Duration: 7 months
Salary: Up to $3,450/month

Job Responsibilities:

• Assessment of Data Breach Notification cases and submission of Data Breach Notification Case Assessment Report
• Administrative support for Data Breach Notification Cases
• Assist in preparation of case and complaints data for monthly and ad-hoc management reports
• Assist in ongoing GenAI Project (implementation of GenAI tool for Case Assessment and Investigation Report Summarization)

Looking for:

• Singaporeans only
• Min. Degree in any relevant field of study
• Preferable to have experience in report writing but not mandated
• Detail-Oriented

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:
Contact you about potential opportunities.
Delete personal data not required at this application stage.
To withdraw consent, email [email protected].
All applications will be processed with strict confidence.
Only shortlisted candidates will be contacted.


Chloe Chew (R1768631)
ScienTec Consulting Pte Ltd | 11C5781

Support data engineering tasks, including the implementation and maintenance of

data pipelines, as well as the rectification of broken pipelines. Maintain the data platform and perform regular software version upgrades across all environments, ensuring thorough testing and detailed documentation.

• Support daily operational needs by handling application configuration changes, managing user access request to application, addressing general function queries, and troubleshooting on issues.

Maintain platform on application administration, system connectivity, interface Integration and model deployment.

Perform source code review and configuration review periodically to ensure code quality and verify that sensitive information, such as secrets, is not hardcoded or embedded in source codes or configuration files.

• Periodic patching of Azure Cloud Servers

Develop business processes by engaging stakeholders to understand use cases for building data pipelines, performing data modeling, completing data collection forms, documenting use cases, defining data attributes within various data quality zones, and

establishing naming conventions for datasets. Experience and skills requirements

Degree in Computer Science, Engineering, or related disciplines

Must have minimum 3 years of working experience in this role.

Experienced in architecting, designing, developing, implementing and maintenance of data platform.

• Strong scripting skills in languages such as Python, PySpark, SQL, Bash, PowerShell, Git commands.

Experience with database technologes (eg. PostgreSQL, MS SQL, Oracle). Familiarity with Cl tools and technologies such as Jupyterttub, Gittab, Jenkins, Azure

Databricks and RStudio, PowerBl.

Experienced in containerization technologies Docker, Kubernetes • Experienced in geospatial tools such as Geopandas. PostGIS, and platforms like

ArcGIS Enterprise/Server. Familiarity with Cl tools and technologies such as G-tah, Jenkins, Azure Databricks and Jupyter Hub.

Experienced in Public Cloud Platforms-Azure, AWS Ability to work well with a tearn and be willing to leam

Other requirements

Must have good communication skills and the ability to

Understand and communicate in English, in speech and writing.

Work with other members in a dynamic and fast-moving team.

Work independently with minimum supervision.

Work on own initiative and adhere to deadlines

Added adrartens with the following.

Experience with database technologes (eg Postgresql, MS SQL Oracle

Infrastructure-as-code Toors Terraform, CloudFormation

Containenzation Technologies-Docker, Kubernetes Agle Management Tocis Confluence Jira Kanean board

Role: System Administrator

• Deliver technical support to users

Investigate and ensure support systems in a business run smoothly.

Provision new servers for ICT systems and websites.

Perform back-ups and manage virus control protection.

Diagnose and resolve hardware, software, networking, and system issues when they arise.

Document any changes and new processes.

Experience and skills requirements

Technical experience

General understanding of Network

7 to 10 years on Linux (RHEL/CentOS/Ubuntu) management

5 to 8 years of File Server. DHCP, DNS management

Ability to follow process such as ITSM (CI management. Change management, Incident management, etc)

Ability to create/modify script using Python Preference for computer-related majors

Certification

Relevant degree or diploma in Information systems or information technology.

Added advantage with the following:

2 to 5 years of Architecting in Public/Private Cloud

5 to 8 years of AWS/Azure environment management

1 to 2 years on managing Public Cloud (AWS/Azure)

2 to 5 years of Public Cloud migration Critical thinking and problem Solving

Famillarity with SQL and database operations

Great analytical skills

Strong troubleshooting skills

Good communication and interpersonal skils

COMPANY DESCRIPTION

Beyondsoft International (Singapore) Pte. Ltd. was set up in 2007 and established as the regional headquarters for the Southeast Asia (SEA) and European markets in September 2015. Based on our vision of "Using technology to promote social progress, economic development and become a global customer preferred partner" and our concept of "Beyond your expectations", Beyondsoft is committed to provide our customers in countries along the "Belt and Road" with comprehensive solutions and products and creating commercial value for customers to realizing continuous businesses development.

Our core business includes:

1. IT development services providing customers with IT consulting, software research and development, software and hardware testing, system integration and operation and maintenance, data analysis and other services;
2. New retail solutions and products through intelligent products, helping small and medium-sized enterprises (SMEs) realize the digital transformation of their daily operations;
3. Internet of Things (IoT) platform and solutions comprehensive use of IoT, artificial intelligence, big data, cloud computing and other technologies to provide IoT solutions for intelligent upgrades in cities, parks, buildings and industries, to create a smart future.

For more information, please visit www.beyondsoft.com.

