Information:

1. Basic Salary: $2,600 - $3,500 depend on experience ;
2. Polytechnic graduate：$2,600 ; ITE guaduate: $2,400 - $2,500
3. Attendance: $40
4. Morning Shift: 7am - 3pm; Afternoon Shift: 3pm - 11pm ($8.50/day); Night Shift: 11pm - 7am ($14/day)
5. Company transport at various location in the west

Responsibilities:

• Operate and monitor machinery on the assembly line to ensure smooth operation
• Conduct routine maintenance tasks, identify and address any issues with machine operation
• Troubleshoot & repair production machines for mechanism and electrical issues to minimise downtime
• Inspections to identify potential malfunctions and perform preventive maintenance
• Work cross-functionally to identify areas for improvement in quality, productivity and cost reduction
• Develop/modifications to equipment and processes to enhance efficiency and performance
• Plan and execute improvement projects from conception to completion
• Evaluate existing processes and practices to identify opportunities for optimisation
• Propose solutions to improve operational efficiency and product quality
• Develop and update programming for automated production equipment to optimise performance
• Provide training to operators on the operation and maintenance of automated equipment as necessary
• Conduct washing to remove contaminants from ball bearings, ensure adherence to quality standards
• Perform test to assess quality and integrity of ball bearings, documenting results accurately
• Visual inspections to identify defects or abnormalities in the manufacturing process
• Compile audit work papers and documentation to ensure completeness and accuracy
• Assist in the development of audit protocols and procedures
• Perform other administrative duties as assigned
• Adhere to all safety protocols and regulations to ensure a safe working environment
• Maintain cleanliness and organisation in work areas to promote efficiency and safety
• Review/recommend changes on procedures for work environment and safety aspects (E.g. IATF 16949, ISO14001, Safety Management Systems, etc.)
• Attend meetings, reviews, discussion and coordinate with Superior to achieve target and yield rate.

Requirements:

• ITE Nitec/Higher Nitec/Polytechnic diploma in Mechanical/Electrical/Mechatronic engineering
• Entry level are welcome to apply
• Comfortable wearing jumpsuit and cleanroom environment
• Able to commit monthly rotation shift work

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

Michelle Koh

EA License No.: 23C1894

EA Personnel No.: R1656105

We are looking for a Temp HR Admin Assistant to be outsourced to our healthcare clients.

Job Description:

• Handle recruitment process
• Conduct phone screening or interview
• Coordinate interview with hiring managers
• Ensure that documents received are accounted for
• Liaise with external parties
• Assist with ad-hoc administrative duties

Job Requirements:

• Min A Level/ Diploma/ Degree in any related course of studies
• Candidates without experience are welcome to apply as training will be provided

All qualified applicants, please send in your resume to:

[email protected]

Tricia Celestine Goh (R1981653)

Recruit Express Pte Ltd | Company Reg. No. 199601303W | EA License Number: 99C4599

Key Responsibilities:

Data Engineering:

• Design, develop, and manage scalable data pipelines using Airflow for scheduling and orchestration, ensuring the smooth flow of real-time and batch data.
• Build and maintain systems leveraging Kafka for real-time data streaming and S3, RDS & Redis for data storage, all within the AWS ecosystem.
• Implement solutions for macro trend analysis and cross-asset correlations, optimizing data processing for institutional clients.
• Ensure data governance best practices, including data quality, security, and accessibility using AWS services (e.g., S3, Redshift, Athena, Redis), Airflow, and Kafka.
• Ensure data infrastructure complies with SEC regulations and industry-specific standards.

Governance, Risk, and Compliance (GRC):

• Establish and enforce a comprehensive GRC framework aligned with SEC regulations and other relevant U.S. financial regulations, leveraging AWS services.
• Oversee compliance with regulatory bodies such as the SEC and FINRA, ensuring TradeAlgo’s systems meet evolving regulations.
• Use Airflow and AWS tools to automate compliance reporting and monitoring, ensuring data integrity and security within the AWS environment.
• Collaborate with legal and risk management teams to ensure compliance with regulatory requirements while managing risk across the AWS ecosystem.

Collaboration & Leadership:

• Work closely with product, engineering, and compliance teams to design and implement AWS-based data solutions, leveraging Airflow for orchestration, Kafkafor real-time data, and S3, RDS & Redis for secure data storage.
• Provide leadership in optimizing scalable AI-driven solutions on AWS for institutional clients, ensuring alignment with regulatory frameworks.
• Collaborate across teams to align AWS data infrastructure with business and compliance goals.

Strategic Input:

• Provide input on AWS infrastructure investments to support scalable data processing using Airflow, Kafka, and RDS, while ensuring compliance with U.S. regulatory frameworks.
• Stay updated with trends in AWS services, data engineering, and GRC, particularly within financial services, and lead initiatives to integrate new SEC regulations into our AWS-based systems.

Qualifications:

• 7+ years of experience in data engineering, with strong exposure to GRC in financial services (preferred).
• Expertise in AWS services (S3, Redshift, Athena, Lambda), as well as experience with Airflowfor orchestration, Kafka for real-time streaming, and RDS for relational data storage.
• Strong understanding of U.S. financial regulations, including SEC, FINRA, and other compliance frameworks.
• Proven ability to implement data governance, security, and compliance on cloud infrastructure (preferably AWS).
• Familiarity with AI-driven solutions and handling risk management for institutional clients is a plus.
• Advanced degree in computer science, data engineering, or related fields is preferred.

