency in programming languages such as Python for data science applications.
• Proficiency in front-end technologies
• Hands-on experience with databases and cloud-based data storage solutions.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud)
  

JOB SUMMARY

• The Financial crime end to end Programme aims to evaluate FC processes E2E to improve client experience, enhance control effectiveness and deliver cost transparency. The Financial Crime Data Analytics Specialist is a pivotal role focused on driving data-driven insights across the entire financial crime lifecycle pan bank (CIB and WRB), to produce comprehensive process and cross functional data driven insights.
• This role requires a strategic thinker with the ability to assess financial crime processes, analyze costs, and uncover opportunities to optimize operations and reduce inefficiencies while maintaining regulatory compliance.
• As a subject matter expert in financial crime analytics, you will collect, analyze, and interpret data from diverse functions—including KYC, EDD, transaction monitoring, names screening, transactional screening, case management, RFI, SARs filing etc. You will provide actionable insights, develop interactive dashboards, and identify trends to support performance improvement and cost reduction initiatives.

RESPONSIBILITIES

1. Comprehensive Financial Crime Process Analytics

• Conduct detailed analyses of financial crime workflow
• Collect data from e2e processes across functions to uncover insights that are not typically covered within function’s analytics including identify inefficiencies, bottlenecks, and redundancies across teams and systems.
• Assess how financial crime processes interact, ensuring that dependencies between functions (e.g., alert triaging and case escalation) are optimized.

2. Financial Crime Cost and Resource Analysis

• Analyze financial crime cost structures, focusing on operational, technology, and resource-related expenses.
• Identify cost drivers and inefficiencies, providing recommendations for cost optimization without compromising compliance or effectiveness.
• Monitor and report on the financial impact of operational changes, including automation and resource allocation adjustments.

3. Data Integration and Management

• Aggregate data from multiple systems and functions, ensuring consistency, accuracy, and completeness.
• Integrate external data sources such as sanctions lists, adverse media feeds, and various detection systems to enrich analytics.
• Ensure adherence to data governance and regulatory requirements, establishing trusted datasets for comprehensive analysis.

4. Advanced Analytics and Insight Generation

• Use statistical and predictive analytics to identify trends, anomalies, and emerging risks in financial crime processes.
• Develop models to analyze false positive rates, throughput times, and alert-to-case conversion rates, identifying areas for improvement.
• Provide actionable insights to enhance the effectiveness and efficiency of risk detection and mitigation processes.

5. Reporting, Visualization, and Performance Monitoring

• Design interactive dashboards and detailed reports tailored to the needs of compliance, risk, and senior leadership teams.
• Create visualizations that clearly communicate key metrics and highlight areas of risk, inefficiency, and opportunity.
• Establish metrics and KPIs to continuously monitor the performance of financial crime functions and their integration points.

6. Driving Process Improvements

• Collaborate with process owners to implement data-driven recommendations for improving workflows, reducing manual effort, and streamlining operations.
• Support the adoption of advanced technologies such as automation, machine learning, and AI to enhance detection capabilities and reduce operational burdens.
• Conduct root cause analyses to address recurring inefficiencies, ensuring sustainable improvements across functions.

7. Stakeholder Engagement and Collaboration

• Partner with Compliance, Risk, Operations, and Technology teams to ensure alignment on analytics initiatives and regulatory expectations.
• Act as a bridge between financial crime functions, fostering collaboration and holistic problem-solving.
• Support audit and regulatory requests by providing comprehensive data analysis and insights into financial crime operations.

8. Continuous Learning and Adaptation

• Stay informed about regulatory changes, industry best practices, and emerging financial crime typologies.
• Incorporate evolving risks and trends into analytics models and reporting frameworks.
• Evaluate and refine analytics tools, methodologies, and processes to adapt to the dynamic financial crime landscape.

Key Deliverables

• Development of end-to-end financial crime performance metrics.
• Analytical models to assess costs, resource utilization, and process effectiveness.
• Interactive dashboards providing transparency for FC E2E processes
• Data-driven recommendations for process improvements and cost reduction initiatives.
• Reports for senior management highlighting opportunities for optimization and progress on key initiatives.

Strategy

• Provide input to the vision of bank’s Financial Crime processes to future proof the bank.
• Continuously develop knowledge of business processes and understanding of industry best practice.

Business

• Partner with stakeholders across the organisation (WRB, CIB, FCSO, FCC CIO, Data)

Processes

• Understand WRB and CIB processes related to Financial Crime business strategy and align process improvements and metrics to these priorities

People & Talent

• Support a change mindset, building a culture of client centricity, improvement habit, agility, and accountability through standardised metrics and measurement, with the expectation that everyone in Operations are drivers and owners of client outcomes.
• Continually strive to share key relevant knowledge and learnings with the others across the team.
• Lead through example and build the appropriate culture and values, embedding a high level of team engagement.
• Ensure ongoing training and development for professional and personal self-growth.