RESPONSIBILITIES

• Implement projects within their emplaced practice to ensure service delivery and support to meet the intended availability, continuity and capacity requirements.
• Translate business requirement into infrastructure design.
• Work with service providers to design, develop, deploy and configure infrastructure to meet resiliency, availability and data integrity needs.
• Ensure compliance to Authority's Technical Architecture and SG-TRM, as well as IM8 and Authority IT Policies. • Manage Infrastructure projects and services to support application systems environments. • Request to provision new VMs for new systems.
• Manage system architecture, resource planning, infrastructure performance and system hosting environment from server hardware till OS layer (Excluding hypervisor and Storage) in support of new applications.
• Main infrastructure single-point-of contact for all new application system initiatives and to support/assist in application architecture design, integration and acceptance and infrastructure performance testing.
• Handover Infrastructure and Systems standard operating procedures and day-to-day performance/availability monitoring to Operations Engineer upon commissioning and completion of PGP. • Support Operations Engineer on Infrastructure and Systems.
• Assist in Infrastructure Architecture review, support and endorsement Review Hardening standards for OS, database.
• Hosting environment infrastructure on-boarding (design, setup, configuration, implementation, testing and commissioning of infrastructure components).
• Understand systems operations environment is expected.
• Manage Infrastructure projects and services to support application systems environments.
• Request to provision new VMs for new systems.
• Manage system architecture, resource planning, infrastructure performance and system hosting environment from server hardware till OS layer (Excluding hypervisor and Storage) in support of new applications.
• Main infrastructure single-point-of contact for all new application system initiatives and to support/assist in application architecture design, integration and acceptance and infrastructure performance testing.
• Handover Infrastructure and Systems standard operating procedures and day-to-day performance/availability monitoring to Operations Engineer upon commissioning and completion of PGP.
• Support Operations Engineer on Infrastructure and Systems.
• Assist in Infrastructure Architecture review, support and endorsement Review Hardening standards for OS, database.
• Hosting environment infrastructure on-boarding (design, setup, configuration, implementation, testing and commissioning of infrastructure components).

• Bachelor's degree in computer science/ information technology/ engineering or equivalent
• Minimum 5 years of experience in relevant fields such as delivering Enterprise Data Science and / or Big Data Platforms on AWS (Preferred) or On-Premise (Good to have).
• Hands-on experience with Linux RHEL (Preferred), Windows (Good to have), OS virtualisation technologies (Good to have), SAN storage (Good to have) and/or databases (Added advantage).
• Ability to take a broad, strategic perspective as well as drill deep to understand business needs and challenges.
• Ability to analyse and identify comprehensive solutions considering all functional implications while developing a workable solution.
• Hands-on experience in in developing DevSecOps and MLOps pipelines, either on Cloud (Preferred) or On Premise (Good to have) would be an added advantage.
• Knowledge with database technologies such as Microsoft SQL Server and MySQL. Working experience with both structured and unstructured data sets would be an added advantage.

Responsibilities:

• Deliver data centre operations support across multiple data centres

• Respond to all alarms/alerts set in Data Center Infrastructure Management (DCIM), Server Automation Operations System (SAOS), CCTV, Access Control Systems (ACS), and other functions (EHS, Security, etc),

• Provide deep understanding and intelligence of the criticality and impact of the incidents to the resolver groups.

• Ensure detailed records of alarm handling activities, including actions taken, resolutions in ticketing tools and file incident reports.

• Be available to coordinate as an incident commander in event of an issue.

• Support program managers and facilitate project deliverables, improve overall operational and engineering initiatives.

• Conduct root cause analysis (RCA) to determine recurring problems to their source.

• Employ in-depth questioning and analysis techniques such as five whys to determine the underlying cause of the incident or problem.

• Handle ticketing system

• Perform duties in compliance with SOP.

Requirements:

• Diploma/Degree in Information Technology.

• 2 years+ experience in command center, service center, or similar 24x7 operations center environment

• Ability to quickly triage multiple incidents and assign the right priority based on risk and confidence levels

• Knowledge of technical elements associated with systems such as IP Networks, DC Environment and Server Health.

• Outstanding verbal and written communication skills required, work with minimal direction, meeting goals, attention to details and an eye for continuous improvements

• Ability to successfully interact at all levels of the organization, including with clients, while functioning as a team player required.

• Basic working knowledge of data protection policies such as GDPR and the need to keep sensitive information secure.

Job Responsibilities

1. System Integration

• Interface with WhatsApp Business API and Help Desk systems to support message reception, distribution, and routing.
• Develop middleware for messaging to optimize cross-platform data synchronization and system communication efficiency.
• Integrate external APIs (e.g., flight, weather, hotel data) to provide clients with dynamic content.
• Ensure efficient data flow across systems, enhancing collaboration between systems and messaging services.

2. Knowledge Base Management and Optimization

• Build and maintain business knowledge bases, including playbooks, FAQs, and product information, ensuring data accuracy and timeliness.
• Optimize the knowledge base using vectorization techniques (e.g., embeddings) and Retrieval-Augmented Generation (RAG) to enhance contextual support for LLMs.
• Develop tools for automated knowledge base updates, supporting multi-language and dynamic content management.
• Collaborate with the NLP team to create efficient knowledge retrieval pipelines, enabling precise business context support for LLMs.

3. Data Stream Processing and Analysis

• Design and implement data pipelines for comprehensive workflows from collection, cleansing, storage, to analysis.
• Build real-time stream processing systems (e.g., Kafka or RabbitMQ) to ensure low-latency and high-throughput message transmission.
• Develop data monitoring tools to provide insights on performance, usage reports, and issue diagnostics.

4. LLM Support and Expansion

• Collaborate with the NLP team to optimize input data processing and context enhancement for LLMs.
• Provide API interfaces seamlessly integrated with the knowledge base, supporting multi-turn dialogues and complex task management via LLMs.
• Support future LLM projects, including multi-language conversations, sentiment analysis, and dynamic recommendation features.

5. Technical Support and System Optimization

• Optimize existing system architecture to enhance data flow and message processing efficiency.
• Diagnose and troubleshoot system issues to ensure high availability and stability.
• Participate in technical evaluations and introduce new technologies to deliver innovative solutions for business needs.

