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.

We're looking for an experienced Consultant with technical expertise to provide guidance in our customers' zero trust journey and build our practice.

Reporting to the Data Protection Competency Tower, you will :

• Be a customer's 'Go-To' resource for all matters related to their SSE deployments
• Deliver best practices guidance for managing SSE deployments
• Have outstanding customer communication and problem-solving skills
• Have experience in working with customers, demonstrating problem-solving skills and a can-do attitude

What We're Looking for (Preferred Qualifications)

• 8+ years' experience for this role in similar positions (Professional service consultant, Network/Security specialist, Technical Account Manager)
• This role is primarily an individual contributor position without managerial responsibilities. However, as an IC, you are expected to play a crucial role as a team player, collaborating effectively with colleagues to achieve common goals.

What We're Looking for (Minimum Qualifications)

• 5+ years' experience for this role in similar positions (Professional service consultant, Network/Security specialist, Technical Account Manager, Support/Escalation Engineer or a SOC Engineer).
• This role is primarily an individual contributor position without managerial responsibilities. However, as an IC, you are expected to play a crucial role as a team player, collaborating effectively with colleagues to achieve common goals

What Will Make You Stand Out (Preferred Qualifications)

• Experience in Network and Security solutions and customer facing/field roles
• Experience with the following solutions (Gartner Magic Quadrant SSE Leaders): Netskope, Palo Alto Networks, Zscaler

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.

Roles & Responsibilities:

• Manage the maintenance and daily operations of the Data Centre facilities with the objective of achieving uninterrupted availability at all times and to ensure the fulfilment of our service commitment to customers.
• Support service delivery to ensure contracted service level agreements and key performance indicators are met or exceeded.
• Lead and manage team of 24/7 to deliver project related to maintenance, upgrade and expansion/optimisation of the Data Centre infrastructure
• Act as the site primary point of contact for internal and external stakeholders involving communication and relationship management.
• Plan and execute preventive maintenance schedules and corrective actions for identified issues.
• Responsible for the on-site management of contractors, sub-contractors and vendors, ensuring that all work erformed is in accordance with established practices, procedures & local legislation.
• Establish and maintain operational, maintenance, and emergency procedures to ensure the Data Centre remains in optimal condition.
• Lead emergency response procedures in case of power outages, equipment failures or other disruptions.
• Maintain compliance of all relevant safety, environmental, and regulatory standards, including its documentation of all procedures and systems.
• Lead and manage Data Centre audits.
• Collaborate with both internal and external stakeholders on Data Centre operations smooth integration of Data Centre operations with other critical functions and on maintenance and upgrade of equipment and systems.
• Ensure safety protocols are established and enforced to protect personnel and equipment.
• Monitor the performance of facility equipment, driving continuous improvements for greater operational efficiency.
• Generate monthly progress reports and track deliverables.
• Any other work necessary for effective operations of the Property.

Job Requirements:

• Degree from recognised tertiary establishment in Engineering or equivalent.
• At least 5 years of working experience in Data Centre Facility Management/Environment
• Possess broad-based knowledge and skills in the areas of building technology, mechanical and electrical services and facilities management
• Good knowledge and understanding of Data Centre infrastructure systems with experiences working on mission critical systems such as UPS, Chiller, CRAC, Thermal/Fan Wall Cooling, Electrical HT/LT, Fire protection, Water Detection systems, Fire Suppression systems, PDU, CCTV, Card Access System etc.
• Have good working knowledge for best practices in fire/workplace safety, management, control, and operating a Data Centre hosting services
• Possess Data Centre Certification such as Certified Data Centre Facilities Operations Manager (CDFOM)
• Strong leadership qualities and analytical skills to assess situation and determine the best course of action
• Good interpersonal soft skills and verbal & written communication.
• Good working knowledge and understanding of maintenance and contracts.
• Must be a positive, collaborative, active excellent problem-solver, being customer service oriented and conscientious.