Risk Management

• Manage changes and reporting in line with all relevant risk management frameworks, where applicable

Governance

• Develop awareness and understanding of the regulatory framework in which the Group operates and the regulatory requirements and expectations relevant to the role.
• Support effective governance in compliance with applicable internal policies and external laws and regulations, overseeing changes in business controls as required.

Regulatory & Business Conduct

• Display exemplary conduct and live by the Group’s Values and Code of Conduct.
• Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.
• Lead to achieve the outcomes set out in the Bank’s Conduct Principles
• Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.

Key Stakeholders

• FC E2E Programme Director
• FC E2E Accountable Executives (WRB & CIB)
• FCSO & FCC MT
• Head of KYC/ Onboarding and key Subject Matter Experts in CIB and WRB
• Head of Compliance and key Subject Matter Experts
• Head of Data/ Chief Data Office
• T&O Programme Management
• Programme Directors, Hives, Architects and Product Owners of Satellite Programs contributing to the delivery of the FCE2E transformation.

Other Responsibilities

• Analytical - Excellent analytical skills, including ability to use business intelligence tools, and sort through complex data to articulate business trends and implications.
• Discipline - Excellent time-management skills and ability to handle multiple tasks simultaneously. Highly process and policy oriented.
• Attitude - Goal-oriented, positive and proactive. Comfortable in a fast-paced, results-oriented work environment. Ability to communicate effectively with senior leaders.

Our Ideal Candidate

• 5+ years in data analytics within the financial services industry or within Banking industry.
• Work experience especially in Financial Crime related roles is a requirement.
• Strong understanding of Financial Crime related processes, technology, rules and regulations are requirements,
• Bachelor’s or Master’s degree in Data Analytics, Business Analytics, Statistics, Computer Science, Finance, or a related field.
• Advanced expertise in analytics tools (e.g., SQL, Python, R) and business intelligence platforms (e.g., Tableau, Power BI).
• Experience in data integration, process mining, and workflow analysis tools.
• Strong understanding of data governance, quality assurance, and management best practices.
• Comprehensive knowledge of financial crime processes
• Understanding of financial crime typologies, emerging risks, and advanced detection techniques using AI/ML.
• Exceptional analytical skills, with the ability to uncover insights from complex datasets and translate them into actionable recommendations.
• Strong problem-solving skills, focused on practical and sustainable improvements.
• Ability to articulate technical findings to diverse stakeholders, including non-technical audiences.

Role Specific Technical Competencies

• Data Science
• Statistics
• Written and oral presentation skills
• Data Science & Programming (Python & R)
• Business intelligence platforms (e.g., Tableau, Power BI).
• Financial Crime knowledge

About Standard Chartered

We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.

Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.

Together we:

• Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do
• Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well
• Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term

What we offer

In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.

• Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.
• Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.
• Flexible working options based around home and office locations, with flexible working patterns.
• Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits
• A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.
• Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

Recruitment Assessments

Some of our roles use assessments to help us understand how suitable you are for the role you've applied to. If you are invited to take an assessment, this is great news. It means your application has progressed to an important stage of our recruitment process.

Visit our careers website www.sc.com/careers

Position Summary:

This position requires in-depth technical understanding and rich practical experience in data security, risk mitigation technology, and R&D engineering. Through the R&D, integration, and implementation of data security engineering, we will implement a data security operation platform for supporting data security operations, privacy and compliance teams to identify, assess, and mitigate risks. The candidate should be familiar with software engineering industry standards and best practices, and be able to effectively collaborate with multiple parties, including Big data team, technology R&D, and other security departments.

Responsibilities:

• Facilitate risk analysis, data security requirements, and technology roadmaps with Tech & security teams, ensuring compliance with industry and regulatory standards (e.g. CCPA, PDPA).
• Collaborate with security teams across regions to develop strategies and execute projects based on compliance and data protection needs to safeguard customer and enterprise data.
• Responsible for the data security engineering and solutions end-to-end, from technical design, R&D development, implementation, and commercial system integration.
• Implement data security operation platforms including data discovery, classification, de-sanitization, compliance control, and leakage prevention.
• Integrate commercial data security tools such as endpoint DLP, cloud DLP, CASB, data discovery and classification, and privacy DSR platform, ensuring alignment with EU data protection regulations.
• Ensure that data security measures integrate seamlessly with company-wide security strategies and contribute to the overall security posture.