Job Requirements

1. Technical Skills

• System Integration:Proficient in RESTful API and Webhook development, capable of interfacing with WhatsApp Business API and Help Desk systems.
  Skilled in message queue tools (e.g., Kafka, RabbitMQ) to optimize message distribution and routing.
  
• Data Processing and Knowledge Base:Familiar with vector search technologies (e.g., FAISS, Elasticsearch) with experience in building and optimizing knowledge bases.
  Proficient in designing and optimizing SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB).
  
• Stream Processing and Automation:Experienced with real-time stream processing tools (e.g., Apache Flink, Apache Kafka Streams).
  Familiar with data pipeline tools (e.g., Apache Airflow, Luigi).
  
• LLM Support:Understand the fundamentals of large language models (e.g., GPT-4) and support RAG-based context-enhanced generation.
  NLP project experience is a plus.
  

2. Work Experience

• Bachelor’s degree or higher in Computer Science, Software Engineering, Data Science, or related fields.
• At least 3 years of experience in data processing, system integration, or backend development.
• Experience with distributed systems or knowledge base management is preferred.

3. Soft Skills

• Learning Ability: Passion for LLM and AI technologies with the ability to quickly grasp new skills.
• Cross-Team Collaboration: Capable of efficient collaboration with NLP, front-end development, and business teams.
• Problem Solving: Strong analytical skills to address complex system issues.
• Responsibility: Ability to independently drive project progress and deliver high-quality results.

Bonus Points

• Experience integrating WhatsApp Business API and Help Desk systems (e.g., Odoo, Zendesk, Freshdesk).
• Familiarity with vector databases (e.g., Pinecone, Weaviate, Milvus) or cloud services (AWS/GCP/Azure).
• Expertise in developing multilingual knowledge bases.
• Experience with large-scale system optimization or distributed system development.

Job Summary :

• Our Data Scientists use their domain expertise to identify where AI can speed up operations, reduce costs, increase productivity, personalise the client experience; and build and deploy AI models. We’re looking for brilliant minds who are intellectually curious, analytical and willing to learn, with a numerate background in AI, mathematics, engineering, sciences or related disciplines.
• Our Data Scientists use their domain expertise to identify where Artificial Intelligence (AI) can speed up operations, reduce costs, increase productivity and personalise client experiences. We’re looking for brilliant minds who are intellectually curious, analytical and love to learn.
• About our Digital Channels & Data Analytics (DCDA) team
• They support our corporate clients, by creating a more equitable, sustainable, and prosperous future for clients and global communities through technology, data and digital. They’re responsible for being an expert in digital products and services and partner with our sales and coverage teams.

About Corporate & Investment Banking (CIB)

• For more than 170 years we’ve support clients with their transaction banking, financial markets, corporate finance and borrowing needs and provide solutions to nearly 20,000 clients in the world’s fastest-growing economies and most active trade corridors.

Key Responsibilities

• Partner with stakeholders including our sales team, relationship managers, traders and leadership to understand where AI can optimise our business.
• Translate business requirements into AI solutions using Quantum Machine Learning techniques and define tangible, measurable and commercial success criteria
• Mine large sets of data to uncover trends, insights, and opportunities from multiple internal and external data sources.
• Enhance data collection methods through augmentation, normalisation, and outlier removal.
• Recommend appropriate AI solutions and train AI models.
• Deliver self-service dashboards to report on business use case and success criteria.
• Use data visualisation for predicted outputs and insights and to translate complete analytics into business language.
• Embed a framework of continuous monitoring to deployed models and solutions, for continuous enhancement.

Our Ideal Candidate

• Experience and education in AI, Mathematics, Engineering, the Sciences, or related discipline
• 3 + Years of experience in Predictive models, Quantum machine learning algorithms and large language models
• Data visualisation tools, including Matplotlib, Plotly, Power BI and Tableau.
• Natural Language Processing (NLP).
• Financial mathematics

Role Specific Technical Competencies

• Python programming.
• Financial mathematics.
• Time series analysis.
• Data governance and management.
• AI regulatory compliance.
• AI techniques utilizing quantum machine learning.

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

Duration: 1 year contract

Location: Raffles Place

Responsibilities

• Manage pipelines via channels such as sourcing, screening and referrals for multiple, complex searches to find and engage key technical talents of all levels.
• Collaborate closely with the Recruiting team (Recruiters, Coordinators, other Sourcers) & hiring managers throughout the recruitment lifecycle to ensure business's needs and goals are fulfilled.
• Develop a holistic business understanding and manage stakeholder relationships including HR, hiring managers, and external partners.
• Own and drive innovative sourcing strategies, initiate new projects and/or optimise current processes to improve recruiting process and efficiency
• Conduct complex data analysis and share up-to-date, accurate, and value-adding market intelligence to business leaders to support business growth.
• Prequalify potential candidates to determine their qualifications
• Own interview scheduling process and communicate logistics to both candidates and hiring teams
• Manage candidate communication throughout the recruitment process and providing feedback.
• Ensuring a great candidate experience and advocate company as a great place to work for all candidates.

Requirements

• Proven experience with research/sourcing tools (ie. Boolean, LinkedIn and other alternative sourcing techniques) to identify & engage passive candidates within the internet industry talent space.
• Strong analytical and problem solving skills with capability to analyze high amounts of data to support business strategies and decisions.
• Excellent interpersonal skills with the ability to build rapport quickly with stakeholders and communicate effectively across all levels of the organization internally, as well as externally.
• Sourcing experience in a high-volume environment (via search firm or in-house recruiting environment)
• Experience partnering with recruiters, hiring teams and external partners across different offices.
• Ability to contribute in a fast-paced work environment and prioritize multiple functions and tasks.

