Job Description:

• Participate in the development and construction of the data platform.
• Implement and maintain data collection, processing, and analysis processes to ensure data accuracy and completeness.
• Collaborate with other departments and teams to ensure integration and coordination with other key systems.
• Conduct technical research and tackle technical challenges to ensure system availability, stability, and scalability.

Job Requirements:

• Familiar with the big data product ecosystem, including but not limited to Flink, Spark, Hive, Kafka, Doris, etc., with extensive practical experience in architecture design and performance optimization.
• Solid foundation in Java programming, understanding of I/O, multithreading, collections, and basic frameworks, with some knowledge of JVM principles.
• Proficient in using development framework technologies such as Spring Cloud and Spring Boot.
• Good logical thinking and quick problem-solving abilities, able to quickly identify problems and propose feasible solutions in complex product technical and application scenarios.
• Strong sense of responsibility, keen interest in big data-related technologies, and strong continuous learning and self-motivation abilities.
• Proficient in English and Mandarin to effectively communicate with colleagues in different regions and shareholders.

Job Description/Responsibility:

1. Provide CAD support for Land & Hydrographic Survey projects.

2. Prepare and set up processing plan for assigned projects and carry

out processing for assigned projects.

3. Determine Processing/Drafting requirements together with Survey

Manager.

4. Organize, maintain and safekeeping survey data and AutoCad

drawings.

5. Responsible for correct processing of survey data and correct

technical data submitted for the report.

6. Maintaining clear and organized design documentation and

records.

7. Creates and modifies drawings for all projects according to the

effective procedures and standards.

8. Working rights required for this role.

9. Singaporean/SPR preferred.

Job Requirement:

1. Process data (CAD).

2. Good knowledge of AutoCad and possesses technical proficiency.

3. Conversant with Data Processing Software.

4. Attention to detail and time management enables efficient data

process for timely project delivery.

5. Good command of English language.

Responsibilities;
Write production code and develop applications/interfaces for Trading
Analytics.
• Co-design the architecture for Data Platform and Data Analytics, including the development of Data Lake/Warehouse, optimization of data ows, and highly automated data cleansing.
• Test and deploy algorithms, develop applications, and interfaces for various use cases in Markets area.
• Ensure that applications are properly documented, and that the implementation is in line with internal architecture guidelines and principles.
• Provide support regarding Data Analytics platform and software.
• Automate, monitor, and improve performance of quantitative models.
• Interact with stakeholders and external vendors to optimize data and software infrastructure.
• Assist Product owner with technical questions, creating reports and
implementation roadmaps, technology assessment and decisions.
• Work and collaborate with stakeholders in an Agile-based approach.

Qualications & Skills;
• Bachelor Degree in Information Technology, Computer Science,
Engineering.
• 7+ years of work experience as a Developer/Software Architect. Experience in implementing nancial software is a plus.
• Advanced knowledge of architectural design of real time Data Analytics solutions including Data Architecture, Databases, Data Lakes, Data ows, and Data transformations.

Advanced coding skills in programming languages such as Python, Scala, and Java. Previous knowledge of C++, C#, and/or Haskell would be a plus.

• Expert knowledge of Cloud Computing regarding one of Azure, Google Cloud, or AWS.

• Knowledge of Spark, Databricks, and Kafka.

• Previous knowledge of Oracle, MS-SQL, MongoDB is a plus.

• Experience with Jira, Jenkins, Git, Docker, Kubernetes, and Dash (or similar) is a plus.

• Knowledge of object-relational mapping and object-oriented databases.

• Experience with real-time analytics, OneTick and/or KDB+ is a plus.

• Knowledge of VBA, R, Matlab, Tableau, and PowerBI is a plus.

• Knowledge of Big Data, Machine Learning, and Quantitative Finance is a plus.

• Collaborative, team player, open minded, and easy to work with.
• Procient presentation skills and high attention to detail.
• Able to explain technical results to nontechnical audiences.

Data Application Specialist

Responsibilities:

• You will collaborate with stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality.
• You will design, develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions.
• You will be responsible to create, design and develop intricate data processing pipelines.
• You write clean and iterative code for continuous delivery practices to deploy, support and operate data pipelines.
• Design and implement solutions around data warehouse implementation ranging from architecture, ETL processes, multidimensional modelling, data marts implementation.
• Design and optimize data acquisition, data ingestion, data processing using ETL (Extract, Load, Transform) tool and developing dashboards or other visualizations using Google Cloud Platform or other solutions.
• You will develop data models by selecting from a variety of modelling techniques and implementing the chosen data model using the appropriate technology stacks.