Skills and Qualifications:

• Data Security Proficiency: Practical working knowledge of data security solutions including data discovery, classification, de-identification, and leakage prevention using tools such as endpoint DLP, cloud DLP, CASB, and Privacy DSR tooling.
• Software Development Experience: At least 5 years of solid experience in software development, with a preference for expertise in Java.
• Database and Applications: Familiarity with relational databases like MySQL and applications such as Redis, MQ, and Elasticsearch.
• Big Data Technologies: Knowledge of big data related technologies like Flink, Storm, Kafka, etc., is preferred.
• Education Level: Bachelor’s Degree
• Field of Study: Computer Engineering, Computer Science, Information Technology, Cybersecurity, or related fields.
• Certifications: Relevant cybersecurity certifications such as CISSP, CISM, CISA, or PMP are highly desired.

Our client, a well-known company is looking for candidates for the position of Demand and Supply Specialist.

SUMMARY

• Function as Demand & Supply Specialist to manage monthly operations, mid-long term sales forecasting for Indonesia
• Work closely with counterparts such as Pricing colleagues, cross functional team and Distributor to maximize sales with appropriate production in Indonesia

RESPONSIBILITIES

• Create monthly Demand & Supply plan and negotiate with Distributor
• Explain Demand & Supply thinking way to cross function team so as to secure production allocation for future months
• Good overview of market, promotion activities and competitor situation to explain to internal stakeholders
• Visualize and summarize distributors requests for fleet / ad-hoc orders to ensure production supply
• Visit distributor and dealers regularly to gather feedback from frontline and improve forecast accuracy
• Monitor sales achievement daily/monthly and discuss countermeasure with Distributor or Function team to bridge the gap.

REQUIREMENTS

• Basic knowledge of demand & supply concept or working experience preferred in Automotive/Logistics
• Individuals with 1-2 years of relevant experience are preferred
• Proficient in MS Office (Excel/Powerpoint) to run analysis & visualization, reporting purposes etc.
• Flair for numbers, strong analytical skills with an eye for details
• Excellent communication skills and a team player
• Well organized with good time management abilities to meet deadlines and schedules
• Determined and takes strong ownership in task
• Able to travel overseas as and when required by business
• Open to work overtime when required

EA License No.: 01C4394 (PERSOLKELLY Singapore PTE LTD)

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As a Lead Data Engineer, you will play a leading role in designing, building, and optimizing our data infrastructure, ensuring that it supports the advanced analytics need of the bank. You will oversee a team of data engineers, working closely with data analysts, DevOps team, infrastructure engineers, and other stakeholders to deliver high-quality data solution.

Your main responsibilities will include:

• Design, develop, and implement Spark Scala applications and data processing pipelines to process large volumes of structured and unstructured data.
• Integrate Elasticsearch with Spark to enable efficient indexing, querying, and retrieval of data.
• Optimize and tune Spark jobs for performance and scalability, ensuring efficient data processing and indexing in Elasticsearch.
• Collaborate with data engineers, data scientists, and other stakeholders to understand requirements and translate them into technical specifications and solutions.
• Design and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques.
• Optimize data engineering workflows for containerized deployment and efficient resource utilization.
• Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability.
• Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements.
• Implement monitoring and logging mechanisms to ensure the health, availability, and performance of the data infrastructure.
• Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference.
• Stay updated with emerging technologies, industry trends, and best practices in data engineering and DevOps.
• Provide technical leadership, mentorship, and guidance to junior team members to foster a culture of continuous learning and innovation to the continuous improvement of the analytics capabilities within the bank.

• Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field.
• At least 10 years of experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments.
• Strong expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Ranger, etc)
• Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes.
• Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java.
• Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)
• Experience with Grafana, Prometheus, Splunk will be an added benefit
• Strong problem-solving and troubleshooting skills with a proactive approach to resolving technical challenges.
• Ability to manage multiple priorities, meet deadlines, and deliver high-quality results in a fast-paced environment.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus.

Job Description

Purpose of job:

• Design and implement scalable data pipelines and ETL processes for extracting, transforming, and loading data from various sources.
• Optimize and monitor data workflows to ensure data quality, reliability, and performance.
• Provide clean and comprehensible data to end-users that can be efficiently used to create KPIs or for analysis purposes
• Automate data and reporting to support data analysis, data science, and the business.
• Collaborate with cross-functional teams to gather requirements and understand data needs for business intelligence and reporting.
• Mentor and provide guidance to team members.