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

https://go.persolkelly.com/job/details/10306

We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394 • Reg No: R23117066 (CHEW KIA ZHENG)

Key Responsibilities:

• Develop dashboards to facilitate efficient data analysis for product performance, customer profiles, business insights and product effectiveness.
• Conduct quantitative analysis and data mining to support management decisions and provide data-driven recommendations.
• Organize and prepare regular reports relating to business performance and service usage.
• Work closely with the Data Engineer to develop models and bring up new predictive ideas.
• Hands-on with data ingestion, ETL process and automation across systems and platforms.

Key Requirements:

• Bachelor's Degree or related disciplines in Computer Science, Big Data, Data Analytics and Statistics.
• 1-3 years of experience in high data volume, unstructured data environments.
• Proficiency in SQL is a must, Good at Python is nice to have.
• Experience with data visualization tools such as Tableau, PowerBI etc. Must be strong in Excel.
• Strong logical thinking and problem-solving skills, ability to work independently and as a team member.
• Proficient in understanding business lingos.
• Good communication skills with the ability to share complex findings with both technical and non-technical audiences.
• Experience in transaction/E-payment industries is a plus.

Responsibilities:

• Understand the questionnair flow to come up with a suitable user interface and validation criteria.
• Create surveys in system by building questions, branching and error prompts.
• Create visually appealing and user-friendly solutions to improve engagement and satisfaction.
• Perform user acceptance testing, debugging of system issues and follow up with users on deployment/system issues.
• Collaborate with stakeholders to identify opportunities for process improvements and recommend system modifications.
• Communicate with stakeholders to ensure a smooth workflow throughout the survey.
• Document information from surveys creation to allow others to replicate the steps.
• Independent in handling surveys end-to-end; including dealing with issues arising from survey system.
• Design and implement experiments to test hypotheses and validate model performance
• Collaborate with internal and external stakeholders to create data solutions to suit their business needs

Requirements:

• Proficient in Python or R programming language
• Sound knowledge in Statistics and Machine Learning
• Experience in IT or database administration a plus
• Experience in UI/UX will be advantageous
• Analytical and logical thinking
• Good communicator and team player
• 5 days work week
• 6 months contract with possiblity of extension
• Location Central
• Salary up to $4,200 depending on experience

To apply, simply click "APPLY" and submit your curriculum vitae (CV) through GO, the official PERSOLKELLY job application platform.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg No: R1982883 (Koh Wei Ling, Gao Weiling)

GOREF:9039

Qualifications-

• 3-5 years of experience in data engineering or a related field.
• Strong knowledge of data warehouse concepts, ETL processes, and data modeling techniques.
• Experience with cloud-based data platforms (e.g., AWS, SnowFlake).
• Proficiency in SQL and experience with NoSQL databases.
• Experience with big data technologies such as Hadoop, Spark, or Kafka.
• Knowledge of data governance principles and data privacy regulations.

Job-Specific Technical Skills:

• Proficiency in Python or Scala for data processing and automation.
• Experience with ETL tools (e.g., Apache NiFi, Talend, Informatica).
• Knowledge of data visualization tools (e.g., Tableau, PowerBI) to support data quality checks and pipeline monitoring.
• Familiarity with version control systems (e.g., Git) and CI/CD practices.
• Experience with container technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes).
• Understanding of data security best practices and implementation.

Qualifications

Required Experience and Knowledge

• 2-3 years of experience in data science, machine learning, or a related field.
• Strong foundation in statistical analysis and machine learning algorithms.
• Proficiency in Python or R for data analysis and modeling.
• Experience with SQL for data manipulation and querying.
• Familiarity with data visualization tools such as Tableau, PowerBI, or Matplotlib.
• Understanding of customer lifecycle management concepts and metrics.

Job-Specific Technical Skills

• Proficiency in Python or R for data analysis and machine learning.
• Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.
• Knowledge of SQL for data extraction and manipulation.
• Familiarity with big data technologies like Hadoop or Spark.
• Experience with version control systems (e.g., Git).
• Understanding of data visualization principles and tools.

About Us
We are living in dynamic times. Technology is reshaping how we live, and we want to use it to redefine how financial services are offered. This is why we are coming together to unlock big dreams, and financial inclusion for people in our region is just one of them. We want to build a digital bank with the right foundation - using data, technology and trust to solve problems and serve customers.

We're seeking a driven and skilled Credit Risk Data Scientist to join our dynamic team. If you're passionate about predictive modelling, risk management, and leveraging cutting-edge technologies, this role offers an exciting opportunity to contribute in two key areas:

Credit Risk Models:

• Develop, maintain, and monitor predictive models for credit scoring, fraud detection, and suspicious activity prediction.
• Write high-quality, production-ready code for models to be deployed in the production environment.
• Deploy models in the MLOps production environment, maintaining and troubleshooting any issues.
• Support regular model performance reviews, audits, and recalibrations.
• Leverage alternative data sources to enhance underwriting and credit risk models.
• Ensure alignment with model governance, business, and regulatory expectations.

Data Analytics to Help Business:

• Collect, process, and analyze data to support statistical analysis and risk decision-making.
• Design, implement, and maintain performance reports and actionable insights dashboards.
• Provide data-driven insights and develop dashboards to support loan approval processes and business decision-making.
• Conduct in-depth analyses to identify trends, patterns, and anomalies in lending data that can influence credit risk strategies.
• Present model concepts and metrics to senior stakeholders and validators/auditors.

