We are seeking a proactive and skilled Data and Technology Specialist to join our People Technology team, which sits in the wider People team. This role is based in Singapore and focuses on supporting and optimizing our people (HR) systems, primarily Workday. The ideal candidate will ensure smooth operation of integrations, reporting, and security frameworks while also building new integrations as business needs evolve.

Wise has already pioneered new ways for people to transfer money across borders and currencies. Our customers can also manage their hard-earned money with the world’s first platform to offer true multi-currency banking. We’re 6000+ Wisers strong, with over 70 nationalities working in 25+ locations around the globe! 
This is a unique opportunity to join Europe’s most valuable fintech company at a pivotal time in evolving our global People technology, automation and data capability. Keeping a customer first mindset, you’ll be working closely with our People Technology Lead (Senior System Architect) in building, designing, delivering and maintaining Workday and all other People Systems across Wise.

Key Responsibilities:

Integrations Management:

• Monitor, maintain, and troubleshoot existing integrations across the HR system landscape.

• Design, develop, and deploy new integrations as required, leveraging Workday Extend or other relevant tools.

• Collaborate with internal and external stakeholders to ensure integrations meet business requirements and are scalable.

Reporting and Analytics:

• Develop and maintain robust reports and dashboards to support HR and business operations.

• Ensure data accuracy and alignment across systems for meaningful insights and decision-making.

Security and Compliance:

• Manage user access and role-based permissions within Workday and related systems.

• Ensure compliance with organizational policies, data governance, and industry regulations.

• Conduct regular audits to identify and address security vulnerabilities.

Collaboration and Support:

• Work closely with HR, IT, and external vendors to resolve system issues and implement enhancements.

• Provide training and support to HR and other stakeholders on system functionalities.

• Stay updated on Workday releases and best practices to leverage new features effectively.

We are partnering with a leading consulting firm seeking a skilled Data Architect with expertise in Azure and Databricks to design and implement advanced data solutions. In this role, you will collaborate with clients in the insurance sector, helping them optimize data strategies and drive business innovation.

Responsibilities:

• Design, implement, and maintain scalable and secure data platforms using Azure technologies.
• Develop and optimize data engineering pipelines using Databricks for analytics and reporting.
• Collaborate with clients to understand their business needs and translate them into tailored data solutions.
• Implement data governance and compliance frameworks to ensure data quality and regulatory adherence.
• Provide guidance on data architecture best practices to enable performance and scalability.

Qualifications:

• Strong hands-on experience with Azure Data Services (e.g., Data Factory, Synapse Analytics).
• Proficiency in Databricks and modern data engineering practices.
• Prior experience in data architecture within the insurance industry or related fields is advantageous.
• Excellent communication and problem-solving skills to collaborate effectively with diverse teams.

EA: 14S7084 | Registration No:R1981018

Senior Data Scientist

In view of business expansion, our client is seeking a Senior Data Scientist based in Singapore. The Data Scientist will design, build and execute machine learning techniques on large, complex, structured / unstructured data sets to find out hidden patterns and predictive signals.

The Responsibilities:

• Identify use cases allowing to take advantage of GenAI & Machine Learning capabilities
• Define data science approaches that fit with clients’ business challenges, using state-of-the-art methods to solve problems of large dimensionality in a computationally efficient and statistically effective manner.
• Build advanced algorithms, using statistical knowledge and machine learning techniques to identify trends, patterns and predictive signals on large data sets
• Interact with business stakeholders to understand business data and analytics requirements and identify data-driven business opportunities
• Responsible for explores information from multiple diverse sources, analyzing data and gain insights into business intelligence that is actionable
• Identify and uncover new opportunities, insights, trends, and patterns from analysis to key stakeholders/decision-makers
• Stay up-to-date with the latest data science and data engineering techniques and tools
• Deploy ML models into production (either alone or working with data engineers if necessary)

The Requirements

• Degree in Computer Science, Computer Engineering or a related field
• Over 5 years expertise in Data Science
• Good applied skills with statistical programming languages such as R, Python (NumPy, pandas), SAS, SPSS etc.
• Experience with machine learning frameworks (e.g scikit-learn, Spark MLlib, Caffe, TensorFlow) and/or data science platforms (e.g. SAS, Dataiku)
• Experience of ML and LLM libraries and tools such as MLFlow, Langchain to develop GenAI applications, model experimentation and basic UI development with libraries such as Gradio or Streamlit.
• Experience with No-Code/Low-Code GenAI tools such as Langflow, Flowise, Rivet
• Data-oriented background in SQL, data wrangling and data modelling
• Exposure to data visualization tools and/or charting libraries (eg. Tableau, Qlik, D3.js, GGplot)
• Familiar with deploying Data projects into cloud (e.g Azure, AWS, GCP)
• Team player with good interpersonal and problem solving skills.

Office Location: West

Kindly indicate your current/last salary details and also your notice period

Interested candidates kindly forward your CV to [email protected] (Dorothy Ma Li, Reg No: R1769176). Feel free to forward this great opportunity to someone who would be a great fit for this role.