Job Summary

We are looking for a Data Analyst to support the design, development and implementation of various dashboard requirements in a renowned Bank.

Mandatory Skill-set

• Degree holder with a minimum 3 years of experience in delivering end-to-end data and/or digital transformation solutions;
• Experience with QlikView and Qlik Sense, including dashboard development, data modelling, and reporting;
• Translating business requirements to technical terms like Data Mapping;
• Proficiency in Business Intelligence (BI) tools, visualization tools, and scripting;
• Knowledge of SQL for data manipulation;
• Good experience working with business users;
• Excellent problem-solving, strategic thinking, written, presentation, and communication skills;
• A good team player, with the ability to function independently.

Desired Skill-set

• Work experience in banking industry.

Responsibilities

• Collaborate with a team of data analysts and business users throughout each project stage to ensure timely and high-quality delivery of dashboard solutions;
• Involve in requirements gathering and analyze requirements from business stakeholders;
• Clean, transform, and analyze data to ensure its suitability for dashboard development;
• Perform data discovery and analysis from the bank’s data platform to assess the feasibility of requirements;
• Develop visually appealing and intuitive dashboards in QlikView/Qlik Sense to effectively communicate key insights and metrics;
• Apply best practices in user interface (UI) and user experience (UX) design.
• Conduct testing and troubleshooting to ensure dashboard functionality and performance across different devices and platforms;
• Conduct training sessions and roadshows to promote awareness and usage among target users.

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

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

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

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development’s biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.

Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product’s ecosystem.

Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.

Communication and influence: You won’t simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.

Responsibilities

• Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
• Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses.
• Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
• Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
• Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.

Minimum Qualifications

• Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.
• A minimum of 2 years of work experience in quantitative analysis (minimum of 1 years with a Ph.D.).
• Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R).
• A minimum of 2 years experience leading product analytics and influencing product roadmap
• A minimum of 2 years experience designing and running A/B tests
• Experience understanding ecosystems, user behaviors and long-term product trends
• Core statistical knowledge
• Proven experience leading data-driven projects from definition to execution: defining metrics, experiment design, communicating actionable insights.

Preferred Qualifications

• Masters or Ph.D. Degree in a quantitative field.

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

About Us

Since pioneering Asia Pacific’s first international-class serviced residence with the opening of The Ascott

Singapore in 1984, Ascott has grown to be a trusted hospitality company with over 950 properties globally.

Headquartered in Singapore, Ascott’s presence extends across more than 230 cities in over 40 countries in Asia Pacific, Central Asia, Europe, the Middle East, Africa, and the USA.

Its diversified accommodation offerings span serviced residences, coliving properties, hotels and independent senior living apartments. Ascott's award-winning hospitality brands include Ascott, Citadines, lyf, Oakwood, Somerset, The Crest Collection, The Unlimited Collection, Fox, Harris, POP!, Preference, Quest, Vertu and Yello. Through Ascott Star Rewards (ASR), Ascott’s loyalty programme, members enjoy exclusive privileges and offers at participating properties.

A wholly owned business unit of CapitaLand Investment Limited, Ascott is a leading vertically-integrated

lodging operator. Harnessing its extensive network of third-party owners and in-market expertise, Ascott

grows fee-related earnings through its hospitality management and investment management capabilities.

The Opportunity

This headcount will play the part of a Data Engineer to build and design our Enterprise Data Platform for optimal data retrieval to facilitate the development of dashboards and other visualizations for our Senior Management and business stakeholders.

Responsibilities:

• To design, build and test deployment & operation phases of Lodging’s Enterprise Data Platform for current and future projects.
• Review, construct or re-structure, test and maintain data architecture
• Review and establish best practices for data management, reporting and security
• Improve data foundational procedures, guidelines and standards
• Evaluate datasets and identify ways to improve data reliability, efficiency and quality
• Comprehend, design, acquire and manage organizational datasets that support analytics to achieve business goals
• Optimize data retrieval to facilitate development of dashboards and other visualizations for stakeholders
• Coordinate with internal infrastructure teams to complete planned tasks and problem-solving where necessary
• Support data management projects when needed and perform additional data related tasks

Requirements:

• Degree in Computer Engineering or other relevant technical disciplines
• At least 3 years of data engineering or data application software engineering experience
• Experience in object-oriented design, coding and test patterns as well as experience in engineering software platforms and large-scale data infrastructure
• Hands-on working experience with big data systems (Hadoop, HDFS, Hive, Spark)
• Extensive knowledge in SQL, Scala and Python programming languages
• Experienced in Microsoft stack of analytics products (SQL Server, Azure Data Factory, Azure Databricks, Azure Data Warehouse, Integration Services, Data Quality, Master Data Services, Power BI, Fabric)

Rate: $10/h

Working Hours: Mon - Fri, Office Hours

Commitment: 3 months

Responsibilities

• Assist in the preparation of regularly scheduled reports
• Develop and maintain a filing system
• Update and maintain office policies and procedures