Main Responsibilities:

• To create/automate data pipelines on Azure cloud and on-premise infrastructure.
• To monitor all data pipelines to ensure they run smoothly and fast.
• Enhance and streamline business intelligence tools, processes, while implementing them strategically
• Participate in the development of data warehouse and its design
• Developing data marts and data cubes to support data self-service initiatives across the Group
• Improve database query performance to improve end-user querying and reports generation
• To support ad-hoc data requests to the business and third parties.
• Create/maintain technical documentation for BI interface, e.g. API documentation, known technical issues, etc

Main Duties

• Ensure all regulatory returns are prepared accurately and in compliance with local reporting requirements which includes ACRA and MAS related submission.
• Co-ordinate the monthly, quarterly, and annual closings of financials with Technical Accounting and Finance Operations
• Review closing journals and entries for accuracy, conduct thorough financial analysis and ensuring consistency with budget expectations and reforecasts.
• Assist in preparing the IFRS17 trial balance and corresponding reporting to home office, including attending to associated queries.
• Coordinate with the tax agent for all the necessary tax submissions.
• Coordinate and support annual audit activities by ensuring timely preparation of Financial Statements and supporting schedules. Facilitate communication and information exchange between external auditors and internal teams.
• Assist in resolving audit queries and ensuring compliance with audit requirements and deadlines.

Experience

• 3 – 5 Years of working experience, with at least 3 year of experience in data engineer.Cloud Technology, Microsoft SQL Server and Data warehouse.

---------------------------

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· Degree in engineering, computer science, information systems or equivalent

· Certification in these areas is a plus: PMP, PRINCE2, CBAP, ITIL

· Min 3-5 years of experience managing SAP data migration, roll out and implementation projects and is familiar with SAP implementation methodologies

· Possess strong project management skills with a track record of delivering projects on time and within budget

· Experience seeing through a business process-reengineering program and knowledge of plant maintenance best practices an added advantage.

· Strong problem solving and analytical skills

As part of our recruiting process, we would like to request all interested applicants to apply directly through TD's Careers Site at:

https://td.wd3.myworkdayjobs.com/en-US/TD_Bank_Careers/job/Manager--Data-Scientist_R_1374551

Job Description:

Provide technical leadership across the Analytics function supporting fraud and financial crimes with an enterprise mandate. Role generally provides deep technical knowledge and expertise in customer interactions and financial crimes (including Fraud and AML) to explain complex data analysis and drive insights in a compelling manner to support a growth mandate and inform strategic change.

KEY ACCOUNTABILITIES

• Provide deep technical leadership and expertise to support and define future direction in one or more specialized areas or lead strategic development efforts on new or emerging data science related projects
• Work closely with business owners to identify opportunities and serve as an ambassador for data science
• Play a lead role on cross functional teams of data scientists, data and IT engineers, and business process owners to build cutting edge analytic solutions
• Design and deliver enterprise analytic solutions to our customers
• Develop powerful business insights from customer behavioural data and signals using advanced machine learning techniques
• Build complex statistical models that learn from and scale to petabytes of data.
• Provide analytical thought leadership and staying current on developments in data exploration and the application of data science
• Provide thought leadership and/or broad industry knowledge across multiple business / functional areas or across the enterprise
• Apply industry / analytical expertise to provide innovative and sound solutions that increase business results and/or minimizes risk
• Identify new analytical trends / data needs and repeatable analytic solutions and works with stakeholders to generate hypothesis and create analytical models that help answer impactful business questions
• Accountable for creating and implementing processes and systems to extract knowledge or insights from data of various forms either structured or unstructured.
• Employ techniques and theories drawn on many fields within the broad areas of mathematics and statistics
• Be comfortable working through ambiguity and help make informed decisions
• Work in a highly interactive, team-oriented environment with Big Data developers and Visualization experts
• Act as a lead or top technical data scientist and work closely with senior leadership on significant data and analytics projects
• Support a positive work environment that promotes service to the business, quality, innovation, and teamwork; ensure timely communication of issues/ points of interest
• Develop creative and innovative data driven analytical solutions to optimize operational efficiencies and leverage synergies to support overall business strategies
• Work effectively as a team, supporting other members of the team in achieving business objectives and providing client services
• Participate in knowledge transfer within the team and other business units, including participation in cross-functional groups or committees (e.g., Data Councils)

BREADTH & DEPTH

• Deliver advanced analytical capabilities above and beyond existing methods
• Exceptionally lead and run analytical projects autonomously and create and effectively deliver analytical presentations for executive audiences/stakeholders
• Extensive understanding of the business supported and the overall bank with deep expertise and highly specialized knowledge of analytical concepts and techniques

EXPERIENCE & EDUCATION

• Undergraduate degree or technical certificate
• 8+ years of relevant experience
• Comfortable and experienced with advanced coding (Python, pyspark preferred)

Role: Data Engineer

Relevant Experience: Minimum 3 Years Experience in Data Engineering

Work Location: Hampshire Road

Benefits:

Attractive Fixed Basic Salary

Performance Bonus

Office Hours Job

Great Learning opportunity

Health Insurance

12 days AL, 14 days MC & 60 days Hospitalization leave

Job Description:

AWS, Snowflake, backend development experience including language like Python, Java, Dot Net, Linux

• Data Processing: Develop and maintain data pipelines using Py-Spark to process large datasets efficiently.
• Data Warehousing: Utilize Snowflake for data storage, transformation, and optimization, ensuring data quality and integrity.
• Workflow Orchestration: Implement and manage data workflows using Apache Airflow to automate ETL processes and scheduling.
• Cloud Environment: knowledge of cloud resources for scalable and secure data maintenance.
• Troubleshooting: Identify and resolve data-related issues promptly to ensure smooth operations.

Company’s Profile:

Our client is an international technology and engineering company that specialises in providing innovative digital and security solutions to their esteemed clients. They are well-known for their dedication of quality delivery standards with more than 15,000 engineers globally supporting projects. They have an international presence in over 100 countries worldwide and are looking out for AI Engineers to join their team and contribute to their ongoing success.

Location: Ang Mo Kio/Yio Chu Kang area

Job Responsibilities:

• Design, build, and optimize machine learning models and algorithms to solve specific business problems.
• Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models into production environments.
• Train and fine-tune machine learning models using appropriate algorithms and techniques. Evaluate model performance using techniques such as cross-validation, hyperparameter optimization, and ensemble methods.
• Deploy machine learning models into production environments. Implement APIs and integrate models with existing systems and applications to enable real-time decision-making.
• Monitor model performance and address any issues or anomalies that arise. Continuously improve models by refining algorithms, optimizing code, and incorporating feedback from users and stakeholders.
• Perform exploratory data analysis, generate insights, and present findings to stakeholders, using statistical methods and visualization techniques.

Requirements:

• Education qualification in Computer Science, Data Science, Machine Learning or relevant field (Fresh grads or students currently pursuing this area of studies are welcome to apply)
• Work, project or internship experience in designing, developing, and deploying machine learning models in real-world applications will be a strong advantage
• Knowledge of machine learning algorithms, techniques, and libraries (e.g., TensorFlow, PyTorch, scikit-learn)

Interested candidates may whatsapp your resume to 6421 4965. Only shortlisted applicants will be contacted.

Cassie Chan | R2197426

Talentsis Pte Ltd | EA No: 20C0312

Position Overview:

We are seeking an experienced Data Architect to lead the design and implementation of advanced data solutions for our clients strategic financial services initiatives. The ideal candidate will have a deep understanding of structured finance, asset-backed lending, and expertise in modern cloud-based data architectures, particularly on Azure. This role requires exceptional skills in data modeling, analytics, and governance to enable the organization to leverage data for decision-making, innovation, and operational excellence.

Role Type – Contract Based
Role Tenure – 6 month to One Year
Location – Singapore
Requirement – Singapore PR

Key Responsibilities:

1. Data Architecture Design:

- Develop and implement scalable, secure, and robust data architectures to support structured finance operations, including credit analysis, loan servicing, and portfolio management.

- Design data models and solutions aligned with Azure data services to optimize performance and reliability.

2. Cloud-Based Solutions Development:

- Architect and implement cloud-native data solutions leveraging tools such as Azure Data Factory, Azure Synapse Analytics, and Azure SQL Database.

- Optimize the use of Azure Data Lake, ensuring secure storage, accessibility, and management of structured and unstructured data.

3. Data Integration and Pipeline Management:

- Design and manage ETL/ELT pipelines for seamless data ingestion, transformation, and integration across systems.

- Ensure real-time and batch data processing capabilities to support financial operations and analytics.

4. Data Governance and Compliance:

- Establish and enforce data governance standards, ensuring compliance with regulatory frameworks and industry best practices.

- Implement robust data security measures to protect sensitive financial information in line with GDPR and MAS regulations.

5. Analytics and Reporting Enablement:

- Collaborate with business teams to design dashboards and visualizations for actionable insights, using tools such as Power BI or Tableau.

- Support advanced analytics and machine learning initiatives for risk assessment and portfolio optimization.

6. Collaboration and Stakeholder Management:

- Work closely with cross-functional teams, including business stakeholders, data engineers, and analysts, to align data strategies with business goals.

- Lead technical discussions, provide mentorship to junior team members, and manage vendor relationships.

7. Continuous Innovation:

- Stay updated on emerging trends in data architecture, cloud technologies, and financial services to recommend cutting-edge solutions.

- Identify opportunities to enhance data operations through automation and AI-driven insights.

