Jobscope

• Operate equipment, clean, assemble and maintain the cleanliness of the equipment.
• Maintain the documentation of operations in accordance with cGMP requirement.
• Operate the equipment in accordance with SOP / batch document.
• Perform online monitoring and check through the batch
• Complete all relevant documentation required for packing, maintenance and cleaning of equipment in the work area.
• Maintain the cleanliness of work area to ensure cGMP compliance.
• Perform all duties required to meet the schedule.
• Check dispensed input packaging materials and product details against batch document.
• Co-ordination with Engineering for break down rectification of Packing equipment.
• Participate in investigation of process deviation, cGMP and all other compliance related matters
• Ensure compliance to GxP / Safety / Quality policies.

Requirements

• Min NITEC education or Higher NITEC/ Diploma in Chemical Processing/ Chemical Technology/ Biotechnology / Biomedical / Mechanical / Mechatronics Engineering or relevant disciplines
• 2-5 years of manufacturing experience in Pharmaceutical, Chemical or related industries.
• Fresh candidates are welcome to apply too as training will be provided
• Good understanding of safe working practices and cGMP.

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

Overall Function

Reporting to the Head of Data Centre, the incumbent will primarily be involved in the day-to-day operations of the NETS Data Centre.

Key Responsibilities

• Perform day-to-day data centre/ computer operations (batch processing, printing reports, systems backup, tape management, server reboots, facilities and infrastructure checks in the data centre)
• Pro-actively monitor the data centre systems’ uptime and connectivity to ensure system availability to prevent any down time, and coordinate problem resolution with vendor or second level support groups.
• To log and submit problem management record and assign to appropriate party
• Ensure physical security procedures are followed strictly
• Performs escorting of personnel to and fro the Data Centres for both Kim Chuan & Bedok

Requirements

• Minimum Nitec/ Higher Nitec/ Diploma in Computer Science/ Information Technology or equivalent
• Able to perform 24-hours rotational shifts (3 shifts)
• Strong initiative and able to work independently
• Good knowledge with Windows server / UNIX / AIX
• Minimum 1-2 years of relevant working experience in a Data Centre environment

Responsibilities

• Perform statistical analyses and derive business insights for Trading, Execution, and Sales at finance Markets.
• Develop quantitative models for Market Making, Order Execution, and Delta One desks.
• Build data pipelines and dashboards associated to distinct use cases on the Trading floor.
• Ensure data quality, including mining, cleansing, and analyzing large datasets for use-case development.
• Develop well-documented code, mainly in Python, for optimizing and automating trading flow.
• Assist with the business development and vision of Markets Data Analytics, including liaising with external vendors, scheduling and monitoring teamwork, preparing reports, and building business presentations.
• Assist with the creation of software applications, user interfaces, APIs, and automated reports for business users.
• Present insights associated to business results and Data-Science methodologies to key stakeholders.
• Assist, when needed, with the development of Data Analytics platform, including Databases and Data Lake.
• Collaborate with Data Scientists, Developers, and Traders to jointly meet deadlines.

Qualifications & Skills

• Master or PhD in a technical field, such as Statistics, Mathematics, Physics, Engineering, Economics, or alike.
• 4+ years of work experience as a Quantitative Analyst or Data Analyst in a financial firm.
• Advanced coding skills in Python.
• Advanced knowledge of Power BI, Tableau, and VBA / Power Query.
• Proven experience in Quantitative Trading and/or Algorithmic Trading.
• Knowledge of Machine Learning methodologies, including Clustering techniques, Factor Modelling, Reinforcement Learning, and Advanced Statistics.
• Certain knowledge of Mathematical Finance and Financial Markets, for example Algorithmic Trading, Derivative Pricing, Portfolio and Risk Management, Dynamic Programming, and Numerical Methods.
• Knowledge of Scrum methodology, Agile framework, and Jira.
• Knowledge of Git, SQL, Spark, and Dash (or similar).
• Familiarity with cloud services such as Microsoft Fabric, Azure Synapse, Databricks, and Snowflake.
• Experience with Business Development is a plus.
• Experience with MLOps tools (e.g. Dataiku or similar) and with programming languages such us R and Scala is a plus.
• Collaborative, team player, open minded, and easy to work with.
• Proficient presentation skills and high attention to detail.
• Able to explain technical results to non-technical audiences.