All information will be kept strictly confidential. We regret to inform that only successful applicants will be contacted.

PeopleSearch Pte Ltd

EA License No: 16S8057

AI and Data Platform Solution Architect/Consultant is a pivotal role responsible for engaging with clients to understand their requirements, demonstrate the capabilities of Data and AI, particularly Large Language Models (LLMs), and architect solutions that meet their needs. This individual should possess a solid understanding of Data fundamentals, with a focus on AI and Analytics, and be adept at conducting Proof of Concepts (POCs) to showcase the effectiveness and applicability of AI & LLM in solving real-world problems. The role involves collaborating closely with sales teams, and clients to articulate the value proposition of Private LLM solutions and drive successful pre-sales activities.

5 days, Permanent, Paya Lebar

Our Client

Data Centre Builder , Data Center facility Management Company

Job scope

· Responsible for the management n implementation of data center building projects

· Plan and prepare work schedules when the project are awarded.

· Coordinate and manage work schedule, time line , progress with vendor and external contractor.

· Manage technical submission document and ensure technical drawing n material spec requirement are adhered to

· Regular site walk, Update client n company of project progress

· Resolve site issue with multiple parties

· Prepare n produce T&C report, SAT report and Test Script based on project/site requirement.

· Prepare and coordinate for Integrated Services Test (IST) with multiple parties before opening of data center

· Prepare operation n maintainence manual (OMM) and handover certificate.

Requirements

· Min Diploma in Electrical/Mechanical Engineering

· 3 years’ experience in data center M&E project management

Added advantage

· Proficiency with Authority and BCA Code of Practice.

Work location :Paya Lebar

Whats on offer

(1) Attractive package

(2) Stable Management

(3) Dynamic work environment

Please submit resumes(in MS word document format) to [email protected] with the following details :

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

Michelle Goh

EA License No : 22C1142

We regret that only shortlisted candidates will be notified.

Internal Code: AXI25001

*Internship period: At least 5 months, from January 2025

Headquartered in Singapore, Actxa Pte Ltd is a deep tech company founded in 2015 that leverages artificial intelligence to create next generation preventive healthcare solutions.

We create evidence-based, personalised health insights in the domains of physical activities, sleep quality, body composition, stress and recovery, heart health and blood glucose evaluation and monitoring.

To improve population health, Actxa establishes worldwide partnerships and research collaborations to develop critical preventive health models to help people avert chronic diseases such as diabetes and hypertension.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We have opportunities for you to grow your career path and are looking for talented professionals to join our team.

What will you do?

• Assist data scientists in performing public healthcare research and development in line with the organization's vision within the digital health and wellness domain
• Perform on-site or off-site data collection, data organization, storage and processing
• Develop data-driven solutions and insights based on data mining, statistical modelling and machine learning methods
• Perform algorithm testing and validation
• Documentation of research, experiments and modelling findings/results
• Opportunity to be the co-author of our research publications

What are we looking for?

• Year 3 or final year in Data Science, Computer Science, Computer Engineering or related discipline
• Passionate about data science and good working knowledge of Python, SQL and R
• Good understanding or experience in signal processing and machine learning is required
• Keen interest in digital healthcare, wellness and fitness domain
• A 'go with the flow' and positive attitude, adaptable to change and energetic
• Passionate about learning and working with new technologies
• A natural tenacity, resilience and determination

Who we are:

minden.ai is a technology venture founded by Temasek in strategic partnership with DFI Retail Group and coalition partners BreadTalk Group, DBS Bank, PAssion Card, Mandai Wildlife Group, Singtel, FoodPanda, GoJek and Great Eastern. We are on a mission to redefine the engagement between brands and consumers in Southeast Asia.

The way we work:

At Minden, we treat each other with respect. We embrace authenticity and transparency. We pride ourselves on agility and innovation, and believe in embracing continuous learning and self-improvement. We strive to be the preferred employer by providing comprehensive benefits, a dynamic and exciting working environment, work-life balance and effort recognition.

We are seeking for individuals with grit and passion, an insatiable intellectual curiosity and a heart for people to amplify effectiveness as a team.

As a Senior Data Engineer, you will:

• Contribute to the design and implementation of a scalable and reliable data platform based on the data mesh principles with modern data stack.
• Develop and maintain efficient data pipelines to ingest, transform, and store data from various sources.
• Collaborate with engineers across domains to understand their data needs and develop self-service data access tools and APIs.
• Contribute to the development and improvement of internal data products
• Partner with the data science and analytics teams to ensure their data needs are met.
• Follow and contribute to the continuous improvement of data standards and best practices.

What you should have:

• Bachelor's degree in Computer Science, Data Science, or related field
• 4+ years of experience as a Data Engineer or similar role. Additional experience as backend software engineer is preferred
• Proficiency in programming languages like SQL, Python, Java, or Scala, and experience with big data processing frameworks like Apache Spark.
• Experience with dimensional modeling, data warehouse and data lake.
• Experience with modern data stack (eg. Snowflake, dbt, airflow, etc) is a plus.
• Understanding of data mesh principles and concepts is beneficial.
• Experience working in an ambiguous, low control yet fast paced startup environment

The Role

The Data Scientist will implement cohesive data integration and analytics solutions involving both structured and unstructured data. Projects will include development of predictive, forecasting or operation research (optimisation) models as well as text mining and network analytics solutions.