Qualifications and Skills:

- Experience:

- 8+ years of experience in data architecture, with at least 3 years in the financial services domain, focusing on structured finance and lending.

- Proven experience with Azure cloud technologies for data storage, processing, and analytics.

- Technical Expertise:

- Proficiency in Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and Azure SQL.

- Strong skills in data modeling, ETL/ELT design, and working with structured and unstructured datasets.

- Hands-on experience with big data frameworks and analytics tools like Power BI, Tableau, or similar platforms.

- Domain Knowledge:

- Understanding of credit evaluation, deal structuring, and regulatory requirements in the financial services sector.

- Familiarity with risk management frameworks and financial performance metrics.

- Soft Skills:

- Strong communication and stakeholder management skills, with the ability to translate technical concepts into business value.

- Analytical mindset with attention to detail and a passion for problem-solving.

Preferred Certifications:

- Microsoft Certified: Azure Data Engineer Associate or Azure Solutions Architect.

- Certifications in data management or analytics, such as CDMP or equivalent.

What We Offer:

- An opportunity to work on impactful data-driven projects in the structured finance sector.

- A collaborative and innovative environment focused on professional growth and cutting-edge solutions.

- Competitive compensation and benefits package.

The Technical Lead will be a key member of the data engineering team. He/she will support the delivery team in designing technology solution to help address complex business and process challenges in client organisation. He/she will ensure the proper and smooth implementation of the technical design.

Job Responsibilities

· Collaborate with project team and client to determine business requirements and environment.

· Provide guidance and quality assurance of development-related project deliverables such as performance, scalability, usability, security, integration complexity and operational costs.

· Assist in proposal development, proof of concepts and provide proposal cost estimation.

· Engage stakeholders to explain the rationale of architecture’s selection, technology choice and integration solutions.

· Provide support and clarification to data engineering teams if there are queries on the technical specification.

· Identify opportunities to improve productivity and optimise / automate processes via the adoption of new technologies or other means.

· Help resolve technical problems as and when they arise

· Coach, develop and supervise team members.

Job Requirements:

· A minimum bachelor’s degree in Computer Science or related fields.

· Managed at least 2 to 3 end-to-end data warehouse / data lake / data visualisation implementation

· Possess 5 or more years of Enterprise Data Management experience.

· Proficient with at least one of the following technologies: Informatica, SSIS, SQL Skills, SQL Server, Azure Data Factory, Data Warehouse, ETL Framework.

· Possess excellent knowledge about: Power BI, Qlik Sense, MicroStrategy, SAS and Tableau. Preferably possess a good knowledge of AWS/Azure services, Hadoop Ecosystem, Data APIs, Unstructured Data and Data Modelling.

· Able to lead multiple teams and effectively work under pressure when there is an escalated demand in project lifecycle.

· Excellent stakeholder management and influencing skills covering colleagues, partners/vendors.

· Strong problem solving, quantitative and analytical abilities.

· Excellent communication, presentation, collaboration, and delegation skills.

· A client-centric, outcome driven and quality focused team player

Zenith Infotech is a Tech Recruitment Company in Singapore for the last 27 years. We are looking for a suitable candidate to fill the above position of BI Engineer.

Responsibilities: As a BI Engineer, you will be responsible for developing and maintaining the Microstrategy setup within the overall Data Platform. The engineer must be able to discuss requirements with the clients and support in setup and issue rectifications.

Top 3 skills (must have)
1. MicroStrategy Business Intelligence
2. ETL Pipelines
3. Data Modeling Techniques and Methodologies , strong MSTR knowledge

COMPANY DESCRIPTION

As the world's leading owner and operator of LPG carriers with five decades of operating experience, BW LPG promotes competitive, sustainable solutions to secure value for society and our stakeholders.

Our global footprint spans seven countries with 17 nationalities represented across our workforce. Our fleet of 39 Very Large Gas Carriers (VLGC) offer a total carrying capacity of over 3 million CBM. From spot voyages and time charters to Contracts of Affreightments (CoAs), our emphasis on flexible, reliable service has earned the trust of leading oil companies as well as trading and utility companies. More information about BW LPG can be found at www.bwlpg.com.

BW LPG is associated with BW Group, a leading global maritime company involved in shipping, floating infrastructure, deepwater oil & gas production, and new sustainable technologies. Founded in 1955 by Sir YK Pao, BW controls a fleet of over 490 vessels transporting oil, gas and dry commodities, with its 200 LNG and LPG ships constituting the largest gas fleet in the world. In the renewables space, the group has investments in solar, wind, batteries, biofuels and water treatment. BW LPG, as a member of the BW Group, is one of Forbes World's Best Employers 2023.