Experience and Qualifications

• Degree (PhD, Master's, Bachelor's) in Statistics, Mathematics, Economics, Finance, Risk Management, or related field.
• Proven experience building risk models such as Application Score, Behavior Score, PD, EAD, LGD (Basel or IFRS 9), especially for retail customers in diverse countries including Singapore.
• Comprehensive understanding of risk management throughout the customer journey within fintech or risk-focused environments.
• Domain expertise in retail credit products, banking, and regulatory frameworks (Basel, IFRS).
• Proficiency in Python, R, SQL, Snowflake and Data Visualization tools like Tableau.
• Technical proficiency in data retrieval, data modeling, data mining, and predictive modeling.
• Strong familiarity with advanced machine learning techniques, statistical classification/regression for credit risk.
• Exceptional problem-solving skills, detail-oriented mindset, and ability to thrive in a dynamic work setting.
• Bonus: Familiarity with implementing models using Terraform scripts, Docker/Kubernetes, CI/CD technologies, AWS, or MLOps.

Job Description:

1. Monitor and maintain critical data centre infrastructure, including power distribution systems (UPS, generators), HVAC systems, fire suppression systems, and access control systems.
2. Perform preventive maintenance on data centre equipment and systems.
3. Respond to alarms, troubleshoot issues, and ensure prompt resolution.
4. Liaise with the building landlord to coordinate maintenance schedules, address building infrastructure issues, and ensure compliance with safety regulations.
5. Support off-office hours activities, including responding to emergency alarms, performing on-call duties, and coordinating with vendors for emergency repairs.
6. Ensure strict adherence to data centre physical security procedures.
7. Follow documented incident response procedures, track incidents to closure, and communicate with stakeholders.
8. Generate reports to management, including monthly performance reports, incident summaries, root cause analyses, and status reports on ongoing projects.

Qualifications:

1. 3+ years of experience in data centre facility management.
2. Experience working in a 24x7 mission-critical environment.
3. Strong knowledge of electrical and mechanical systems in data centres.
4. Experience with fire suppression systems and access control systems.
5. Proficiency in troubleshooting and problem-solving.
6. Excellent communication and interpersonal skills.
7. Must have prior experience working in data centre operations in financial institutions.

Interested candidates may apply through the application system. We regret to inform only Shortlisted candidates will be notified.

EA License No. 01C4394 • RCB No. 200007268E •Derrick Tiew Yong Han EA Registration No. R1877971

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

• Data Center owner with strong presence in APAC
• Project Management - Engineering

About Our Client

My client is a prominent real estate investment firm headquartered in Singapore, with a diversified portfolio spanning commercial, retail, residential, and industrial properties across Asia and Europe. In recent years, it has expanded into the data center sector, developing and managing facilities in countries in APAC.

Job Description

• Responsible for setting, monitoring, and achieving service delivery performance objectives.
• Ensure all services are executed within agreed timelines and budgets.
• Collaborate with internal and external project managers to deliver products and services according to contracts or sales orders, adhering to project/fit-out budgets and schedules within the data center.
• Oversee vendor partnerships, including managing contracts and service level agreements (SLAs).
• Address customer-reported service quality concerns, working with the operations team and service owners to drive improvements.
• Facilitate regular customer meetings to assess service quality, monitor project/fit-out progress, and manage incidents.
• Act as the primary point of contact for customers throughout the service delivery process and during any interruptions.
• Lead customer audits and coordinate internal resources to ensure a seamless process.
• Contribute to quality initiatives focused on enhancing customer satisfaction and fostering business growth.
• Partner with the operations team and service owners to create efficient processes for new service provisioning.
• Develop and refine workflows and systems that support the sales and operations teams in capturing growth opportunities.
• Participate actively in audits related to data center certifications.

The Successful Applicant

• Diploma or Degree in Electrical Engineering/ Mechanical Engineering or equivalent
• Self-motivated with strong problem-solving abilities
• 5 years+ in project management of data center projects
• Excellent interpersonal skills with a track record of thriving in team-oriented environments
• Exceptional communication, presentation, and teamwork capabilities

What's on Offer

• Attractive package will be offered to the right candidate

Contact

Hazel Choi (Lic No: R24122391 /EA no: 18S9099)

Quote job ref

JN-112024-6593228

Phone number

+65 6533 2777

Michael Page International Pte Ltd | Registration No. 199804751N

The Opportunity:

• Experience in Hyperscale Data Center Project Mangement
• Office location: Central.
• Work hours: Mon to Fri
• $6,000 - $10,000 + Bonus

Adecco is partnering with a Global Data Center Owner to look for professional and confident Project Manager to handle internal stakholders and external parties to complete the Hypserscale Data Center within the regions.

The Job:

• Project Leadership: Plan, lead, and coordinate data center projects across all phases, from design and construction to operational handover, ensuring seamless execution from inception to completion.
• Technical Expertise: Leverage deep knowledge of data center infrastructure and construction processes to drive successful project outcomes.
• Project Management: Oversee project timelines, budgets, and quality to ensure delivery aligns with company objectives and industry standards.
• Stakeholder Engagement: Facilitate effective communication with diverse stakeholders, ensuring alignment and collaboration throughout the project lifecycle.

The Talent:

• Degree in Engineering/Project Management/Information Technology or technical field
• 5 years project management experience in hyperscale data center
• Knowledge in TIA-942, Uptime Institute Tier Standards, and LEED for data center project
• PMP/Prince 2 AND CDCP/DCDP is a bonus

Next Step:

• Interested applicants, please send your resume to [email protected] with your current and expected salary.
• Only shortlisted candidates will be contacted.

Job Descriptions:

1. Arrange and discuss with users to understand the reporting requirement, and document down the requirements into technical specification or mappings for development team to deliver

2. Identify the source data required for creation of the reports and dashboards, interpret the data to understand the relationship of different datasets

3. Facilitate the computerization of analytics and data collection processes

4. Collaborate with source system PICs to establish the data connection and data feeding automation

5. Work closely with existing Data Warehouse team to bring the data into DWH system for reporting and dashboarding

6. Carry out complex analysis of datasets and conduct appropriate data validation

Key skillset:

1. At least 3 to 5 years experience in BA, interfacing with Technical team and Business team

2. Knolwedge / Exeriece in Power BI , Qlik and data analytics is preferable

3. Banking knowledge and able to understand the corporate banking, trade finance

Data is core to Preqin’s industry offerings, and the Data and Research Management (DRM) team delivers accurate, timely and complete data enhancing the value of our award-winning offerings. The trust in our underlying content enables our clients to make key investment decisions. Besides collecting content, the data management team collaborates extensively with our internal and external clients to improvise our offerings leveraging technology and subject matter expertise. The team understands the life cycle of data and establishes business intelligence reports seeking operational excellence.