• Support and coordinate meetings for the Data Governance Workgroup.
• Manage processes for Data Governance Workgroup decks and minutes.
• Liaise with enterprise stakeholders for status updates.
• Assist in the onboarding of new metrics and monitoring and review of commentaries.
• Support data change management process to keep data artefacts updated.
• Assist in following up with internal and cross-functional stakeholders to track progress of metadata collection efforts.
• Coordinate with data platform team and vendors for metadata tool implementation.
• Preparation of DaaS Governance Committee status updates for the enterprise metadata solution.
• Possess a degree in Computer Science/Information Technology or related fields.
• Minimum 3 years of experience in Enterprise Data Management tools and visualization tools (e.g. SQL, Tableau, etc.).
• Good analytical and problem solving, written and communication skills.
• Strong communication and people engagement skills to interact internally within team and externally across functions to design and develop solutions.
• Ability to engage with business, gather requirements on business needs and translating them into data solutions.
• Ability to design data quality metrics and monitor data quality of enterprise data.
• Proficiency in Microsoft Office Suite and other relevant software application.
• Possess good knowledge of financial instruments and markets.
• Self-driven, pro-active with great sense of purpose to relook existing processes and implement innovation to strive for greater quality and efficiency of data solutions.
• Knowledge in data quality management, metadata management and data discoverability, data Lineage and traceability, and governance oversight management is preferred.

Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.

Our powerful, award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. Diversity, equity & inclusion are integral parts of our culture and drivers of innovation at Keysight. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

Job Description

This position is for a full-time Software Engineer to join Keysight’s Quantum Engineering Solutions (QES) organization, which is responsible for producing world-leading solutions in quantum technologies, including quantum computing, quantum communications and quantum sensing. As a Solution Developer, you will be part of an R&D team and launch breakthrough software solutions to market. You will engage in every stage of our product development process, addressing intricate technical hurdles in a customer-centric setting, while implementing a novel method for integrating classical data systems with quantum operations and third-party software as a Data Engineer.

Job Responsibilities

• Architect and implement scalable, cutting-edge data workflows to support quantum computing operations, including experiment data processing, calibration, and real-time analytics.
• Leverage advanced automation tools to manage and orchestrate workflows that integrate data from classical systems into quantum environments, ensuring high reliability and efficiency.
• Build and maintain data infrastructure, ensuring proper version control, data lineage, and efficient handling of large datasets produced by quantum experiments.
• Continuously analyze and optimize data workflows to enhance throughput, reduce latency, and improve overall system performance in a research-driven environment.
• Work independently as well as in teams to accomplish business objectives.

Job Qualifications

• Bachelor’s, Master’s, or PhD in Computer Science, Physics, Electrical Engineering, or a related field with 4-7 years job experience.
• Good understanding of quantum computing concepts, and experience integrating classical data workflows with quantum experiments is highly desirable.
• Background in High-Performance Computing (HPC), data-intensive research projects, or scientific computing environments is preferred.
• Expertise in Python for developing, automating, and optimizing scientific data processing systems.
• Experience designing and managing data workflows using tools like Airflow, Spark, or similar, with a strong understanding of ETL processes and data infrastructure.
• Strong experience in SQL for querying, transforming, and managing large datasets.
• Knowledge of optimization techniques and algorithms.
• Ability to work in a collaborative environment and to develop teamwork among individuals and over geographically disperse teams.
• High tolerance for ambiguity, results-oriented, meets timelines, handles pressure while working positively in a collaborative manner.
• Excellent written and verbal communication skills
• Willingness to learn proactively.

Key Responsibilities:

· Conduct comprehensive data analysis, ensuring accuracy and consistency.

· Manage data reconciliation and quality checks, including implementation, monitoring, and troubleshooting.

· Handle data issue management, ensuring timely resolution.

· Proficiently use Oracle PL/SQL for database management and reporting.

· Perform User Acceptance Testing (UAT) to validate system changes and upgrades.

· Manage Service Level Agreements (SLAs) and address queries from end users effectively.

· Provide comprehensive technical and functional documentation support.

· Leverage investment data domain knowledge to support business and operational needs.

· Collaborate with cross-functional teams to troubleshoot data and system issues.

Mandatory Requirements:

· Degree in Computer Science, Information Technology, or related fields.

· Strong expertise in Oracle PL/SQL.

· Experience in data reconciliation, issue management, and quality checks.

· Experience in UAT execution and management.

· Ability to manage SLAs and user queries.

· Strong problem-solving and logical thinking skills.

· Knowledge of investment data domain is essential.

Preferred Skillsets:

· Proficiency in Tableau for data visualization.

· Experience with Snowflake.

· Familiarity with Denodo for data virtualization.

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)

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

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

We regret that only shortlisted candidates will be notified.

Job Description

AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF) to anchor deep national capabilities in Artificial Intelligence (AI).

The programme office is hosted by the National University of Singapore (NUS) and brings together all Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies developing AI products to perform use-inspired research, grow the knowledge, create the tools, and develop the talent to power Singapore's AI efforts.