Requirement:

• Min Diploma/NITEC in Business or equivalent
• Can Commit 3 Months

TELE me at @yijingggggg or WA me at https://wa.me/+6598623556 NOW!
Interested candidates, please submit your resume to [email protected]

Alison Chen
Outsourcing Team
Recruit Express Pte Ltd (EA Licence No.: 99C4599)

Nomura Overview

Nomura is a global financial services group with an integrated network spanning approximately 30 countries and regions. By connecting markets East & West, Nomura services the needs of individuals, institutions, corporates and governments through its three business divisions: Retail, Investment Management, and Wholesale (Global Markets and Investment Banking). Founded in 1925, the firm is built on a tradition of disciplined entrepreneurship, serving clients with creative solutions and considered thought leadership. For further information about Nomura, visit www.nomura.com.

Department Overview

Chief Data Office is the Group Central Data and Analytics arm that works closely with the Group Businesses and Group Corporate functions to enable the execution of Nomura Group Strategy through Robust Data Standards & Governance, Actionable Performance Metrics & MIS, and High Impact Information and Analytics Products and Solution.

Job Purpose

Responsible for developing and implementing data governance strategies, policies, and procedures to ensure data quality, integrity, and compliance across the Asia ex-Japan (AEJ) market.

Role Description
Job Responsibilities

• Collaborate with business stakeholders to understand data and AI requirements and develop governance frameworks aligned with organizational goals.
• Define and implement data and AI standards, data quality rules, and metadata management processes to ensure data consistency and accuracy.
• Establish data stewardship roles and responsibilities, and provide training and guidance to data stewards.
• Monitor and enforce data and AI governance policies and procedures, ensuring compliance with relevant laws, regulations, and industry standards.
• Conduct data quality assessments, identify data issues, and implement remediation plans to improve data quality.
• Develop and maintain data governance documentation, including data dictionaries, data lineage, and data quality metrics.
• Define and agree plans to deliver target operating model strategy. Align operating model with data and AI governance requirements.
• Collaborate with IT teams to ensure data and AI governance processes are integrated into data management systems and tools.
• Stay up-to-date with emerging data and AI governance trends, best practices, and technologies, and recommend improvements to existing processes.
• Deep understanding of data and AI governance frameworks, data standards, metadata management, data quality, and data stewardship.
• Deep understanding of relevant laws and regulations in relation to data and AI.
• Maintain data governance metrics and reporting to track progress and ensure compliance with policies and standards.
• Collaborate with business stakeholders to identify and prioritize data and AI initiatives.
• Support data and AI audits and assessments to remediate areas of non-compliance and assist in improvements.
• Deep understanding of AI ethics and guidelines, standards (including AI lifecycle, risk and compliance lifecycle, bias detection) and AI data governance tools to ensure responsible use of AI.

Skills, experience, qualifications and knowledge required:

• Bachelor's degree in Business Management, Financial Engineering, or STEM degrees.
• At least 5 years of experience in data governance, data management, data strategy, risk management, technology risk consulting or a related field.
• At least 3 years of experience in financial services institutions (directly or via consulting).
• Strong understanding of data and AI governance frameworks, data standards, metadata management, data quality, and data stewardship.
• Knowledge of laws, rules and regulations related to data and AI.
• Understanding of AI ethics, guidelines, and standards, including AI lifecycle, risk and compliance lifecycle, bias detection, and AI data governance tools.
• Understanding the critical role of data within the AI development life cycle and interdependencies.
• Proficiency in data processing techniques, data cleansing, database management, data analysis, and data quality processes.
• Excellent communication and interpersonal skills to collaborate effectively with cross-functional teams and stakeholders.
• Strong analytical and problem-solving skills to identify and resolve data-related issues.
• High level attention to detail and good presentation, time management, and influencing skills.
• Ability to work in a fast-paced, dynamic environment and manage multiple priorities effectively.

Diversity Statement

Nomura is committed to an employment policy of equal opportunities, and is fundamentally opposed to any less favourable treatment accorded to existing or potential members of staff on the grounds of race, creed, colour, nationality, disability, marital status, pregnancy, gender or sexual orientation.

DISCLAIMER: This Job Description is for reference only, and whilst this is intended to be an accurate reflection of the current job, it is not necessarily an exhaustive list of all responsibilities, duties, skills, efforts, requirements or working conditions associated with the job. The management reserves the right to revise the job and may, at his or her discretion, assign or reassign duties and responsibilities to this job at any time.

SFID: 7968

About the Company:

For more than 100 years, out client has earned a global reputation as a pure power expert. The company's Power Systems are equipped with its innovation, including generators, transfer switches, switchgear, and controllers. Powering everything from gas stations to hotels and hospitals, as well as military operations and airports.

Basic Function:

As the Sales Engineer leads and develops Generator Sets sales strategies to generate new business opportunities to Data Center customers. This role involves locating, developing, defining, negotiating, and closing business relationships with key accounts, end customers, consultants, and system integrators. The ultimate goal is to achieve profitable growth by converting Data Center project pipelines into actual orders.