Requirements:

• From 2 to 4 years of experience working as a data engineer or related role.
• Hands-on experience in AWS Glue, AWS RedShift, Tableau, QlikSense
• Proficiency in handling programming languages projects such as Python, Java or Scala.
• Track record in implementing systems using Hive, Scala will be preferred.
• Strong in data modelling, data processing frameworks’ tools such as Hadoop, Spark, SQL is an advantage.
• Good understanding of analytics and data warehouse implementations
• Experience with Cloud Technologies is a plus.
• Good understanding and completion of projects using Agile methodology.
• Good written and verbal communication and interpersonal skills, ability to understand the business requirement, communicate confidently with stakeholders.
• Experience with industry standards within Data Management like ETIM, eCl@ss, BMEcat and other systems like ERP, PLM (product life-cycle management) and ecommerce platforms.
• Previous PIM system experience is a must
• Ability to speak and write in Chinese as the incumbent requires to liaise with the China HQ counterparts/personnel for work or project related matters

Interested candidates, please send your CVs on [email protected]

Regret to inform that only shortlisted candidates will be notified.

CEI: R1988671

EA License: 14C7275

Xaltius is a technology and data-driven company with the expertise to provide innovative software solutions and training to customers around the globe. We work to revamp and refine business potential, driving business excellence. As a maturing, tech-based company at heart, we are driven by the ever-changing dynamics of digitalization to provide personalized software solutions elevating business capabilities. Alongside our counterparts, we offer retail and corporate training in the fields of data analytics, data science, big data, and cloud technologies and have been actively doing that in Singapore since inception.

We are a diverse and value-driven team of knowledgeable and talented individuals, focusing entirely on achieving outstanding customer satisfaction. Being a young and fast-moving team, open-mindedness and flexibility define us. We strongly believe in educating and inspiring interested adult learners through our training sessions and are looking for enthusiastic and futuristic clients to collaborate with on IT projects.

This is a one year contract role with the need for the following:

Skills Requirement :

Areas of expertise are as follow (one or more):

• Advanced Python
• Data Analytics & Machine Learning with Python
• Microsoft PowerBI
• Statistics for Data Science
• Microsoft Excel (Data Cleaning, Functions, PivotTables, Pivotcharts)
• SQL and Database Design
• Tableau
• Deep Learning
• Big Data
• Data Bricks

Job Requirements:

• Preferably 2 years relevant working/ teaching experience in data analytics and in training professionals
• Masters specializing in Data Science is a plus
• ACLP/ACTA certified is a plus
• Excellent interpersonal and written communication skills
• Willingness and proactive to assist in troubleshooting and solving issues
• Passion towards learning new skills and knowledge, and imparting knowledge to others.

Our Company

Gentco Logistics is a leading international liquid chemical logistics provider with three core business units: chemical tankers (5th largest fleet globally), chemical tank containers (2nd largest fleet globally), and terminal storage tanks. Our global headquarters are in Shanghai, China, supported by a regional headquarters in Singapore and 40 operational offices across six continents. Gentco Logistics is wholly owned by the Junzheng Group (ticker 601216.SH).

The Opportunity

The Senior Data Engineer position is a part of the Global IT Department, which is directly overseen by the Group’s CIO. Our team currently comprises over 40 IT, software, and data professionals primarily based in Shanghai and Moerdijk (the Netherlands). With our IT presence in Singapore rapidly expanding, we are excited to invite you to join our team! As a Senior Data Engineer in our Singapore office, you will have the unique opportunity to join a newly established data engineering team while being supported by our existing data engineering talent in Shanghai and Moerdijk. This role offers excellent career progression as you will take on a pivotal role in establishing and growing a local team in Singapore.

Job Responsibilities:

· Take ownership of the implementation and maintenance of critical pieces of our Azure ETL pipeline and data warehouse (ADF/DBT/Apache Airflow/AKS/Databricks)

· Assist in the maintenance of an existing data infrastructure (Azure SQL MI)

· Assist in the design and architecting of ETL/ELT pipelines, data schemas/models, and data marts for business users.

· Ensure the reliability and availability of core data infrastructure with proper monitoring and alerting systems to guarantee continuous data delivery to the business.

· Take ownership of data quality and governance. Collaborate with business and IT teams to establish and meet data standards, including developing automated data checks and data quality monitoring dashboards.