Job Responsibilities

· Primarily responsible for applying the skills and knowledge gained about data analysis, analytics, data science to ensure the successful delivery of client engagements and initiatives within our Data and Analytics practice.

· Develop and manage the end-to-end lifecycle of analytics projects from requirement, data scoping, modelling to production (model deployment and monitoring).

· Attend and assist in facilitating project meetings / workshops with client working team members.

· Propose, implement, and validate algorithms, ensuring functional and non-functional requirements such as transparency, fairness, scalability, security, integration complexity and operational costs.

· Participate in software development processes and best practices, documentation of requirements and software codes during the software development lifecycle.

· Produce high quality deliverables/document, with-ready-to-use content.

· Drive a module or task within a project on their own with minimal supervision.

· Prepare user requirements and any data development work including documentation.

· Proactively perform research on the business, industry and functional domain of the client to stay up to date.

· Assist in developing project deliverables and assets such as templates, processes, reports, and presentation decks for the client based on the work assigned.

Job Requirements

· Bachelor’s degree in computer science, Mathematics, Statistics, Business Analytics or equivalent.

· Data Scientist – at least 2 years’ experience in data analytics fields/ML.

· Experience in data processing, feature selection, hyper-parameter optimization, model validation and visualization.

· Experience in data analysis / numerical computing / classical ML tools like Pandas, NumPy/SciPy, Scikit-Learn, or XGBoost.

· Able to develop SQL queries and working with data models.

· Experience in production software engineering routines such as test-driven development, code versioning with Git, conducting code reviews, and CI/CD.

· Familiar with object-oriented programming concepts and their application to data science pipelines.

· Deep and eager interest in emerging technologies and the ability to leverage the technologies into solutions to meet our strategic and operational client needs.

· A self-starter with an analytical approach to problem solving.

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

· Detailed oriented and is able to work in fast paced and agile environment.

· Excellent communication skills; both in written and spoken English.

Office Location : Central

Hybrid working arrangement

**We regret that only shortlisted candidates will be notified. Personal data collected will be used for recruitment purposes**

Data Scientist

Aon is in the business of better decisions

At Aon, we shape decisions for the better to protect and enrich the lives of people around the world.

As an organization, we are united through trust as one inclusive, diverse team, and we are passionate about helping our colleagues and clients succeed.

About ACIA

Aon’s Centers for Innovation and Analytics are at the heart of delivering Aon’s Data & Analytic Services team’s mission to: Accelerate the rate of innovation through digital solutions to help better respond to clients’ evolving needs. Provide foundational data and analytics capabilities in one place for 50,000 Aon colleagues and our global clients who use our risk and people solutions.

Established in 2012, there are over 100 colleagues in Singapore’s Centre today including actuaries, software developers, data scientists, financial analysts and accountants. We are expanding rapidly and looking for dedicated individuals who can leverage emerging technologies and collaborate across Aon’s solution lines to help clients and colleagues make better, data-driven decisions today and tomorrow.

What the day will look like

• Brainstorm innovative ways to use our unique data to answer business problems.
• Provide technical leadership in a team that generates business insights, identify impactful recommendations, and communicate the findings to clients.
• Collaborate with a team of experienced actuaries, data engineers, developers, and business experts to deliver on Aon’s data, analytics and reporting capabilities.
• Develop elegant, and effective methodologies to solve complex business problems.
• Work with large datasets spanning health, wealth, and talent domains to identify key insights.
• Build pipelines for data cleaning, and data transformation while ensuring good code quality.
• Partner with business experts to enrich the data and find meaningful relationships/insights that can be applied to build actionable solutions.
• Build statistical and machine learning models to solve the business problem.
• Design, develop, test, improve, and document analytical solutions to drive innovation and efficiency.
• Implement automation, when possible, to streamline the process, and minimize manual intervention.
• Mentor junior colleagues and communicate with stakeholders.

Skills and experience that will lead to success

• Bachelor, Master, or Ph.D. in engineering, statistics, economics, or any other equivalent discipline with a strong statistical background.
• Experience working with defined contributions data, pension modeling and asset/interest rate analysis.
• Experience working with time series data sets and analysis.
• 5+ years of hands-on experience with data cleaning, analysis, modeling, and result interpretation.
• Experience working in product teams with focus on designing and developing analytical capabilities.
• Recent working knowledge of SQL, Python, and PySpark. Knowledge of Databricks is a plus.
• Ability to handle projects with ambiguity in requirements and handle multiple projects at a given time.
• Fluent presentation and communication skills and ability to convey technical analyses and information in a clear and concise manner to a wide variety of stakeholders.
• Understand the importance of performance and able to implement best practices in ensuring performance and maintainability for data-centric projects.
• Quick and eager student of new technologies as and when they are needed.