Company Overview:

Traveloka is a leading technology company that provides a one-stop travel and lifestyle platform for customers in Southeast Asia. Our platform offers a wide range of travel-related services, including flight and hotel bookings, activities, attractions, and more. With a mission to empower travelers with seamless experiences, we're committed to pushing the boundaries of technology and innovation in the travel industry.

It's fun to work in a company where people truly BELIEVE in what they're doing!

About the Role:

As a Data Manager, you will spearhead the data group dedicated to supporting the commercial teams for our Travel business. Your expertise will drive strategic insights, enhance data-driven decision-making, and optimize commercial performance. This role requires a blend of technical prowess, leadership, and a deep understanding of supply commercial optimization.

Responsibilities:

• Led a team of data analysts and engineers, ensuring they have the data repository, tools, resources, and training to deliver high-quality data analysis and reporting.
• Partner with commercial stakeholders (market managers, ) to understand their business needs and translate them into actionable data requests.
• Develop and implement a data strategy for the commercial team that is aligned with the overall company objectives.
• Design, build, and maintain data pipelines and dashboards to track key performance indicators (KPIs) and measure the effectiveness of commercial campaigns and treatments
• Conduct in-depth data analysis to identify trends, opportunities, and areas for improvement in hotel and flight acquisition, conversion, and revenue.
• Communicate complex data insights in a clear, concise, and actionable way to both technical and non-technical audiences
• Stay up-to-date on the latest data science trends and technologies and implement them to improve data analysis capabilities.
• Foster a collaborative and data-driven culture within the commercial team.

Requirements (Education, Technical Skills, Relevant Experiences)

• Minimum 7+ years of experience in a data leadership role, preferably within the travel or supply chain industry.
• Proven experience in managing and mentoring data analysts.
• Strong understanding of data analysis methodologies, including SQL, statistics, and machine learning (a plus).
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Experience working with data pipelines and cloud platforms (e.g., GCP) (a plus).
• Excellent communication and presentation skills, with the ability to translate complex data insights into clear and actionable recommendations for non-technical audiences.
• Strong leadership skills, with the ability to motivate and inspire a team.
• Strategic thinking and problem-solving skills.
• A passion for the travel industry and a deep understanding of online travel agent (OTA) business models (a plus).

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

JD:

Model Development and Analysis:

· Dive into real-world data to design and develop machine learning models for credit scoring, risk assessment, fraud detection, and more

· Support the calibration of model parameters and the optimisation of business logic

· Ensure models provide meaningful, actionable insights that help drive key business decisions

Data Exploration and Insights:

· Analyse datasets to identify trends, patterns and opportunities for improving existing models, scorecards, and processes

· Collaborate with the team to create automated reports and dashboards that track how models are performing and provide valuable insights to stakeholders

Model Infrastructure and Automation:

· Maintain and improve the infrastructure supporting the development, deployment, and production lifecycle of machine learning models

· Participate in automating workflows for tasks like model training, validation, and monitoring

Requirements

· 1-3 years of experience in data science or related fields.

· Proven experience as a model developer in machine learning and statistical analysis projects

· Familiarity with programming languages like Python and SQL

· Interest and experience in fintech and credit modelling is a bonus

Others:

· Strong analytical mindset with attention to detail and a problem-solving attitude

· Eager to collaborate and grow in a team that values proactivity, creativity, and continuous learning

Great communication skills, both for discussing technical solutions and presenting insights to non-technical stakeholders

Key Responsibilities:

Team Leadership:

1. Oversee and manage a team of field service technicians, ensuring they are well-trained, motivated, and equipped to deliver high-quality service.
2. Provide guidance, support, and mentorship to team members.
3. Assign tasks and monitor progress to ensure deadlines are met.
4. Evaluate team performance and provide feedback。

Technical Leadership and Training:

1. Develop and deliver technical training programs for junior engineers and ongoing professional development for existing engineers.
2. Stay up-to-date with industry trends and technological advancements, including servers from Inspur, Dell, HP, Lenovo, etc.
3. Assist in the development and implementation of technical standards and procedures.