· Promote a culture of organizational learning by facilitating knowledge sharing and implementing best practices in documentation.

· Stay updated with current industry best practices and trends, and evaluate technical decisions at a business level.

· Provide leadership, guidance, and oversight to junior data engineers.

Requirements:

· Bachelor's or Master's degree in Computer Science or a related engineering field from a technical university.

· 4+ years of experience in data engineering

· 2+ years of experience with Azure data infrastructure (e.g. ADF, DBT, AKS, IaC).

· 1+ year of experience with Agile/DevOps tools (Git, Jira).

· Deeply knowledgeable of data warehousing best practices, especially in the Azure cloud environment, with a strong commitment to staying current with industry trends and future advancements.

· Thoroughly familiar with the relevant trade-offs within different data modelling schemas (e.g. 3NF, star, snowflake, data vault) and storage architectures (e.g. data warehouse, data lake, data lakehouse)

· Highly motivated, with a proactive approach to project ownership and accountability for outcomes and timelines. Committed to continuous personal growth and development within the organization.

· Fluency in both written and spoken English and Mandarin is highly desirable to effectively liaise with Chinese-speaking clients and counterparts, understanding their technical requirements.

Desirable skills

· Proven experience with cloud infrastructure at a global scale, with knowledge of navigating global data regulations at a technical level.

· Experience with master data management using modern MDM tools, ideally at a global scale and/or in a cloud environment.

· Background in the shipping/maritime or chemicals industry.

· Previous leadership experience as a lead engineer.

· Experience with PowerBI and Plotly.

What do we do?

Join the ride at SWAT Mobility - If you're up for a challenge with one of the most exciting startups in the field of Smart Mobility, Transit and Logistics Technology!

SWAT is a high-tech mobility company that focuses on dynamic, on-demand, ride-sharing technology. With our world-class routing platform, we have deployed our solutions for governments in Singapore, Japan and Australia. Having deployed in 8 countries, we also look at solving multiple mobility challenges including optimizing employee transport for large corporations, reimagining public transport, creating data driven intelligent transport planning and introducing high tech logistics solutions to bring higher convenience, better visibility and reduced cost to our customers.

We are on a mission to empower the world to move more with less.

SWAT is looking for a Business & Data Analyst to join the Analytics Team. The ideal candidate is someone who is able to think critically, is a self-starter, and comfortable with open ended problem solving. We value effective communicators with a positive work attitude that are motivated by the desire to learn, achieve and contribute.

Responsibilities

• Partner with sales and operations teams in developing pre-sales solutions, analyzing client data and validating solutions with our in-house simulation engine.
• Support analytics services delivering large-scale analytics consulting projects.
• Design and implement operational dashboards and queries for internal/external stakeholders to assist in pattern, trend and business insights identification.
• Write scripts to automate reports workflows and processing of large datasets.

Desired Skills

• Advanced Python knowledge
• Basic to intermediate SQL knowledge
• Ability to work with large amounts of data to discover patterns and trends and form conclusions based on findings. Must be extremely detail oriented.
• Ability to create beautiful, structured presentation decks
• Excellent analytical, communication and problem-solving skills
• Exposure to one or more dashboarding platforms (Tableau/PowerBI/Metabase)
• Knowledge of Geographical Information Systems (GIS) tools would be a bonus
• Experience in the transportation sector would be a bonus

Qualifications

• Minimum of 3 years experience in a Data Analytics role.
• Bachelor’s Degree or higher from a recognised university, preferably in a quantitative subject.
• If you are not from a quantitative subject you are still more than welcome to apply, so long as you are able to meet the technical skill requirements specified above.

Our client, a global leader in real estate and workplace management solutions, is seeking a skilled Data Center Operations Technician to support the daily operations of their data centers and critical facilities.

This role involves troubleshooting, coordinating vendor/contractor activities, and ensuring seamless operation and maintenance of infrastructure systems. If you are successful in this role, you will enjoy the following:
- Competitive salary and benefits package
- Opportunity to work in a renowned real estate firm globally
- Collaborative and dynamic work environment
- Professional development and growth opportunities


Key Responsibilities:
- Lead and manage contractors/vendors in daily data center operations.
- Monitor and inspect infrastructure systems, facilities, and environmental controls.
- Handle system alerts, incident management, and escalations for downtime.
- Oversee service desk operations and ensure adherence to safety practices.
- Liaise with stakeholders on utilities, building services, and system issues.
- Assist in disaster recovery planning and execution.
- Maintain and update records, permits, and asset databases as per CMMS requirements.
- Review operations periodically, report gaps, and prepare monthly updates.Key Requirements:
- Diploma in Computer Science or a related field.
- Relevant certifications such as Certified Data Centre Professional.
- At least 3 years of experience in data center operations, facilities monitoring, and management.
- Knowledge of data center facilities, including CRAC, fire suppression systems, water detection systems, and UPS.
- Familiarity with service desk operations and incident management processes.
- Basic understanding of MEP (Mechanical, Electrical, Plumbing) systems.