How we support our colleagues

In addition to our comprehensive benefits package, we encourage a diverse workforce. Plus, our agile, inclusive environment allows you to manage your wellbeing and work/life balance, ensuring you can be your best self at Aon. Furthermore, all colleagues enjoy two “Global Wellbeing Days” each year, encouraging you to take time to focus on yourself. We offer a variety of working style solutions, but we also recognise that flexibility goes beyond just the place of work... and we are all for it. We call this Smart Working!

Our continuous learning culture inspires and equips you to learn, share and grow, helping you achieve your fullest potential. As a result, at Aon, you are more connected, more relevant, and more valued.

Aon values an innovative, diverse workplace where all colleagues feel empowered to be their authentic selves. Aon is proud to be an equal opportunity workplace.

Aon provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, veteran, marital, domestic partner status, or other legally protected status.

We welcome applications from all and provide individuals with disabilities with reasonable adjustments to participate in the job application, interview process and to perform essential job functions once onboard. If you would like to learn more about the reasonable accommodations we provide, email [email protected]

Data Scientist

Aon is in the business of better decisions

At Aon, we shape decisions for the better to protect and enrich the lives of people around the world.

As an organization, we are united through trust as one inclusive, diverse team, and we are passionate about helping our colleagues and clients succeed.

About ACIA

Aon’s Centers for Innovation and Analytics are at the heart of delivering Aon’s Data & Analytic Services team’s mission to: Accelerate the rate of innovation through digital solutions to help better respond to clients’ evolving needs. Provide foundational data and analytics capabilities in one place for 50,000 Aon colleagues and our global clients who use our risk and people solutions.

Established in 2012, there are over 100 colleagues in Singapore’s Centre today including actuaries, software developers, data scientists, financial analysts and accountants. We are expanding rapidly and looking for dedicated individuals who can leverage emerging technologies and collaborate across Aon’s solution lines to help clients and colleagues make better, data-driven decisions today and tomorrow.

What the day will look like

• Brainstorm innovative ways to use our unique data to answer business problems.
• Provide technical leadership in a team that generates business insights, identify impactful recommendations, and communicate the findings to clients.
• Collaborate with a team of experienced actuaries, data engineers, developers, and business experts to deliver on Aon’s data, analytics and reporting capabilities.
• Develop elegant, and effective methodologies to solve complex business problems.
• Work with large datasets spanning health, wealth, and talent domains to identify key insights.
• Build pipelines for data cleaning, and data transformation while ensuring good code quality.
• Partner with business experts to enrich the data and find meaningful relationships/insights that can be applied to build actionable solutions.
• Build statistical and machine learning models to solve the business problem.
• Design, develop, test, improve, and document analytical solutions to drive innovation and efficiency.
• Implement automation, when possible, to streamline the process, and minimize manual intervention.
• Mentor junior colleagues and communicate with stakeholders.

Skills and experience that will lead to success

• Bachelor, Master, or Ph.D. in engineering, statistics, economics, or any other equivalent discipline with a strong statistical background.
• Strong econometrics skills.
• Experience in analyzing job posting, skills data, compensation data, etc.
• 5+ years of hands-on experience with data cleaning, analysis, modeling, and result interpretation.
• Experience working in product teams with focus on designing and developing analytical capabilities.
• Recent working knowledge of SQL, Python, and PySpark. Knowledge of Databricks is a plus.
• Ability to handle projects with ambiguity in requirements and handle multiple projects at a given time.
• Fluent presentation and communication skills and ability to convey technical analyses and information in a clear and concise manner to a wide variety of stakeholders.
• Understand the importance of performance and able to implement best practices in ensuring performance and maintainability for data-centric projects.
• Quick and eager student of new technologies as and when they are needed.

How we support our colleagues

In addition to our comprehensive benefits package, we encourage a diverse workforce. Plus, our agile, inclusive environment allows you to manage your wellbeing and work/life balance, ensuring you can be your best self at Aon. Furthermore, all colleagues enjoy two “Global Wellbeing Days” each year, encouraging you to take time to focus on yourself. We offer a variety of working style solutions, but we also recognise that flexibility goes beyond just the place of work... and we are all for it. We call this Smart Working!

Our continuous learning culture inspires and equips you to learn, share and grow, helping you achieve your fullest potential. As a result, at Aon, you are more connected, more relevant, and more valued.

Aon values an innovative, diverse workplace where all colleagues feel empowered to be their authentic selves. Aon is proud to be an equal opportunity workplace.

Aon provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, veteran, marital, domestic partner status, or other legally protected status.

We welcome applications from all and provide individuals with disabilities with reasonable adjustments to participate in the job application, interview process and to perform essential job functions once onboard. If you would like to learn more about the reasonable accommodations we provide, email [email protected]

Data Analysts collect data, such as sales numbers or market research, to help companies make the right decisions. Key role of this position is to generate actionable insights, trends, problem statements, and business value. This person may be required to work with key partners in business and technology teams to create meaningful visualizations and stories to describe data in forms usable by the business.