Key Responsibilities:

• Generate new business by contacting potential customers and analyzing market strategies.
• Collaborate with local, regional, and global teams to close new business deals.
• Maintain key relationships with end customers, influencers, and contractors.
• Build and advance sales opportunity pipelines to closure.
• Set budget forecasts and sales targets for the SEA Data Center market.
• Provide project guidance and pricing strategy to distribution networks.
• Identify strategic alliances to expand solutions and market reach.
• Provide marketing and technical support to distribution partners.
• Analyze sales and market data for senior management.
• Promote company's Power Systems at trade events and collaborate on marketing collateral.
• Be the expert in Data Center power products and solutions.

Qualifications:

• Degree in Electrical or Mechanical Engineering with at least 3-5 years in power generation sales.
• Proven direct and channel sales track record, Data Centre experience preferred.
• Results-driven with strong competitive spirit.
• Team player with excellent interpersonal skills.

How to Apply:

Interested candidates, please submit your updated resume by using Apply button

*We regret to inform that only shortlisted candidates will be informed.*

Sarah Sevilla

Registration Number: R22107553

EA License No: 18C9027

Job Description

1. Objective
To provide support to the Accounts Team to ensure that the daily job

responsibilities are completed on time. (Request for urgent invoices

or payments are prepared without delay especially during monthly

closing period)

2. Customer Invoice preparation
a) Prepare sales invoices and draft email to customers for review.
b) Communicate with the ISR Team regarding inquiries related to

customer invoicing.
c) Send invoices to customers after review by Senior Accounts

Executive.

3. Vendor invoice preparation
a) Print out invoices from vendors in email for verfication.
b) perform 3-way match by matching invoices with purchase orders

and receiving documents.
c) Communicate with the Procurement Team regarding inquires

related to purchase orders.
d) Key-in of vendor invoices into the Business Central system.
e) Filling Documents
f) Ensure the accuracy of invoices and resolve discrepancies with

vendors ( if needed)

4. Vendor Payment Processing (if Needed)
a) Prepare and process payments to vendors through cheques,

electronic transfers, or other means.
b) Maintain payment schedules and ensure timely payments to

avoid late fees.

5. Perform any other duties as assigned.

Requirement

1. Minimum of 2 years of relevant experience

2. Proficiency in Microsoft Excel is required; experience with Business

Central is a plus.

3. Good communications skills.

4. Ability to work independently and resourcefully in a fast-paced

environment.

5. Willingness to commit to overtime work when required.

6. 3 days per week (9.00am to 5.30 pm)

. Confirm Order

. Purchase Order

· Delivery Order

· Invoicing

· Verifying and Segregating Invoice and Packing List

· Inventory Control

· Update Data and Maintaining Accurate and Up-to-date information

. Liaise with customers for delivery schedule

Our client is a global insurance firm.

Key Responsibilities:

• Process all incoming requests within the service standard and ensure all processes are done prudently and in accordance to all regulatory and corporate requirements.
• Perform data entry on policy request - customer data management, change of address, updating of undelivered addresses and change of customer particulars/contact details.
• Attend and handle enquiries of the sections made through referrals promptly.

Requirements:

• Diploma or Degree in Business Administration, Information Systems or equivalent.
• Customer oriented with good interpersonal and communication skills.
• Independent and self-drive individual. Able to adapt to fast-paced work environment.
• Proficient in MS Excel and Word.

If you have what it takes, please send your resume to [email protected] or click APPLY NOW.

Data provided is for recruitment purposes only. Regrettably, only shortlisted candidates will be notified.
Business Reg No : 200611680D | Licence No : 10C5117 | EA Reg No : R2199023

Our client is a Automotive Manufacturing MNC. Due to their current expansion plan, they are looking for a Luxury Sales Advisor (Front Line) to join their team, in hopes of developing the current high performing team. They are located in the Central.

Job Responsibilities

• Identify customer needs by understanding their background, reason for visiting, and purchasing timeline, building a comprehensive customer profile.
• Provide personalized information to educate and inspire guests, offering a customized experience based on their interests.
• Demonstrate expert knowledge of all products and services for owners/customers.
• Support sales efforts by capturing customer contact details and scheduling test drives for individual who interest/potential to buy.
• Consistently update the CRM system to ensure accurate and up-to-date sales and delivery information for management.
• Facilitate vehicle preparation and delivery appointments, offering customized orientations based on the customer’s individual preferences and comfort levels.
• Any other duties as assigned.

Requirements

• Min 2 years’ relevant working experience
• Good Customer Service
• Good Communication Skills

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Email: [email protected]

Recruitpedia Pte. Ltd.

EA License No. 19C9682

EA Reg. No. R23115553 (Lai Hor Yan)

Why Build Your Career with Us?

Our Culture

• Team-Centered Approach: We believe in the power of collaboration, where ideas are shared, and everyone’s input is valued. Working together helps us drive success and foster creativity.
• Lively and Fun Atmosphere: Our workplace thrives on energy and excitement, offering an environment where collaboration and innovation flourish. It's a place where every day brings new opportunities to engage, grow, and succeed.
• Recognition and Rewards: We celebrate achievements by acknowledging and rewarding exceptional performance, which boosts motivation and enhances job satisfaction. Recognizing contributions helps create a positive and encouraging work environment.