As a Associate, you will join the Data Shared Services (DSS) team and be responsible for maintaining existing data workflows & automation with opportunities to participate in building & executing new developments for the DRM department. This role will also include handling queries, responding to errors & feedback with stakeholders.

What you’ll be doing:

• Maintain, run & troubleshoot existing data workflows & automation
• Engage with stakeholders to answer queries, respond to errors and/or feedback
• Assist in building new data workflows & automation
• Assist in ongoing projects as well as adhoc data analysis

What you’ll bring to us:

• You are strongly self-motivated, proactive, and willing to learn
• Strong interest in building data tools & automation as well as analysing data
• Analytical and problem-solving mindset with ability to break down high-level requirements into actionable solutions and to think outside the box
• Strong communication skills to engage with internal stakeholders
• Proficient in Excel (preferably with pivot tables), experience with Alteryx is an advantage

Why join us?

About Us

You will be joining the world’s leading data and insights provider for the alternative assets market. We empower the global financial community with critical information and leading analytics solutions to help them make faster and smarter investment decisions, and to make them with confidence. A forward-thinking company, we lead our industry through innovation. We trust in the power of data, and we use it to increase transparency in alternatives. We believe that access to information leads to more investment in the ideas and infrastructure that build strong communities.

Our Culture
We centre our culture in our teams members growth, sparking their curiosity and fuelling their career adventures. We celebrate and recognise contribution, high performance and strong collaborative behaviours. We’re building and growing our learning programs, frameworks and tools to help people thrive and it's an exciting time to join us. We support our internal communities and donate our time, knowledge and support to the communities that surround our offices globally.

Equal opportunities

Preqin is an equal opportunity employer, with diversity at the heart of our business. It is the policy of Preqin to ensure equal employment and consider all qualified applicants without regard to race, colour, religion, sex, sexual orientation, marital status, gender identity or expression, national origin, age, disability, pregnancy, veteran status, genetic information, socioeconomic status, political affiliation, or any other basis prohibited by applicable law.

Today, Lonza is a global leader in life sciences operating across three continents. While we work in science, there’s no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people. In exchange, we let our people own their careers. Their ideas, big and small, genuinely improve the world. And that’s the kind of work we want to be part of.

Did you know that we are the 1st biologics contract manufacturer in Singapore? We offer you exposure to upcoming biotech and established pharmaceutical companies and to the manufacturing technology needed to produce mammalian treatments and cell therapies of tomorrow. Our global manufacturing network is recognized for its reliable, high-quality services, regulatory track record, global footprint, innovative technology platforms and extensive experience – we, in Singapore are proud to be part of this global network.

We are currently hiring a talented ERP Process/ Master Data Specialist to join our Supply Chain team in Singapore. You will be acting as the first level of support for the team, using your SAP knowledge to support the MRP and Production Scheduling team in planning and execution.

This is a great opportunity to explore multiple supply chain disciplines in the team and carve out an extensive supply chain career within Lonza.

Key responsibilities:

• Responsible for SAP Material Master Data maintenance, integrity and governance for all MM views for Raw Materials, Semi- Finished Goods and Finished Goods.
• Responsible for Material Data integrity of SAP Bill of Materials, Resources, Recipes and Production Version for all Semi-Finished Goods, Finished Goods and Services.
• Responsible for ensuring the integrity of SAP MM / PP with the other SAP modules in use (SD, WM, QM, etc).
• Responsible for liaising with IT teams for SAP MM / PP system configurations issues and troubleshooting.
• Assist and support users with regular Master Data maintenance and upload to ensure data integrity.
• Full ownership of the update of Raw Material Specification.
• Support the revision of administrative changes Raw Material Specification.
• Communicate effectively with internal (including global sites) and external customers as related to the planning of raw materials, semi-finished goods and finished-goods.
• Assist with creation and update of documentation and procedures guidelines for ERP systems users.
• Ensure compliance with Supply Chain planning policies, procedures and ethics guidelines are maintained.
• Participate in Kaizen/Hoshin event(s) that provide the business with process improvements for cost and/or time savings opportunities.
• Complete necessary projects or any other duties as assigned by your Manager.

Key requirements:

• Bachelor’s Degree in Supply Chain Management of Business Management, Chemical Engineering and/or CPIM Preferred.
• Experience with maintenance, creation and/or modifications of codes and functions within an ERP systems. SAP preferred.
• Ability to self-check in an effort to ensure accuracy of work.
• Strong analytical skills. Prior experience using Business Intelligence systems to extract data and generate reports is nice to have.
• Experience with MS Office Suite.
• Excellent Communication skills and attention to details.

Every day, Lonza’s products and services have a positive impact on millions of people. For us, this is not only a great privilege, but also a great responsibility. How we achieve our business results is just as important as the achievements themselves. At Lonza, we respect and protect our people and our environment. Any success we achieve is no success at all if not achieved ethically.

People come to Lonza for the challenge and creativity of solving complex problems and developing new ideas in life sciences. In return, we offer the satisfaction that comes with improving lives all around the world. The satisfaction that comes with making a meaningful difference.