If you believe that you fit the requirements of this opportunity and this opportunity will contribute to your career aspirations, apply now via [email protected]!

Reg No: R22110957

EA License No: 20S0075

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.

We are hiring a HR Data cleansing Officer !

Contract Duration: 6 months (possible renewal)

Salary: $2,500 - $3,000

Working Hours: Monday to Friday, 9:00 am - 6:00 pm

Responsibilities:

• Design, develop, and deploy data tables, views, and marts in data warehouses, operational data stores, data lakes, and data virtualization platforms.
• Perform data extraction, cleaning, transformation, and flow, including web scraping as required.
• Build, launch, and maintain efficient, reliable large-scale batch and real-time data pipelines using data processing frameworks.
• Integrate and consolidate data silos in a scalable and compliant manner.
• Collaborate with cross-functional teams, including Project Managers, Data Architects, Business Analysts, and others, to develop scalable data-driven products.
• Develop backend APIs and manage databases to support applications.
• Work closely with fellow developers through pair programming and code reviews.
• Lead the design and implementation of data solutions in a big data environment.

Experience and Skills Required:

• Proficiency in data cleaning and transformation tools (e.g., SQL, pandas, R).
• Expertise in building ETL pipelines using tools such as SQL Server Integration Services (SSIS), AWS Database Migration Services (DMS), Python, AWS Lambda, and ECS Container tasks.
• Strong database design skills and experience with various databases (e.g., SQL, PostgreSQL, MongoDB, MySQL).
• Experience with cloud technologies (AWS, Azure, Google Cloud).
• Familiarity with big data frameworks and tools (e.g., Hadoop, Spark, Kafka).
• Knowledge of system design, data structures, and algorithms.
• Proficiency in scripting languages (e.g., SQL, Python).
• Leadership experience in data engineering projects.

ARE YOU SEEKING FOR GROWTH YET YOU WANT A FULFILLING CAREER?

Be ready to embark on a journey which offers you an exciting opportunity!

HERE’S A SHORT INTRO OF WHO WE ARE

Since 2005, finexis has been more than just a financial services provider – we are lifelong confidantes, guiding clients through every stage of their financial journey. As the largest and fastest growing independently-owned financial advisory firm in Singapore, we are proud to have over 900 consultants and staff, $1 billion in assets under advisory, and strategic partnerships, that establish us as a market leader in personalised financial services.

We deliver tailored financial solutions in wealth management, investment planning, and risk management, all driven by our mission to impact lives beyond finance.

WHAT TO EXPECT

This role includes reporting and data analytics, performance management, business partnering and decision-making support.

WHAT YOU'LL DO

• Support business performance management cycles, including planning & budgeting, target setting, performance review, providing management information and analytics (scheduled and ad-hoc), etc.
• Responsible for streamlining and controlling business and financial data processes to ensure the accuracy and reliability of reports and analysis
• Serve as subject matter expert in designing, building, and maintaining business intelligence tools and Tableau dashboards
• Conduct comprehensive market studies to generate actionable business intelligence and strategic insights
• Support initiatives to develop financial models, prepare business cases, and support the implementation of strategic initiatives
• Create and maintain reusable SQL scripts and macros to streamline data extraction, aggregation, and validation processes across multiple data sources
• Undertake special projects and assignments as and when required.

WHO YOU ARE

• Degree in Accountancy, Finance, or related disciplines
• 3 years of working experience in Big 4, financial services, or e-Commerce sectors with financial analyst exposure
• Hands-on experience with Tableau, SQL and Python are highly desirable
• Strong analytical and problem-solving skills, with the ability to exercise sound judgment and intuitive thinking
• In-depth understanding of data structures and data management
• Meticulous, problem solver with a can-do attitude and a desire to excel
• Team player with excellent verbal and written communication skills
• Ability to work in a fluid, dynamically changing, and results-oriented environment

· 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

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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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.