RESPONSIBILITIES

Summary:

The Senior Data Engineer has a role focusing on building our modern Lakehouse including owning pipeline development, data modeling and governance within a cross-functional team responsible for the end-to-end delivery of data products and analytics solutions.Additionally creating CI/CD pipelines for automated deployments and monitoring, and enforce data quality checks, ensuring data consistency, reliability, and compliance.

Key Responsibilities:

Working with Product Owners, Business Analysts and Data Analysts to ensure business requirements are translated into data solutions, deliver accurate and reliable datasets that enable impactful analytics and dashboards.

They collaborate with System Analysts and the Business to understand the business logic and data lifecycle within our systems and inform our solution design with a goal of balancing scalability and performance.

Skills:

• Collaboration and Communication Skills: Excels at working in a team to align data solutions with business needs, focused on creative problem-solving in a fast-paced environment.
• Analytical Thinking & Communication: Strong skills in analyzing and translating data-driven insights and requirements to both technical and non-technical stakeholders.
• Spark & Azure Databricks: Proficiency in designing and implementing data pipelines to support reliable data ingestion and transformation using Databricks and Spark.
• Data Modeling Expertise: Advanced SQL and Python skills for complex queries and data modeling, enabling efficient data access and transformation.
• CI/CD Pipeline Creation: Experience in creating CI/CD pipelines, enabling automated testing, validation, and deployment of data pipelines models using GitHub and GitHub Actions with Databricks.
• Infrastructure as Code: Experience in automating cloud infrastructure management for consistent deployment and scaling using tools like Terraform.

• 5+ Years in Data Engineering: Proven experience building and maintaining data infrastructure, with a deep understanding of data engineering principles and best practices.
• Agile Mindset and Experience: Thrives in Agile Environments, with a strong resilience, adaptability and responsiveness to change in fast-paced settings.

The position will be based in Singapore.

Only shortlisted candidates will be notified.

Job Scope:

Working with Engineering Teams internationally, the Data Solutions Architect provides and manages high quality architecture and design of Data Solutions for Banking Applications used for Capital Markets and Market Risk of an International Bank.

Job Requirements:

• Bachelor Degree in Computer Science / Information Technology
• At least 8 years of software development experience with ability to resolve complex IT issues
• Experienced in leading technical design from inception to proof of concept
• Highly proficient in using advanced features in Java programming language
• Java 8 development with multi-threading principles, good knowledge of Java data structure and objects
• Good knowledge of algorithms and data structures
• Strong fundamentals in data complexity analysis
• Understanding of CI/CD pipelines, and tooling
• Experience in Apache Storm, Flink and Spark
• Experience in cloud technologies
• Experience in Parrallel processing of the message transformation pipeline to fPML, Json and key/value
• Kafka publishing/distribution primarily and MQ
• Microservices, defining APIs and registering APIs in the service catalogue, APIs and functions
• Experience with Jira tracking system
• Experience in Agile methodology

Please feel free to reach out to Christopher Wong at [email protected] with your updated CV in MS Word format and we will arrange for a convenient time to speak more.

✨Lead with Purpose, Ignite New Opportunities, and Shape your Future!✨

We are one of the leading Sales & Marketing company assisting our established clients in providing them a one-stop solution to increase their sales revenues and market shares through face-to-face marketing.

We are looking to develop the next talent from scratch in our industry to a business partner in the future. If you have the desire, our systems have set many talents just like you!

What you will be doing:
- Ensure customer satisfaction

Job Summary

A great opportunity as a Data Engineer to work in cloud based data engineering, analytics and data management team in a well established company.

Mandatory Skill-set

• Bachelor's Degree in Computer Science or equivalent;
• Minimum 5 years of experience in data engineering and data management;
• Hands on technical experience in Azure Data Factory, Databricks, Synapse, SQL Server Integration Services;
• Strong experience in Python / SAS / R along with Tableau / Power BI;
• Strong experience in gathering business requirements and translating into technical specification;
• Strong analytical skills with high curiosity to deep dive into root cause of problems and suggest solutions;
• Has good stakeholders management experience;
• Attention to technical details;
• Ability to deliver tasks on time with high quality outcome;
• Self motivated and ability to take ownership;
• Strong written and spoken communication skills.

Desired Skill-set

• Azure Data Engineer Certified;
• ITIL certified;
• Prior experience in Python, R or Machine Learning tools.