Growth Opportunities

• Career Growth: Our global expansion creates numerous pathways for career growth, enabling you to aim for higher-level positions or explore new roles within the organization.
• Professional and Personal Development: We invest in your career progression by offering extensive learning opportunities and development programs tailored to help you thrive and achieve your professional goals.
• Exposure to different department: Opportunities to work with various teams to gain new experiences and learn how to collaborate effectively with different areas of the organization.

Responsibilities:

• Work closely with top performers and learn new ways to improve sales revenue
• Promote client's product and services through face-to-face engagement
• Develop and implement strategic approaches to achieve business goals

Required skills:

• Ability to adapt and take on new challenges
• Vibrant and engaging attitude to every task
• Good work ethics

We welcome candidates with no experience or from different industries to apply, as coaching will be provided. Interested candidates, kindly click apply!

Summary:

• Good working environment
• Entry level is welcome to apply
• 5 days, normal working hour
• Location: East, Paya Lebar

Responsibilities :

• Design and build electrical systems and components.
• Diagnose and maintain electrical systems.
• Perform testing and validation of electrical components.
• Produce technical documentation and schematics.
• Assist with certification processes for electrical systems.
• Examine and address electrical problems.
• Engage in design reviews and system enhancements.
• Track project progress and ensure on-time delivery.

Requirements :

• Posses at least Degree in Electrical Engineering or a related field.
• Relevant experience is advantage

To Apply, kindly click on the "APPLY NOW" button

We regret that only shortlisted candidates will be notified.

Staffking Pte Ltd (20C0358) | Khor Wan Ying (R22109948)

Nomura Overview

Nomura is a global financial services group with an integrated network spanning approximately 30 countries and regions. By connecting markets East & West, Nomura services the needs of individuals, institutions, corporates, and governments through its three business divisions: Retail, Investment Management, and Wholesale (Global Markets and Investment Banking). Founded in 1925, the firm is built on a tradition of disciplined entrepreneurship, serving clients with creative solutions, and considered thought leadership. For further information about Nomura, visit www.nomura.com.

Department Overview

Chief Data Office is the Group Central Data and Analytics arm that works closely with the Group Businesses and Group Corporate functions to enable the execution of Nomura Group Strategy through Robust Data Standards & Governance, Actionable Performance Metrics & MIS, and High Impact Information and Analytics Products and Solution.

Job Purpose

Develop and implement data science and AI solutions to drive business growth and operational efficiency across Nomura's Asia ex-Japan (AEJ) markets.

Role Description
Job Responsibilities
• Collaborate with business stakeholders to understand their data and analytical needs and translate them into actionable data science and AI solutions.
• Design, develop, and deploy machine learning models and AI applications to support various business functions, such as:
o Risk management
o Trading strategies
o Customer analytics
o Process automation
• Perform data mining, exploratory data analysis, and feature engineering to extract insights from structured and unstructured data sources.
• Implement and maintain data pipelines, ensuring:
i. Data quality ii. Data integrity iii. Data security
• Develop and optimize AI/ML models, ensuring:
i. Model accuracy ii. Scalability iii. Performance
• Building and managing model pipelines for test, train, and deployment.
• Collaborate with cross-functional teams, including data engineers, software developers, and subject matter experts, to ensure seamless integration of data science and AI solutions.
• Stay up to date with the latest advancements in data science, machine learning, and AI technologies, and continuously improve existing solutions.
• Implement AI governance practices, such as:
o Personally Identifiable Information (PII) detection
o Model bias detection and mitigation
o Model explainability and interpretability
o Ethical AI principles and guidelines

Skills, experience, qualifications and knowledge required:

• Bachelor’s degree in computer science, Data Science, Economics, Mathematics, Statistics, or a related field.
• At least 5 years of experience in data science, machine learning, or AI-related roles.
• Strong programming skills in Python, R, or other relevant languages, with experience in data manipulation, visualization, and machine learning libraries.
• Proficiency in managing research data, data architecture, data management, databases, data classification, data mining, and data processing techniques.
• Experience in developing data processing applications and managing AI/ML on cloud environments.
• Knowledge of AI governance concepts, frameworks, deployment, and model management.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.
• Familiarity with agile methodologies and project management practices.

Diversity Statement

Nomura is committed to an employment policy of equal opportunities, and is fundamentally opposed to any less favourable treatment accorded to existing or potential members of staff on the grounds of race, creed, colour, nationality, disability, marital status, pregnancy, gender or sexual orientation.

DISCLAIMER: This Job Description is for reference only, and whilst this is intended to be an accurate reflection of the current job, it is not necessarily an exhaustive list of all responsibilities, duties, skills, efforts, requirements or working conditions associated with the job. The management reserves the right to revise the job and may, at his or her discretion, assign or reassign duties and responsibilities to this job at any time.

SFID: 7967

Nomura Overview

Nomura is an Asia-headquartered financial services group with an integrated global network spanning over 30 countries. By connecting markets East & West, Nomura services the needs of individuals, institutions, corporates and governments through its four business divisions: Retail, Asset Management, Wholesale (Global Markets and Investment Banking) and Merchant Banking. Founded in 1925, the firm is built on a tradition of disciplined entrepreneurship, serving clients with creative solutions and considered thought leadership. For further information about Nomura, visit www.nomura.com.