This role is responsible for the design, development, testing, implementation and maintenance of data integration and data management solutions

Duties & Responsibilities Project & Support Tech Lead role

• Drive requirements gathering workshops to study as-is systems and processes and identify gaps between proposed design and gathered requirements
• Responsible for the high-level and detailed technical solution and design in adherence to data management and organization’s IT policies
• Responsible for the design, development, testing and implementation of data integration and data management solutions
• Responsible for data profiling and data quality improvement recommendation
• Lead technical members from different teams to deliver the end-to-end solution that meets time, scope and quality requirements
• Work with data engineers, data analysts and data scientists in the implementation of analytics solutions
• Work with OLTP systems and Enterprise Integration teams in the implementation of end-to-end data integration solutions

Tech research / evaluator role

• Responsible for greenfield data management technology exploration, innovation, evaluation and implementation
• Produce training materials and provide cross-skill / up-skill training or coaching to technical members

Requirements(Please state Qualification, Years of Experience, Knowledge & Skills required.) Work Experience

• At least 10 years of IT working experience, with 6 years strong experience in Informatica as ETL Architect/Lead and 2 years leading remote team.

IT Technical skills & knowledge

• Solid SQL skills, including experience querying and tuning large, complex data sets and performance analysis
• Knowledge in Python
• Must have Azure Data Factory, or Azure synapse analytics or Fabric Data Pipelines
• knowledge in MQuery or Dataflow Gen2
• Strong knowledge in ETL implementation from source APIs to target data stores like Azure, Amazon S3 and on-premises storage
• Good knowledge in network and/or operating systems
• Possess working experience in using globally recognized frameworks such as DAMA, ITIL, TOGAF, ISO/IEC27001 or CoBIT
• Certification in Microsoft Certified Fabric Analytics Engineer Associate preferred
• Data security, protection or privacy related certification is bonus

Non-IT skills

• Solid skills in cost-benefit analysis, selection, and implementation of data management technology to an organisation
• Experience in writing RFP specification is preferred

Education

• Degree or diploma in Data Engineering, Business Analytics, Information Technology, Computer Science or equivalent.
• Candidates with qualifications covering Business & IT domains are preferred

Other behavioural attributes

• Evidence of self-learning attitude to continuously improve knowledge and skills
• Strong verbal, written and interpersonal communication skills with the ability to interact and communicate effectively with all levels of management, users, and vendors
• Empathic personality with ability to communicate with all levels of management, users, and vendors. Has history of establishing win-win negotiation outcomes.
• Must be a good team player, proactive in nature, fast learner, highly organized and go-getter attitude with can-do spirit.

Internal ref: 9235

Regards,

Lini

Recruitment Consultant

R22108463

Responsibilities:

• Design, develop, and optimize large-scale data pipelines for efficient data collection, processing, and storage.
• Monitor and maintain data pipelines to ensure high availability and consistency.
• Develop algorithms for processing and analyzing large datasets.
• Utilize distributed computing frameworks like Hadoop and Spark for scalable data processing.
• Design and manage large-scale data storage solutions, including HDFS, Cassandra, NoSQL, and BigQuery.
• Implement robust data management practices to ensure data integrity and security.
• Collaborate with data scientists, analysts, and stakeholders to meet data requirements.
• Communicate complex data concepts effectively to non-technical stakeholders.
• Stay updated on the latest trends and advancements in big data technologies.
• Continuously enhance data infrastructure to improve performance and scalability.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science, or a related field.
• Minimum of 2 years of relevant professional experience preferred.
• Proven experience in designing and maintaining data pipelines and storage solutions.
• Strong proficiency with distributed computing frameworks, particularly Spark.
• Expertise in data management systems like HDFS, Cassandra, NoSQL, or BigQuery.

Responsibilities:

• Design, develop, and optimize large-scale data pipelines for efficient data collection, processing, and storage.
• Monitor and maintain data pipelines to ensure high availability and consistency.
• Develop algorithms for processing and analyzing large datasets.
• Utilize distributed computing frameworks like Hadoop and Spark for scalable data processing.
• Design and manage large-scale data storage solutions, including HDFS, Cassandra, NoSQL, and BigQuery.
• Implement robust data management practices to ensure data integrity and security.
• Collaborate with data scientists, analysts, and stakeholders to meet data requirements.
• Communicate complex data concepts effectively to non-technical stakeholders.
• Stay updated on the latest trends and advancements in big data technologies.
• Continuously enhance data infrastructure to improve performance and scalability.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science, or a related field.
• Minimum of 2 years of relevant professional experience preferred.
• Proven experience in designing and maintaining data pipelines and storage solutions.
• Strong proficiency with distributed computing frameworks, particularly Spark.
• Expertise in data management systems like HDFS, Cassandra, NoSQL, or BigQuery.

Maltem Singapore is currently seeking a Junior Data Management Specialist for our Wealth Management Client.

Summary:

Support Research Data Management BAU and projects.

Skillset Requirements:

• Possess a degree in Engineering, Computer Science/Information Technology or related fields from recognized tertiary institution.
• Data Operations, Data Quality Checks and UAT focused is a must.
• Relevant experience in interacting and liaising with Vendor counterparts.
• Possess 1 to 3 years of relevant data operations working experience.
• Experience in managing data reconciliation/quality checks/dashboarding (implementation, monitoring and troubleshooting).
• Ensure that the data issues are actively detected, tracked, and fixed without breaching SLA.
• Hands on experience in Snowflake and Tableau.
• Basic Python will be advantageous.
• Experience in performing User Acceptance Testing (UAT).
• Able to work closely with business end-users, Data Vendors, Data Product team and Data Engineers to facilitate ingestion of new data and provide support existing data while adhering to our established data framework processes.
• Experience in in providing documentation support, e.g. in technical/functional specifications.
• Able to provide clear requirements and collaborate with Data Engineers to enable robust and scalable design of data solutions for data ingestion and management across our diverse range of datasets.