Responsibilities

• Design and develop data models, ETL pipelines, data integration process while ensuring data accuracy and quality;
• Perform data analysis of structured and unstructured data and perform business intelligence initiatives such as build user friendly reports using data visualization tools;
• Analyze ETL requirements from users and provide solutions accordingly;
• Responsible for planning and executing data profiling and data quality analysis;
• Monitor data pipelines, databases and analytical processes to ensure smooth operations;
• Identify and resolve data-related issues, performance bottleneck and data quality problems;
• Design and document data catalogs and data architectures;
• Perform regular data cleansing exercise to ensure that data is of high quality and relevant to the business needs;
• Execute data transformation, correction and aggregations to ensure compliance with business / regulatory requests;
• Build and maintain reports and dashboards using suitable data visualization tools;
• Conduct analysis on the reports and translate the findings into valuable insights to business users;
• Prepare data for prescriptive and predictive modelling;
• Perform database monitoring and performance tuning.

Should you be interested in this career opportunity, please send in your updated resume to [email protected] at the earliest.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website (https://www.sciente.com/privacy-policy).

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

Job Title: Temp Staff - Data Entry & Admin
Job Location: Fusionopolis, Singapore
Job Type: Contract - 3+3 Months
Working Hours: Mon - Fri: 8:30 AM - 6:00 PM

Job Description

Seeking motivated individuals with a keen eye for detail , with experience in data entry, data creation and editing of basic descriptive information on materials. Tasks could involve performing data comparison between digital repository systems and databases.

Job Requirements

The candidates should preferably have:

• Diploma holder
• Experience using Microsoft Excel and data entry;
• Experience working with processing archival collections; and
• Ability to adapt easily to changing priorities and task assignments.

If you are interested, kindly send your resume (in MS Word format) to Mounika at [email protected] stating your salary expectations & availability to take it forward.

All Curriculum Vitae will be treated with the strictest confidentiality. By sending us your personal data, you are deemed to consent to RMA Consultants Pte Ltd and its affiliates collecting, using and disclosing your personal data for the purposes set out in our Data Protection Policy at http://bit.ly/3GHgsknand Privacy Policy at http://bit.ly/3W63rp7.

This is in partnership with the Employment and Employability Institute Pte Ltd (“e2i”).

"e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to RMA Groups’s PDPA and e2i’s PDPA.”

Mounika Tanuku|EA Regn. No. R22109193

RMA Consultants Pte Ltd|EA Licence No. 93C4403

Peircetree EA Pte Ltd is a cross-border service organization with plenty of exciting businesses in the import/export, F&B, and consultancy industry. Headquartered in Singapore with its’ subsidiaries in South Korea, Hong Kong, Thailand, and Philippines, customer satisfaction is our top priority to support individuals and other companies in the South East Asian region to reach their individual and business needs as a one stop service organization.

As a full time Admin Clerk, you will be working mostly with the Management team to support their administrative needs.

Job Scope:
- Doing data entry and assisting to update reports

- Assisting to sift through company emails and redirect them to the relevant personnel

- Helping to sort out company’s physical mails and highlight importance to action (if any).

- Assist to reply to standard email enquiries. (Training will be given)

- Helping Management team to liaise with associates (Training will be given)

- Helping to upkeep office housekeeping, stationeries, office equipment stock.

- General administrative duties

- Assist with receiving stock from suppliers for export part of business

- Assist with liaising with freight forwarders to dispatch exports

- Assist to find suppliers for F&B part of the business

- Assist with ordering equipment for F&B part of the business

- Assist with the management of employees’ data and records

- Other duties as assigned

Job requirements:

- Permanent full-time position

- Singaporeans or PR only

- All racial demographics are welcomed

- Minimum ‘O’ levels or NITEC

- Fresh graduates welcome

- Ability to use Microsoft Excel, words, and powerpoint

Schedule:

- Mondays to Fridays

- 9am to 5pm or 10am to 6pm (including 1hour lunch break)

Benefits;

• Fun, interesting, and challenging environment covering different industries to learn from and develop a range of skills
• Structured work schedule
• Opportunities for upward mobility. Gateway to professional growth
• Additional required trainings to enhance job skills will be covered by the company
• Yearly bonus based on performance review

[Order Number: 824090]

Responsibilities

• Perform accurate and efficient data entry tasks, including inventory, sales records, payment, and shipment details.
• Maintain and organize records of shipments, costs, and delivery schedules.
• Generate periodic reports (i.e. payment & shipping timing) for management.
• Any other ad-hoc duties assigned.

Requirements

• Candidate must have at least 1 years of experience in data entry
• Experience in shipping management or delivery management is an added advantage

We regret that only shortlisted candidates will be notified. However, rest assured that all applications will be updated to our resume bank for future opportunities

Please kindly refer to the Privacy Policy of Good Job Creations for your reference:
https://goodjobcreations.com.sg/en/privacy-policy/

EA Personnel Name: Lim Lai Xin
EA Personnel Reg. no.: R2197913
EA License no.: 07C5771