Department Overview

Chief Data Office is the Group Central Data and Analytics arm that works closely with the Group Businesses and Group Corporate functions to enable the execution Nomura Group Strategy through Robust Data Standards & Governance, Actionable Performance Metrics & MIS, and High Impact Information and Analytics Products and Solution.

Job Purpose:

Drive development of analytics products for data and digital transformation across Nomura Group.

Role Description:
Job Responsibilities:

• Leader to create Nomura’s Information & Analytics Products. Proven experience in successfully delivering information & analytics products across global organizations with various levels of business analytics maturity, and the ability engage with analytics leaders of Nomura’s businesses to embed state-of-the-art analytics informed decision making.
• Thought leader in enabling data architecture and delivery of data-analytics platforms – on-premise, cloud and hybrid
• Exceptional information & analytics experience & technical skills. State-of-the-art expertise across, data/information preparation, data insight & visualization using BI (or similar tools), and advanced data prediction using AI, ML, DL, etc.
• Strong data management experience & technical skills. State-of-the-art expertise in data management to ensure the analytics products are appropriate/ethical and well-controlled.
• Information & analytics visionary. Envisage and deliver leading edge information & analytics products to Nomura’s businesses, strategically partnering both internally and externally to deliver best in class products.
• Be a trusted partner. Shape the information & analytics agenda at Nomura, and work with all of Nomura’s businesses in laying out their information & analytics adoption roadmaps.
• Create a strong delivery team. Lead, mentor and grow a global team of information & analytics experts capable of transforming Nomura.

Skills, experience, qualifications and knowledge required:

• Masters in quantitative fields (Computer Science, Statistics or similar) or at least a 4-year Bachelor’s degree in quantitative fields with minimum of 10 years of relevant data experience.
• Preferred experience in Financial Services and Other adjacent Consumer centric business
• Strong understanding of fundamental data concepts (data modelling, data pipelines, data quality, lineage etc.) and data warehousing methodologies. Conversant with data architecture paradigms
• Strong cloud engineering skills with ability to drive solution design - Experience with AWS data platforms like Redshift, EMR, RDS, Athena and Glue or similar
• Proficient with Data-Ops, AI and ML-Ops processes, platforms and methodologies and hands on with CI/CD, Jenkins, Ansible, DevOps process, Enterprise integration patterns.
• Microservices Development: Building and maintaining highly scalable and fault tolerant microservice, including efficient server-side APIs.
• Proficient in REST services, JSON data, Python 3, Linux/Unix Shell Scripting, containerization etc.
• Proficient in modern data management methodologies and architecture
• Experience with building and managing data pipelines using Spark or similar big data processing tools
• High acumen to identify business scenarios and use data and analytics to solve and drive business KPIs.
• Understanding of core business functions to apply analytics in specific areas and drive change management.
• Clear understanding of value driven by analytics interventions and able to drive decision making.
• Be able to connect and manage relationship with C-Suite/senior executives to drive data framework compliance and plan change management processes wherever necessary.
• Train and mentor teams and internal business units and stakeholders and data management framework requirements, improvements and operationalization.
• Understand agile ways of working, and able to manage and deliver multiple projects effectively. Can plan, requirements and dependencies; manage complex analysis and enable necessary reporting.
• Ability to make decisions independently and in line with corporate philosophy, professional ethics, compliance, risk management and Nomura code of conduct.

Diversity Statement

Nomura is committed to an employment policy of equal opportunities, and is fundamentally opposed to any less favourable treatment accorded to existing or potential members of staff on the grounds of race, creed, colour, nationality, disability, marital status, pregnancy, gender or sexual orientation.

DISCLAIMER: This Job Description is for reference only, and whilst this is intended to be an accurate reflection of the current job, it is not necessarily an exhaustive list of all responsibilities, duties, skills, efforts, requirements or working conditions associated with the job. The management reserves the right to revise the job and may, at his or her discretion, assign or reassign duties and responsibilities to this job at any time.

SFID: 7966

We are seeking a skilled and motivated Intermediate Data Engineer to join our dynamic team. The successful candidate will play a crucial role in designing, developing, and maintaining our data infrastructure, ensuring efficient processing and analysis of large datasets. As an Intermediate Data Engineer, you will collaborate with cross-functional teams to implement data solutions that align with our business objectives.

Responsibilities:

1. Data Pipeline Development: Design, implement, and maintain scalable data pipelines for the extraction, transformation, and loading of large datasets.
2. Data Modelling: Develop and optimize data models to support analytical and reporting requirements, ensuring data accuracy and reliability.
3. Data Integration:Integrate diverse data sources and formats to enable seamless data flow across systems.
4. Data Quality Assurance:Implement and monitor data quality checks to ensure the integrity of the data throughout the entire data lifecycle.
5. Collaboration: Work closely with business analysts, colleagues and other stakeholders to understand data requirements and deliver effective solutions.
6. Performance Optimization:Identify and address performance bottlenecks in data processing and storage systems.
7. Documentation: Document data engineering processes, data models, and configurations for knowledge sharing and future reference.
8. Adherence to Best Practices: Stay current with industry trends and best practices in data engineering within company and ensure the adoption of these practices within the team.