We are looking for an AI Engineer to perform development and engineering work for the SEA-LION project under AI Singapore.

Duties & Responsibilities

• Develop data processing pipeline for multilingual dataset
• Develop data processing tools for multiple data sources (e.g. txt, pdf, html)
• Develop web scraping pipeline for targeted scraping of data sources
• Develop and train classifier for data quality filtering
• Perform literature review of academic machine learning papers
• Keep abreast of latest developments in NLP, AI and LLMs.

Qualifications

• Degree/Master in Computer Science, Machine Learning, AI, Statistics, Mathematics, Engineering or equivalent practical experience
• Familiar with NLP tasks and modern NLP models
• Familiar with text based data processing
• Familiar with EDA techniques for text data
• Fluent in Python, PyTorch, Hugging Face, AllenNLP and related nlp libraries
• Fluent in data processing and web scraping tools
• Previous experience with language modeling will be a plus
• Ability to write and communicate in English
• Candidates with no experience are welcome to apply

Responsibilities

• Creation and maintenance of static data in Treasury systems. Static data includes set up of customer records, settlement instruction and instruments.
• Ensure team Service Level Agreements are met and all requests are completed accurately and timely
• Ensure a continued and effective on-going daily process when covering the duties of co-partner
• Support global entities’ static requests
• Check and prepare the section’s daily reports
• Attend to internal and external customers' queries
• Drives process improvement and system automation
• Ensure compliance to Department and Bank’s operational risk and regulatory requirements.

Skills/Requirement

· Good knowledge and understanding in treasury products or processing

· Good knowledge of MS Office Suite, including proficiency in Excel

· Meticulous and accurate in work

· Ability to focus on high quality work while under pressure

· At least 1 year of relevant experience in static data management preferred

· May need to work on weekends / SG public holidays (where required)

· Good knowledge of programming skills especially on C++

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

We are a centrally located boutique recruitment firm experiencing strong growth. As the company scales, we are looking to bring on a Recruitment Consultant who can help support us through the next phase of the growth and development roadmap.

Job Highlights:

• Junior/ Entry (No experience required - Training Provided)

• Senior level positions from various sectors are available

• Convenient location (5 minute to Tanjong Pagar MRT)

• Abundant personal growth and progression opportunities

• Start-up environment, welcoming workplace culture

• Stable Basic Salary + Attractive Incentives

Job Duties:

• An integral role as a recruiter in fulfilling clients' staffing needs.

• Handle full spectrum of recruitment and talent acquisition matters

• Conduct Interviews/phone screening and select potential candidates to meet clients' requirements.

• Coordinate interviews between candidates and clients

• Developing connections and new business and relationship management sources with existing accounts.

• Networking and building relationships with business partners and jobseekers

• Other ad-hoc duties apply

Description / Requirements:

• Minimum Diploma / Degree

• Entry Level to Experienced consultants welcome (Multiple positions)

• Strong passion for recruitment and people-oriented

• Good communication and interpersonal skills

• Comfortable working in a fast-paced environment

• CEI certified would be an advantage

• Self-motivated, proactive personality, willing to work and achieve goals in a team.

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 the shortlisted candidates will be notified.

Email Address: [email protected]

Location: West with company transport provided

Work hours: Any 5 days in a week (mon to sun)

Salary: Up to $4.2K (Depending on experience)

Job Scope:

• Ensure the plant day-to-day operation is functional at its optimum level.

• Assist the E&I Engineer and lead a team of skilled worker in the maintenance and expeditious repair of the plant’s equipment.

• Handling distributed control system and instruments in the plant and perform daily inspection on equipment.

• Performing scheduled maintenance such as preventive and predictive programs of the plant equipment and machinery

• Analyze breakdowns, diagnose faults, and execute the required rectification process.

• Take part in plant overhaul activities.

• Ensure close coordination with various parties for maintenance activities.

• To ensure that equipment maintenance & service procedures and programs are effectively implemented consistent with sound engineering practices.

• Ability to understand system schematics and drawings.

• Assist the engineer in any other duties as required.