About the role

Join our growing team at Thomson Medical Pte Ltd as a Medical Records Clerk working a 5-day work week. In this pivotal role, you will be responsible for maintaining accurate and up-to-date medical records, ensuring the confidentiality and integrity of patient information.

Job Responsibilities

• Oversees the smooth flow, confidentiality and maintain quality filing of case notes in Medical Records Office.
• Ensure proper storage and traceability of case notes in Medical Records Office.
• Retrieves case notes as required by requestors for various purpose and coordinates delivery/collection of case notes with requestors.
• Scan or fax requested documents to requestors and ensure all case notes are clerked and filled according to MRO policy.
• Tracks and documents irregularities in filing of case notes.
• Ensure all case notes are digitalized, stored at the designated storage company after coding, clerking and digitalization process.
• Maintains system in the storage of compact discs for scanned images.

Job Requirements

• Minimum O-level or equivalent qualification
• Proven experience as a Medical Records Clerk or in a similar administrative role within the healthcare industry
• Strong attention to detail and excellent organizational skills
• Proficiency in Microsoft Office
• Proficient in data entry and using electronic medical record systems
• Ability to work collaboratively as part of a team and independently

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

About NUS IT

NUS Information Technology is the cornerstone to providing reliable, high-performance and secure IT solutions and effective IT governance for the campus. Here at NUS IT, we aim to transform NUS into a borderless computing community providing knowledge at its fingertips by enhancing the use of effective applications and services for teaching and learning.

We drive a culture that is forward-looking. With a strong passion for IT, our people are always striving to improve, push boundaries and innovate with a "can-do" attitude. We embrace collaboration, open communication and knowledge sharing. If you see yourself thriving in a dynamic environment and breaking new grounds with innovative ideas, you will find yourself at home in NUS IT.

As part of our team, you can look forward an empowered work environment that allows you to take charge of your own career path. We provide competitive remuneration as well as flexible work arrangements to enable your growth and development. We pride ourselves on our diverse workforce and are committed to transforming NUS into a leading global University shaping the future.

https://nusit.nus.edu.sg/

Job Description

We are seeking an experienced Data Engineering Lead to oversee the data engineering team in NUS.

The role will be responsible for leading and guiding teams in the development of high-quality data lakehouse, ensuring they meet business needs and align with NUS strategic goals. The role will also ensure the proper implementation across all stages of the data lifecycle

This role will manage a team of 6 data engineers handling ELT/ETL framework and end-to-end data pipelines from various source systems to data lakehouse with a plan for future growth.

This is a hands-on leadership role and the candidate should have been on active hands-on development at least 5 years prior.

Duties and Responsibilities

Technical Expertise
• Participate in the technical design of data platforms and their technologies, including their framework, architecture, standards, and guidelines.
• Provide technical guidance and expertise to the team, helping to solve complex technical challenges.
• Stay updated about emerging technologies and industry trends to drive innovation within our organization.
• Ensure adherence to best practices in design, development, testing, and maintenance.
Leadership and Team Management
• Lead and mentor the team, fostering a culture of innovation, collaboration, and excellence.
• Provide direction and guidance to the team in managing the full data lifecycle.
• Perform Scrum Master role for the team.
• Develop and implement strategies to enhance team’s performance and productivity.
• Foster collaboration and high-performance culture within the team.
Delivery Management
• Ensure timely and high-quality delivery, aligning with project objectives, scope, and timelines.
• Oversee the design and implementation of data lakehouse to meet the university’s needs.
Quality Assurance
• Implement quality control and testing procedures to guarantee the high-quality delivery.
• Ensure data lakehouse aligns with the university's regulatory and compliance requirements.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Minimum of 7 years of experience in technical leadership roles, with a strong emphasis on data lakehouse and data engineering solutions.
• Proven ability to lead data engineering teams, promoting collaboration and achieving project objectives.
• Strong problem-solving and critical-thinking skills, with a proven track record of effectively addressing technical challenges and risk mitigation.
• Strong knowledge of quality assurance processes, encompassing testing methodologies, and quality control procedures.
• Relevant experience in designing, developing, and supporting data lakehouse and data engineering solutions.
• Strong verbal, written and interpersonal communication skills with the ability to interact and communicate effectively with all levels of management, users, and vendors.
• Must be a good team player, proactive in nature, fast learner, highly organized and go-getter attitude with can-do spirit.

Technical Expertise
• Strong working experience in end-to-end development of data lakes and data warehouses, preferably with experience in Informatica.
• Strong working experience in Azure Data services, preferably Azure Fabric.
• Strong database working experience for transactional and analytics systems, including querying and tuning large, complex data sets and performance analysis.
• Working experience in big data and DataSecOps is an added advantage.

Job Description:

• Must be a Diploma/Bachelor's Degree holder.

• Hands-on implementation experience in building full-stack Restful web Applications.

• Experience in the following domain area/Technology/Programming languages

• Communication/Data Protocols: Modbus, OPC UA/AD, IEC 101/104, TCP/IP, SFTP, MQTT, AMQP

• Programming languages: JavaScript, Python, C/C++, SQL

• Experience in Linux, Docker, PostgreSQL, And Firewall management

• Experience in Code Management and Deployment

• Certified in Microsoft Technologies will be an added advantage

• Knowledge in Azure Devops, Azure IOT and Azure sphere will be an added advantage.

Roles and Responsibilities:

• The candidate will be responsible for designing and implementing data acquisition solutions and systems that meet the requirements of our clients.

• The successful candidate will be expected to have strong problem-solving skills and be able to troubleshoot and debug complex issues.

• The candidate will also be responsible for developing and maintaining documentation for solutions, including design specifications and test plans.