Requirement/Skillsets:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Minimum of 5 years of proven experience as a Data Engineer or similar role.
• Strong proficiency in programming languages such as Spark SQL and Python in a HIVE environment.
• Familiarity with cloud platforms such as AWS and Big Data infrastructure, Jira, Bitbucket, etc.
• Experience in CI/CD pipeline and working in an Agile environment.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
• Knowledge of data warehousing concepts and technologies.
• Candidates with experience in the Banking Industry will have an added advantage.
• Ability to communicate effectively with multiple levels of management and summarize complex technical requests succinctly.

EA License Number : 11C4879

We are seeking a skilled Data Engineer with expertise in Informatica, data engineering, data analysis, and SQL. The ideal candidate will play a pivotal role in managing data pipelines, ensuring data quality, and delivering actionable insights through dashboards. This position also involves collaboration with clients and stakeholders to understand their data needs and deliver tailored solutions.

• Experience: 7+ years of experience in data engineering or a related field, with a strong focus on ETL processes and data analysis.
• Technical Skills:Proficiency in Informatica
  Strong SQL skills for data manipulation and querying.
  Experience with data visualization tools (e.g., Tableau, Power BI).
  Familiarity with programming languages (e.g., Python, Java) is a plus.
  
• Analytical Skills: Excellent analytical and problem-solving abilities, with a strong attention to detail.
• Communication Skills: Strong verbal and written communication skills, with the ability to explain complex data concepts to non-technical stakeholders.
• Project Management: Ability to manage multiple tasks and projects simultaneously, prioritizing effectively to meet deadlines.

Job Description

We are seeking a skilled and motivated Intermediate Data Engineer to join our dynamic team. The successful candidate will play a crucial role in designing, developing, and maintaining our data infrastructure, ensuring efficient processing and analysis of large datasets. As an Intermediate Data Engineer, you will collaborate with cross-functional teams to implement data solutions that align with our business objectives.

Key Responsibilities:

Data Pipeline Development: Design, implement, and maintain scalable data pipelines for extracting, transforming, and loading large datasets.

Data Modelling: Develop and optimize data models to support analytical and reporting requirements, ensuring data accuracy and reliability.

Data Integration: Integrate diverse data sources and formats to enable seamless data flow across systems.

Data Quality Assurance:Implement and monitor data quality checks to ensure the integrity of data throughout the lifecycle.

Collaboration: Work closely with business analysts, colleagues, and stakeholders to understand data requirements and deliver effective solutions.

Performance Optimization: Identify and address performance bottlenecks in data processing and storage systems.

Documentation: Document data engineering processes, models, and configurations for knowledge sharing and future reference.

Adherence to Best Practices: Stay updated on industry trends and best practices in data engineering and promote their adoption within the team.

Requirements:

· Bachelor’s degree in computer science, Information Technology, or a related field.

· Minimum of 5 years of proven experience as a Data Engineer or in a similar role.

· Strong proficiency in programming languages like Spark SQL and Python, especially in a HIVE environment.

· Familiarity with cloud platforms (AWS), Big Data infrastructure, and tools such as Jira and Bitbucket.

· Experience with CI/CD pipelines and working in an Agile environment.

· Excellent problem-solving skills and attention to detail.

· Strong communication and collaboration skills.

· Knowledge of data warehousing concepts and technologies.

· Candidates with experience in the Banking Industry will have an added advantage.

· Ability to communicate effectively with multiple levels of management and summarize complex technical requests succinctly.

Key Responsibilities:

1. Responsible for the development of ETL pipeline in open source to

carry out data ingestion

2. Write programs to extract data from data lake and curated data layer

to meet business objectives

3. Collaborate with different teams to gather the understanding of the

application to design the ETL pipeline

4. Gather business and functional requirements, and translate these

requirements into robust, scalable, operable solutions that work well

within the overall data architecture

5. Participate in the full development life cycle, end-to-end, from

design, implementation, and testing, to documentation, delivery,

support, and maintenance and produce comprehensive, usable

dataset documentation and metadata

Requirements:

1.Programming languages: Python / Spark

2.Experience with Linux utilities & SQL.

3.Experience in using PySpark for data transformation.

4. Knowledge of AWS services such as Redshift, Glue, Cloudformation,

EC2, S3, Lambda.

5. ETL Tool Experience would be an added advantage

6. AWS Exposure would be an added advantage

Our client is a well-established MNC, market leader in the IT industry. Due to their current expansion plan, they are looking for an IT Maintenance Engineer to join their team, in hopes of developing the current high performing team. They are located in the West.

Responsibilities:

• Provide technical assistance to clients when required.
• Support operations on a 24/7 basis, with rotating shifts.
• Diagnose and resolve technical issues promptly.
• Communicate complex technical information in simple terms to clients.
• Understand and manage client requirements.
• Collaborate with the support team to escalate unresolved issues to the relevant product vendors.
• Maintain close communication with vendors to improve and support product solutions based on feedback and industry trends.
• Continuously enhance knowledge in IT security products and solutions.
• All other adhoc duties as assigned.

Requirements:

• Minimum Nitec/Diploma or other related field of studies.
• Minimum 1 years’ relevant experience.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Email: [email protected]

Recruitpedia Pte. Ltd.