Job Requirements:

• Min. Degree in electrical engineering

For interested applicants, please send your updated resume to: [email protected]

All candidates’ information will be treated with the strictest confidence

Melissa Zhang Zhiqi (Mezzo)

R2197564

Recruit Express Pte Ltd

99C4599

Responsibilities

• To meet monthly sales goals by finding leads, building a client list, and turning prospects into clients.
• To identify key decision-makers at clinics to promote Cord Tissue Storage
• To build and maintain good relationships with clients, partners, and customers.
• To follow up with customers from sign-up to delivery, before and after sales.
• To handle leads by setting up home presentations, organizing Kit boxes
• To attend and represent the company at baby events, seminars, and other relevant functions.
• To complete other tasks as assigned by supervisors.

Requirements

• Possess at least diploma in any science field.

Interested candidates please send in your resume to:

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

Recruit Express Pte Ltd, EA License No.: 99C4599

Location: Tuas with company pick up
Working Hours: 12 hrs shift
Duration: 6 months
Salary: Up to $2500 + $250 Transport + Shift allowance ($500 - 700)

Job Scope:

• Perform production activities such as raw or intermediate material receiving, staging, material movement, dispensing, sampling, filter inspection, material charging, offloading, drum packing, milling operations, housekeeping as per SOP.
• Ensure proper communication and handling over of shift duties.
• Complete all documentation including Record of Manual Operation (RMO), Cleaning Instruction (CI), Manufacturing Instruction (MI) according with GMP and GDP standards.

Job Requirements:

• Min. Diploma in any science/ engineering field
• No experience as training will be provided
• Able to start immediate/ within short notice required

For interested applicants, please send your updated resume to: [email protected]
All candidates’ information will be treated with the strictest confidence
Melissa Zhang Zhiqi (Mezzo)
R2197564
Recruit Express Pte Ltd
99C4599

Summary:

• The successful candidate will be involved in the data management tasks
• Expected to possess knowledge of the financialindustry
• Should be good with data visualization
• Experience with programming languages such as Python, Java, SQL etc.

Responsibilities:

• Work closely with business stakeholders, data engineers to implement and support data distribution solution.
• Design an optimal onboarding process with clear visibility of the various life cycle of a product.
• Contribute, influence, and validate the design of data distribution solutions to ensure they meet both business and operational needs.
• Perform data access control operations to ensure data ingested and distributed comply with enterprise data governance and data handling standards.
• Lead the dataset registration conversation with business and metadata team to ensure that the dataset are properly registered.
• Document the business requirements clearly.
• Perform user acceptance testing on the data distribution channel and ensure that it meets the requirements.
• Identify opportunities for continuous improvement in assigned area of work

Skillset

• 2 to 3 years of working experience, with relevant experience in data management and the financial services industry.
• Good understanding of the principles, key controls and processesrelating to data management, as well as data integration and data distribution.
• Familiarity with data visualization tool (e.g. Tableau, PowerBI) and data virtualization technology such as Denodo will be advantageous.
• Strong analytical skill with passion in complex problem solving.
• Basic coding skill will be advantageous.
• Excellent written and verbal communication skills.
• Strong interpersonal skill to interact with diverse stakeholders.
• Agile, fast learner and able to adapt to changes.
• Experience with the System Development Life Cycle (SDLC) implementation methodology and/or Agile methodologies like Scrum and Kanban.

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

Salary: up to $3000

Working Days & Hours: Mon-Fri Office Hours, Alt Sat (7am to 3pm)

Location: Taiseng

Job Description:

• Perform model conversion setup and execute production buyoff procedure for mass production run
• Assist in setting up new machine and carrying out relocation activities if required
• Perform trouble shooting and analysis on product quality issue and work with engineer on corrective/preventive actions.
• Carry out preventive maintenance to SMT machines and other automation machines including tooling jig & fixtures.
• Initiate and carry out continuous improvement project to improve the manufacturing productivity and efficiency of equipment
• Provide control and monitoring of production machine spare part inventory and indirect material inventory
• Ad-hoc assignments as tasked

Job Requirements: Min Diploma in Mechanical/Electrical Engineering or similar w min 2 yrs of relevant experience in print circuit board

Interested candidates, please submit your resume to: [email protected]

Ally Audrey Lok Xin Woon

Recruit Express Pte Ltd (Healthcare & Lifescience)

Company EA Licence number : 99C4599

Personnel EA License: R21102307

[email protected]