Responsibilities

• Collaborate with cross functional team members and stakeholders to identify, collect and analyze data; to solve data related business challenges
• Analyze datasets to identify trends and uncover insights for potential business improvement and business opportunities
• Set up and maintain tracker on key leading business indicators
• Use graphs, infographics and other methods to help visualize data and present recommendations and findings to stakeholders
• Create useful reports and dashboards to help team members and stakeholders track performance and achieve business goals
• Establish KPIs to measure the effectiveness of data driven business decisions
• Ensure data is clean and Verified for accuracy and consistency
• Supporting the data warehouse in identifying and revising reporting requirements
• Providing expertise in data storage structures, data mining, and data cleansing
• Create and apply statistical model if necessary to create and evolve insight

Qualifications:

• Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Business or any other related discipline or commensurate work experience or demonstrated competence. Proven experience in data analysis, preferably in a similar role.
• Typically has 2-3 years of work experience, preferably in data analytics, database management, statistical analysis, or a related field or an advanced degree with little or no work experience.
• Strong analytical, curious, business-oriented and written/oral communication skills
• Strong data visualization skills using tools such as Tableau, Power BI, or others.
• Excellent problem-solving and critical-thinking abilities.
• Effective communication skills with ability to story tell through data
• Keen learner, open to feedback and self-improvement
• (Preferred) Familiarity with data governance principles and data privacy regulations
• (Preferred) Programming knowledge such as Python and R
• (Preferred) Knowledge in Data Warehousing, ETL/ ELT processes

• 1-month role

• Well Established Company

• Working hour: 8.15am – 5.45pm (Monday - Friday)

• Company located at Tuas

• Company transport provided: Boon Lay, Bukit Batok, Choa Chu Kang

Job Scope

• Accurately enter data into company systems and databases
• Review and verify data for errors or inconsistencies
• Organize and maintain electronic files and records
• Assist with data cleansing and other data-related tasks as needed
• Collaborate with team members to ensure timely project completion
• Perform other administrative duties as assigned

Requirement

• GCE O Level & above
• 1 - 2 years of relevant working experience in similar position

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume:

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

SIM BEI NA (R22111637)

EA Recruitment Pte Ltd

EA License No: 21C0492

Job Description:

• Entering data for financial records.
• Process invoices, monitoring & follow up outstanding AR payment
• Prepare monthly bank reconciliation
• Assist in preparing financial statements
• Any other ad-hoc duties as assigned by the manager

Requirement:

• Min. O Level and above
• Minimum 1 year working relevant experience.

*Please be notified that only shortlisted candidates will be notified*

By submtting your personal data and/or resume, you give consent to the collection, use, and disclosure of your personal data and/or resume by the company (or its agent) for the purpose of the processing and administration by the company relating to this job application.

EA Personnel Name: Chan Jun Wei

EA Personnel No: R1543992

EA License No: 21C0845

Job Descriptions:

1. Develop and provide cloud computing services (platform-as-a-service or infrastructure-as-a-service) suggestions/proposals for SME, Enterprise and various industry verticals.
2. Design data solutions aligned to the design principles and security standards of the Google Cloud Platform.
3. Design and implement solutions around data warehouse implementation ranging from architecture, ETL processes, multidimensional modelling, data marts implementation.
4. 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.
5. Evaluate the requirements and determine actionable tasks, estimates and provide efforts for business solution build and architecture.
6. Responsible for technical documentation on solution implementation.
7. Perform operational readiness tasks and ensure production acceptance criteria are met.
8. Respond to platform technical issues in a professional and timely manner.
9. Work closely with the sales team for cloud-related sales opportunities.
10. Support Pre-Sales activities, i.e. proposal, systems design, proof-of-concept, demo, workshop conduct, etc.

Requirements:

1. Bachelor’s degree in Computer Science, related technical field, or equivalent practical experience.
2. 3 – 5 years of experience in Business Analytics, Data Engineering or Data Science.
3. Strong logical/analytical troubleshooting.
4. Experience in deploying and operating multi/hybrid-cloud platforms, such as Kubernetes, Anthos etc is a plus.

Job Description & Requirements

Position Summary/Overview:

• The Data Center Operation technician has overall responsibility to support the troubleshooting and coordinating activities pertaining to the day-to-day support of the data centers and critical facilities. responsible for troubleshooting, managing the vendors/contractors and report to the Data Center Operation Site Lead.

Responsibilities:

• Lead a team of contractors or vendors and support in the daily data centre operations
• Perform data centre operations and inspections including monitoring and management for infrastructure systems, DC environment and facilities
• Monitor critical facilities and infrastructure system alerts and perform necessary escalation
• Perform incident management and escalation pertaining to any facilities and system downtime
• Manage and administer the service desk operations
• Ensure the implementation of safe systems on site activities.
• Liaison with BUs in regard to utilities, building services / facilities and systems issues
• Assist in the planning and execution of disaster recovery activities
• Administer and ensure building records, licenses, permit and etc are properly documented.
• Ensure procedures, processes and service level are being followed for any service delivery and operations
• Periodic review of the data centre operations and report any gaps and issues
• Prepare and update of Data Centre and Service Desk monthly report
• Maintain the site asset database, provide updates in accordance with CMMS requirements.