EA License No. 19C9682

EA Reg. No. R23115553 (Lai Hor Yan)

Seeking skilled and motivated Intermediate Data Engineer to join our dynamic team.

Industry: Banking Industry

Min 5yrs Data Engineer work experience

Work Location: Changi Business Park

The successful candidate will play a crucial role in designing, developing, and maintaining our data infrastructure, ensuring efficient processing and analysis of large datasets. As an Intermediate Data Engineer, you will collaborate with cross-functional teams to implement data solutions that align with our business objectives.

Responsibilities:

1. Data Pipeline Development: Design, implement, and maintain scalable data pipelines for the extraction, transformation, and loading of large datasets.
2. Data Modelling: Develop and optimize data models to support analytical and reporting requirements, ensuring data accuracy and reliability.
3. Data Integration: Integrate diverse data sources and formats to enable seamless data flow across systems.
4. Data Quality Assurance: Implement and monitor data quality checks to ensure the integrity of the data throughout the entire data lifecycle.
5. Collaboration: Work closely with business analysts, colleagues and other stakeholders to understand data requirements and deliver effective solutions.
6. Performance Optimization: Identify and address performance bottlenecks in data processing and storage systems.
7. Documentation: Document data engineering processes, data models, and configurations for knowledge sharing and future reference.
8. Adherence to Best Practices: Stay current with industry trends and best practices in data engineering within company and ensure the adoption of these practices within the team.

Requirements:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Minimum of 5 years of proven experience as a Data Engineer or similar role.
• Strong proficiency in programming languages such as Spark SQL and Python in a HIVE environment.
• Familiarity with cloud platforms such as AWS and Big Data infrastructure, Jira, Bitbucket, etc.
• Experience in CI/CD pipeline and working in an Agile environment.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
• Knowledge of data warehousing concepts and technologies.
• Candidates with experience in the Banking Industry will have an added advantage.
• Ability to communicate effectively with multiple levels of management and summarize complex technical requests succinctly.
• Locals to apply

NOTE : Interested applicants, Pls send CV to [email protected] (ES Recruitment Pte Ltd 09C4235, R1103307 Hong Mei Lin)

Summary:

We are looking for a highly skilled and passionate Senior Data Scientist to join our dynamic team in Singapore. The ideal candidate will have a strong background in data analysis, machine learning, statistical modeling, and generative AI applications. In this role, you will drive data-driven decision-making, develop innovative solutions, and contribute to projects that enhance our products and services.

Reporting directly to the Chief Scientist, you will be part of a supportive team that values passion and collaboration. This fast-paced journey promises both excitement and fulfillment.

Responsibilities:

• Develop genAI-based solutions that involve LLM, RAG, image-related algorithms, etc
• Provide fully customized user experience, including recommender, search, or other classification and regression tasks
• Design, develop, and implement advanced analytical models and algorithms to solve complex business problems.
• Analyze large datasets to extract insights, identify trends, and support data-driven decision-making.
• Collaborate with cross-functional teams, including product managers, engineers, and stakeholders, to understand business needs and deliver actionable insights.
• Lead the end-to-end data science process, from data collection and cleaning to model deployment and monitoring.
• Communicate findings and recommendations effectively to both technical and non-technical audiences through visualizations and presentations.
• Mentor and guide junior data scientists and analysts in best practices and methodologies.
• Stay up-to-date with the latest developments in data science, machine learning, and AI to continually enhance team capabilities.

Requirements:

• Master’s in Computer Science, Statistics, Mathematics, or a related field
• 5+ years of experience in data science, machine learning, or a related role
• Proficiency in programming languages such as Python, R, or SQL
• Experience with optimization techniques (e.g., linear programming, convex optimization)
• Strong understanding of statistical analysis and data modeling techniques
• Familiarity with large-scale software engineering (e.g., Hadoop, Spark) is a plus
• Excellent problem-solving skills and ability to work independently and collaboratively
• Strong communication skills, with the ability to present complex concepts to a diverse audience

Main Responsibilities

• Being part of a team of data scientists to build, deploy and monitor AI/ML models to generate values for the business.
• Manage key stakeholders’ expectations, set project directions, timeline, and deliverables.
• Ideate and design solutions for process re-engineering to embed the AI/ML model into business processes.
• Experimental design to attribute value contribution of data science models.
• Research and development on new tools and evaluate bringing it into client’s tech stack.
• Create a high-performing team culture and keep up to date with latest developments in data science.

Qualifications & Experience

• Bachelor’s degree or above in Statistics, Computer Science, Mathematics, Business Analytics, Economics, or relevant fields.
• Masters in Statistics or any quantitative analytics or equivalent professional qualification.
• At least 2 – 5 years of relevant experience in financial services industry, understand drivers of business and able to apply data solution to deliver desirable outcomes.
• Individual should have experience in dealing with large customers’ data set, able to generate insights from complex analysis and models and communicate effectively to stakeholders.
• Individual should have a track record of building and deploying data science models that have a measured value contribution to the business.
• Individual should have insurance domain knowledge.
• Individual should have experience in leading a small team.
• Proficient in AWS, Snowflake, Airflows, SageMeta (AWS ML).