Job Description

• Industry/ Organization Type: IT / Software
• Position Title: Data Center Engineer
• Working Location: Boon Lay
• Working Hours: 5 days, Mon – Fri (Morning Shift 6 AM – 2 PM / Afternoon Shift 2 PM – 10 PM)
• Salary Package: Basic Salary up to $5,000 + AWS + Bonus
• Duration: Permanent Role

Key Responsibilities

• Perform periodic walk-through, validation of equipment status, amber lights check, etc.
• Review work order requests in the queue and respond to semi-routine work orders by adhering to commitment times.
• Escalate and expedite orders to appropriate teams upon standard operating procedures.
• Rack and stack semi-routine customer equipment tickets.
• Support datacenter standard operating cross-connect work order requests.
• Support standard operating testing and standard operating installations of customer assets.
• Support standard operating procedures of layer 1 cross-connect certification testing.
• Any other ad-hoc duties as assigned.

APPLY NOW!!!

• Diploma / Degree in IT/Computer Science, or related field.
• Minimum 1 year of IT experience or equivalent.
• Prior working experience in a Data Center, Network or Server environment would be an added advantage.
• Must be comfortable with shift rotation.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #66104 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it’s likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

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

Information:

• Salary: $2400 - $2800 Basic
• Attendance: $40
• Normal working hours: Mon-Fri, 8am-5pm
• Company transport at various location in the west

Responsibilities:

• Perform sampling incoming quality inspection
• Perform using equipment such as Vernier Caliper, Micrometer, Guages, Profile Projector and Smart Scope

Requirements:

• ITE/Diploma in Engineering
• Entry level

Interested applicants, send in your updated resume by clicking “Apply Now”.

Michelle Koh

EA License No.: 23C1894

EA Personnel No.: R1656105

We are seeking a skilled and motivated Data Engineer with expertise in Hadoop, Spark, OpenShift Container Platform (OCP), and DevOps practices. As a Data Engineer, you will be responsible for designing, developing, and maintaining efficient data pipelines, processing large-scale datasets. Your expertise in Hadoop, Spark, OCP, and DevOps will be crucial in ensuring the availability, scalability, and reliability of our ML Solutions.

Your main responsibilities will include:

• Implement data transformation, aggregation, and enrichment processes to support various data analytics and machine learning initiatives
• Collaborate with cross-functional teams to understand data requirements and translate them into effective data engineering solutions
• Ensure data quality and integrity throughout the data processing lifecycle
• 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
• Implement data governance practices, data lineage, and metadata management to ensure data accuracy, traceability, and compliance
• 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, Information Technology, or a related field
• Proven 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, Pig, 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 Graphana, Prometheus, Splunk will be an added benefit
• Strong problem-solving and troubleshooting skills with a proactive approach to resolving technical challenge
• Ability to manage multiple priorities, meet deadlines, and deliver high-quality results in a fast-paced environment

Description :

The role of a Marketing & Branding Specialist will be responsible for executing both sales and marketing strategies to promote our products/services and drive customer acquisition. This role combines creativity with analytical skills, and the ideal candidate will be able to work in a fast-paced environment while delivering results.

What you can look forward to:

• Vibrant and Fun Working Environment
• 1 to 1 Mentorship (NO Prior Experience Required)
• Travel Opportunities ( Covered by Marketing Organisation)
• Career Advancement Opportunities
• Competitive Salary and Performance-Based Incentives

Key Responsibilities:

• Develop and implement comprehensive sales and marketing strategies to meet company objectives.

• Analyze market trends and competitor activity to identify new opportunities for growth.

• Work closely with the sales team to align marketing initiatives with sales goals.

• Track and report on performance metrics to measure campaign success and sales progress.

• Coordinate events, webinars, and promotional activities to increase brand awareness.

• Build and maintain relationships with customers and prospects to encourage repeat business.

Requirements:

• 17 Years Of Age and Above
• No Prior Experiences Needed
• No Minimum Qualification
• No Ethical Issues

If you’re a self-driven, outgoing and sharp… We want you!!

Our organisation is looking for the next talent to develop in our industry to lead and manage marketing campaigns

Responsibilities:

- Brand representation of our reputable clients and their respective services

- Enhance customer acquisition through in-person interactions

- Provide excellent customer service

Perks:

- Travelling opportunities, both regional and international

- 1 to 1 Mentorship

- Advancement opportunities

- Competitive income

Good to have:

- Positive learning attitude

- Enthusiastic and Fun

- Team player

We regret to inform you that only shortlisted candidate will be notified.