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

Responsibilities for Data entry assistant

• Transfer data from paper formats into computer files or database systems using keyboards, data recorders or optical scanners
• support in adhoc admin duties
• Create spreadsheets with large numbers of figures without mistakes
• Verify data by comparing it to source documents
• Update existing data
• Retrieve data from the database or electronic files as requested
• Perform regular backups to ensure data preservation
• Sort and organize paperwork after entering data to ensure it is not lost
• Greet visitors and point them in the right direction, answer inquiries, and create a welcoming environment
• Organize and maintain files and databases in a confidential manner
• Manage communication including emails and phone calls
• Screen phone calls, redirect calls, and take messages
• Schedule appointments, meetings, and reservations as needed
• Receive invoices and review for accuracy
• Assist HR Manager on all related HR/Admin duties
• Team player to work in office environment

Qualifications for Data entry Assistant

• High school diploma or general education.
• 1-2 years of clerical, secretarial, or office experience
• Proficient computer skills, including Microsoft Office
• Strong verbal and written communication skills
• Any additional certifications
• High degree of attention to detail
• Data entry experience
• Working knowledge of general office equipment

The Opportunity

• Opportunity to work for one of the leading financial service providers and top banks
• 12 months contract

We are seeking a Data Analyst to support the design, development, and implementation of various dashboard requirements. The ideal candidate will collaborate closely with a team of data analysts and business users throughout each project stage to ensure timely and high-quality delivery of dashboard solutions.

Responsibilities

1) Requirements Gathering:
a) Gather and analyze requirements from business stakeholders.

2) Data Preparation:
a) Clean, transform, and analyze data to ensure its suitability for dashboard development.
b) Perform data discovery and analysis from the bank's data platform to assess the feasibility of requirements.

3) Dashboard Design:
a) Conceptualize dashboard designs through wireframes and prototypes.
b) Develop visually appealing and intuitive dashboards in QlikView/Qlik Sense to effectively communicate key insights and metrics.
c) Apply best practices in user interface (UI) and user experience (UX) design.

4) Testing & Troubleshooting:
a) Conduct testing and troubleshooting to ensure dashboard functionality and performance across different devices and platforms.

5) Training:
a) Conduct training sessions and roadshows to promote awareness and usage among target users.

6) Additional Tasks:
a) Assist with other data discovery tasks (non-dashboard related) that the team is working on.

Qualifications

7) Qualifications and Requirements:
a) Education: Bachelor's degree in Business Analytics, Computer Science, or a related field.
b) Technical Skills:
i) Experience with QlikView and Qlik Sense, including dashboard development, data modelling, and reporting.
ii) Proficiency in Business Intelligence (BI) tools, visualization tools, and scripting.
iii) Knowledge of SQL for data manipulation.

8) Analytical Skills:
a) Ability to convert data into meaningful information and insights.
b) Strong problem-solving skills and ability to propose fit-for-purpose solutions.

9) Soft Skills:
a) Strong interpersonal, communication, and presentation skills.
b) Effective time and stakeholder management skills.

Next Steps

Prepare your updated resume to [email protected]
We regret to inform only shortlisted candidates will be contacted

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

Job Responsibilities:

1. Define the design vision for products, drive user interface innovation, and ensure the design strategy aligns with the company’s overall goals and product roadmap.

2. Work closely with product management, development, marketing, and other teams to ensure that design solutions meet user needs while also aligning with technical and business objectives. Coordinate resources and workflows.

3. Supervise the entire design process from concept to execution, ensuring the designs meet up quality standards and are completed on time within budget.

4. Develop and maintain design systems to ensure consistency and scalability, especially to maintain the unity of the design when dealing with multiple products or platforms.

5. Continuously iterate and optimize the product’s UI/UX design through user testing, feedback collection, and data analysis to enhance user satisfaction.

6. Focus on creating intuitive and efficient user experiences, ensuring the interface adheres to user-centered design principles, simplifying complex processes, and enhancing ease of use.

7. Lead and manage the UI/UX design team, set design goals, and provide constructive feedback.

8. Keep track of industry design trends and technologies to maintain the company’s strategic competitive edge.

9. Handle other tasks assigned by the company.

Job Requirements:

1. Bachelor’s degree or above in design, user experience, interaction design, or related fields.

2. At least 5 years of UI/UX design experience and over 2 years of team management experience. Experience in Web3, blockchain, cryptocurrency, or fintech industries is preferred.

3. Proficient in user experience design methods such as user research, information architecture, wireframing, prototyping, and other user experience design methods. Capable of translating complex technical concepts into user interfaces. Familiar with tools like Figma, Sketch, Adobe XD, etc.

4. Knowledgeable in user testing, A/B testing, and data-driven design optimization processes.