Education & Experience:

• Possess a Diploma in Computer Science or equivalent
• Possess Data Centre Certifications such as Certified Data Centre Professional
• Possess at least 3 years’ experience in Data Centre Operations, Facilities Monitoring & Management
• Familiar with Data Centre facilities including Computer Room Air-Con (CRAC), fire suppression system, water detection system, Uninterrupted Power Supply (UPS) and etc
• Familiar with Service Desk operations and incident management process
• Basic understanding on the operation of MEP systems
• Resourceful, analytical and problem solving skill
• Good communications and interpersonal skills

Key Responsibilities

• Create complex, enterprise-transforming applications in high-energy, collaborative teams.
• Work with the latest tools and techniques in a hands-on coding environment, often utilizing pair programming.
• Build high-quality, maintainable code in a collaborative team environment.
• Demonstrate a solid understanding of model implementation, data structures, data manipulation, distributed processing, application development, and automation.
• Possess knowledge of consumer financial products, data systems, environments, and processes critical for the implementation of Risk and Finance models.

Essential Skills & Prerequisites

• Bachelor’s/Master’s degree in Computer Science, Engineering, Sciences, Mathematics, or a numerate subject, with 6 years of relevant experience.
• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in:
• Designing and developing applications using Python.
• Working on the Hadoop platform (Hive, HDFS, and Spark).
• 3–5 years of experience in Unix shell scripting and SQL.
• 2–3 years of experience in Spark programming.
• Knowledge of microservices architecture and cloud computing is an advantage.
• Familiarity with Java and Scala is beneficial.

Desired Skills

• Additional experience in developing service-based applications.
• Excellent analytical skills, including proficiency in MS Office and the ability to produce board-level documentation.
• Self-starter with the ability to meet challenging personal targets and maintain a big-picture outlook with attention to detail.
• Understanding of current technologies used by Tier 1 Investment Banking Institutions.
• Team-oriented mindset.
• Advantageous experience includes -Working in the financial or banking industry & Knowledge of Avaloq, Windows Batch Scripting, T-SQL, and Python.

Mandatory Skills Summary

• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in - Python development & Hadoop platform (Hive, HDFS, Spark).
• 3–5 years of experience in- Unix shell scripting & SQL development.
• 2–3 years of experience in Spark programming.

Key Responsibilities

• Create complex, enterprise-transforming applications in high-energy, collaborative teams.
• Work with the latest tools and techniques in a hands-on coding environment,often utilizing pair programming.
• Build high-quality, maintainable code in a collaborative team environment.
• Demonstrate a solid understanding of model implementation, data structures, data manipulation, distributed processing, application development, and automation.
• Possess knowledge of consumer financial products, data systems, environments, and processes critical for the implementation of Risk and Finance models.

Essential Skills & Prerequisites

• Bachelor’s/Master’s degree in Computer Science, Engineering, Sciences, Mathematics, or a numerate subject, with 6 years of relevant experience.
• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in:
• Designing and developing applications using Python.
• Working on the Hadoop platform (Hive, HDFS, and Spark).
• 3–5 years of experience in Unix shell scripting and SQL.
• 2–3 years of experience in Spark programming.
• Knowledge of microservices architecture and cloud computing is an advantage.
• Familiarity with Java and Scala is beneficial.

Desired Skills

• Additional experience in developing service-based applications.
• Excellent analytical skills, including proficiency in MS Office and the ability to produce board-level documentation.
• Self-starter with the ability to meet challenging personal targets and maintain a big-picture outlook with attention to detail.
• Understanding of current technologies used by Tier 1 Investment Banking Institutions.
• Team-oriented mindset.
• Advantageous experience includes:
  • Working in the financial or banking industry.
  • Knowledge of Avaloq, Windows Batch Scripting, T-SQL, and Python.

Mandatory Skills Summary

• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in -Python development & Hadoop platform (Hive, HDFS, Spark).
• 3–5 years of experience in - Unix shell scripting & SQL development.
• 2–3 years of experience in Spark programming.

• Min 8 years of experience.
• At least 8 years of data-related working experience, with at least 5 years of hands-on experience in data management and data analytics in the finance, investment, banking, and asset management industries.
• Good understanding of the principles, key controls and processes relating to data management.
• Good at working with details and is meticulous in operations and tasks.
• Good understanding of data modelling.
• Good understanding on OLTP, Data Lake, Lakehouse technologies that may include knowledge of Snowflake, S3, AWS Glue, DeltaLake, DataBricks.
• Good understanding of CI/CD pipelines, DevOps, DataOps, and their applicability in financial services.
• Experience in working with databases using database technologies (e.g. MS SQL, Snowflake, Redshift and PostgreSQL) and data integration products (e.g. Informatica, Data Factory, Bash).
• Extensive data-related experience in programming languages eg Python, SQL, Scala, Javascript, and similar.
• Experience in working with business intelligence and data visualization tools e.g. Tableau, PowerBI.
• Experience with SDLC methodology and/or agile methodologies like Scrum and Kanban and its related applications eg Confluence and JIRA.
• Good team player, with strong analytical skills and enjoys complex problem solving.
• Experience in data engineering platforms and virtualization eg Denodo, Jupyter, O365.
• Excellent written and spoken English and strong presentation skillsets.
• Strong inter-personal and people leadership skills to interact with diverse stakeholders.

Responsibilities:

• Working closely with data analysts and business end-users to implement and support data platforms using best-of-breed technology and methodology.
• Implement and design robust and scalable solutions to meet business needs and take operational considerations into account. Demonstrate technical expertise in the assigned areas.
• Manage operations and maintain SLAs. Implement automation in data management. Collaborate with data engineering, architecture, and governance.
• Perform data and metadata quality, modeling, lineage, cleansing, onboarding, registration, discoverability, access controls, migration, optimization, and cataloging. Execute, maintain and manage the whole data lifecycle.
• Conduct requirement workshops with stakeholders, analyze and translate business and other requirements holistically into data strategies, plans, and actions.
• Cover all aspects of data distribution and data service.
• Design and implement scalable data pipelines and data service modules with robustness in mind to support the growing demands from business users.
• Analyze and resolve day-to-day operational incidents and advisory to business users.
• Listen to upstream changes, perform impact analysis and mitigate-modify-implement.
• Do impact analysis, inform and distribute to downstream users and applications.
• Analyze systems operations data (SLAs, customer satisfaction, delivery quality, team efficiency etc.) to identify actionable trends for continual improvements.
• Data, application, and system checking and testing (eg UAT), CICD and go-live.

JOB SUMMARY

• In Standard Chartered Bank’s Corporate & Investment Bank (CIB), we aim to be digital-first and data-driven, delivering enhanced client experiences, driving new wallet share and realizing untapped client value and market opportunities.
• Part of Transaction Banking (TB) Digital Channel Solutions, we are building a complete end-to-end, digital-first client journey from onboarding, transacting to servicing and reporting. We are passionate about developing and delivering Best in Class digital client experience through consistent, well designed, contextual user journeys across all our client touchpoints such as the web and mobile.
• The role Director, TB Data Analytics is part of Digital Channel Solutions team based in Singapore. Our Straight2Bank digital platform serves our global clients across our 45+ footprint markets. You will be responsible for data solutions to enable our Transaction Banking business, operations and technology teams, execute on it through disciplined product development, laser-focussed on delivery and time-to-market. You will collaborate with a cross-functional team of product managers, designers, engineers, and other stakeholders to deliver data analytics solutions to external clients via Straight2Bank, as well as to internal Transaction Banking business teams.
• This role reports to the Global Head, CCIB Digital Platforms and Products. We are building big data solutions for datasets in channels, payments, collections and clearing business where we have millions of transactions daily.
• The role requires close partnership with Product and Sales teams, Operations and Technology, and risk owners such as legal and compliance globally.
• To be successful, you will internalise complex information about products and services to make them understandable to real humans and manage delivery of these features under the agile framework.
• The role would be suited to a candidate having experience in data analytics, data engineering, and focussed on delivery of solutions that help business take decisions fast.
• Proven track record in building and deploying analytics solutions in Banking or Financial Services that have created significant value for customers and additional revenue based on new business models.
• Numerate and strong in data analytics and modelling using statistical methods and algorithms, including regression, classification, and clustering.
• Since this role is fully focused on solving problems for customers and business alike, it requires empathy and business understanding in equal parts.

RESPONSIBILITIES

Strategy

• Partner with the Analytics Consumers (i.e., Product, Sales Ops, CSG) and Data Product Leaders and Executive Leadership to ensure solutions alignment business and Go-To-Market (GTM) priorities.
• Influence a data-driven goal and direction for technology, solutions and use case priortisation.
• Understand the use cases (roles, personas, pain points) to drive data strategy and product vision in alignment with Business Stakeholder needs and Bank’s overall data strategy.
• Create a single, prioritized backlog to ensure data engineering / tech resources are deployed to solve right problems and enable trade off discussions.
• Collaborate with Product Leadership and technology teams to gather and synthesize user feedback, driving product improvements and removing barriers to business generation.

Business

• Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
• Engage with stakeholders to gather business needs, translate them into technical solutions, and lead the prioritization of deliveries in alignment with business goals.
• Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products.
• Collaborate with Data Engineers to ensure the data architecture supports business needs and work with Data Analysts to deliver actionable insights that can be effectively utilized by stakeholders.
• Build and automate intuitive dashboards that help visualize and answer complex business problems.
• Work with Data Scientists to develop and implement AI/ML algorithms, statistical use cases and rapid prototypes from big data sets to drive revenue generation activities for sales, products and supporting CSG and Ops teams.

Processes

• Establish a minimum SLA with tech on data quality and monitor effectiveness metrics
• Lead engagement with PMO teams and respective forums for your workstream
• Lead resources and financial management of your respective workstream

People & Talent

• Work with Engineering and Analytics teams to develop and motivate a team of engineers based in Bangalore and Chennai in the areas of focus and assist in the delivery of use cases.
• Empower, manage, coach and guide teams to deliver on timely outcomes and ensuring quality of code and rigour in analytics output.
• Encourage the team to strengthening skills through relevant training, learning and development activities.

Risk Management

• Ensure alignment of risk management aspect for all deliveries and conducting themselves in line with the Bank’s standards, policies, and procedures

Governance

• Ensure alignment of compliance and governance aspect for all deliveries and conducting themselves in line with the Bank’s standards, policies, and procedures

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.
• Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.

Key Stakeholders

• Cash, Trade Product and Sales Team
• Chief Product Owner, S2B Trade
• Chief Product Owner, S2B Cash
• Technology, COO and Other Support Functions
• Specialist Data Scientist and Analytics Teams

Our Ideal Candidate

• University Degree or equivalent, preferably in computer science, engineering or analytical discipline, e.g. mathematics, statistics, IT, economics, finance, accounting.
• 8 plus years’ experience doing quantitative analysis.
• Fluency in SQL and Python.
• 4 plus years’ experience leading product analytics and influencing product roadmap
• Experience understanding ecosystems, user behaviours and long-term product trends.
• Proven experience leading data-driven projects from definition to execution: defining metrics, experiment design, communicating actionable insights.
• Analytical mind with ability to translate business problems and requirements into analytics solutions.
• Knowledge of banking products and the overall industry a strong plus
• Good verbal and written communication skills.
• Self-motivated with ethos of excellence.
• Ability to work independently but also in teams.
• Proficiency across the core analytics toolsets (SQL and or Alteryx, Dataiku) for ETL and working in Big data environment of Hadoop.
• Very strong experience in Python to build Statistical and ML models and knowledge of writing python functions to automate work.
• Knowledge of data visualization tools (Tableau) is preferable but not a must.

Role Specific Technical Competencies

• Data Analysis
• Microsoft Excel and Powerpoint
• ADO
• Programming Language - Python
• SQL
• Java Script
• Agile Product Owner

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

Our client, a global leader in real estate and workplace management, is seeking a skilled professional to manage critical facilities operations (Data Centers). This role involves leading preventative and reactive maintenance programs, ensuring statutory and contractual compliance, and overseeing the operation of plant, mechanical, and electrical systems. You will address critical failures, coordinate with the Engineering Team, and manage a multidisciplinary team of staff and vendors to uphold operational excellence.

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:
- Manage site operations, including hiring, training, and developing site technicians and maintenance teams.
- Ensure compliance with KPIs, uptime requirements, and financial targets using the CMMS platform.
- Conduct site reviews covering maintenance, equipment, security, Tier adherence, and operational risks.
- Oversee subcontractor activities to ensure quality, timely completion, and regulatory compliance.
- Monitor contractor performance and address any gaps against contractual standards.
- Lead meetings with contractors and vendors to maintain performance and implement improvements.
- Support statutory compliance, asset updates in CMMS, and effective documentation for asset management.
- Provide engineering advice and ensure incident management aligns with approved procedures.
- Participate in client meetings and support continuous improvement initiatives.

Key Requirements:
- Tertiary qualifications in mechanical, electrical, or operational engineering.
- Minimum 3 years of experience in Tier III or equivalent data centre or critical facility operations.
- Strong problem-solving, communication, and interpersonal skills.
- Relevant data centre certifications and experience with continuous improvement practices.


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

Mission: Join our crew of innovators and game-changers to spread the love for our products and make them shine like diamonds!

Job Description:

We're on the hunt for a charismatic and creative Product Marketing Associate to join our crew! As a key player in our marketing team, you'll be responsible for crafting and executing marketing strategies that drive engagement, generate buzz, and make our clients' products/services irrestible to customers.

Responsibilities:

- Develop and execute product marketing plans that drive awareness, adoption, and revenue growth

- Collaborate with cross-functional teams to launch new products and features

- Create compelling pitching and presenting that showcases our products' awesomeness

- Analyse market trends, customers' feedback, and sales data to inform marketing strategies

- Work closely with sales teams to provide marketing support and enablement

Requirements:

- 1 year minimum of experience in product marketing or a related field

- Minimum diploma in Marketing Communications, or a related field

- Proven track record of launching successful marketing campaigns and driving results

- Excellent communication, project management, and problem-solving skills

- Ability to work in a fast-paced environment and adapt to changing priorities

- Passion for innovative products and marketing strategies

Nice to have:

- Experience with marketing skillsets and analytics platform

- Knowledge of design principles and content creation tools

- Familiarity with agile marketing methodologies

- Certification in marketing or a related field

What we offer:

- Competitive remuneration and bonuses packages

- Opportunity to work with a innovative and fast-growing company

- Collaborative and dynamic work environment

- Professional development growth opportunities

- Access to the latest marketing tools and technologies

- And, of course, a chance to be part of an amazing team!

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

LOOKING FOR LIKE-MINDED INDIVIDUALS READY TO BUILD THEIR CAREER WITH US!