Operations Management:

1. Coordinate field service activities, including scheduling, dispatching, and resource allocation.
2. Monitor and track key performance indicators (KPIs) to measure team efficiency and effectiveness.
3. Identify and implement process improvements to optimize field service operations.
4. Manage inventory of parts and equipment. oEnsure compliance with safety regulations and company policies.

Customer Relationship Management:

1. Build and maintain positive relationships with customers.
2. Address customer concerns and resolve issues promptly.
3. Ensure customer satisfaction through excellent service delivery.

Backup and Support:

1. Provide coverage for team members in case of emergencies or urgent leave.
2. Handle complex and challenging technical issues that require advanced troubleshooting.

Technical Proficiency:

1. Demonstrate proficiency in Linux-based commands and scripting.
2. Collaborate with project managers on deployment projects, providing technical expertise and support.

Model Development and Deployment:

· Design, build, and deploy machine learning models for credit scoring, risk assessment, fraud detection, and customer segmentation.

· Calibrate model parameters and optimise existing business logic and parameters

· Ensure models are robust, interpretable, and provide actionable insights.

Data Analysis and Insights:

· Conduct thorough data analysis to identify trends, patterns, and opportunities to enhance existing scorecards and processes.

· Develop and maintain dashboards and reports to track model key performance metrics and provide actionable insights to stakeholders.

Model Infrastructure and MLOps:

· Develop and maintain model infrastructure to support the lifecycle of machine learning models from development to production.

· Automate workflows for model training, validation, deployment, testing and monitoring to ensure efficiency and reliability.

Mentorship and Leadership:

· Mentor and provide guidance to junior data scientists and analysts in the team.

· Lead data science projects from inception to completion, ensuring timely delivery and alignment with business goals.

Requirements:

· 5+ years of experience in data science, preferably within the fintech or financial services industry.

· Proven experience in developing and deploying machine learning models in a production environment.

· Strong background in statistical analysis and machine learning.

· Expert in credit modelling and risk management would be an added advantage

• Processing vendor/visitor DC security clearance.
• Escort vendor/visitor into DC.
• Escalation and attending to alert notification (after office hours).
• Support monthly, quarterly, yearly maintenance and Building management maintenance, E.g. power shutdown, aircon, UPS.
• Support and coordinate for hardware disposal, E.g. Harddisk, media, backup tapes.
• Load/Unload backup tapes and prepare to send off-site.
• Maintain and update hardware inventory and rack system.
• Conduct daily checks to ensure DC temperature at acceptable level, unusual blinking light and sound generated from devices.
• Raise incident in ITSM and monitor till closure.
• Prepare daily/monthly report to customer.

Mandatory Skill: Enterprise Monitoring

Work Location: Sin Ming

Shift Work: Yes, 12 Hours shift (8.00AM to 8.00PM or 8.00PM to 8.00AM)

Rotating shift – work 2 days and 2 days off

Responsibilities

. Report to Academic Head (Higher Education)

· Prepare and develop teaching and learning materials according to module descriptor

· Develop lesson plan and create assessment brief

· Complete marking of all assessment papers and to moderate academic results

· Conduct lesson to be delivered face-to-face

· Adopt the use of Information Technology tools to enhance learning by students

· Regular feedback to Academic Head regarding students’ academic performance and behaviour

Requirements:

· Possess Master’s or Doctorate Degrees in IT, Computing, Data Science and AI

· With at least 5 years of relevant working or teaching experience in data science field

· Possess strong interpersonal and communications skills, passionate in sharing knowledge and interacting with students

· Strong sense of professionalism and commitment in completing assigned tasks efficiently and in a timely manner

Overview

If you wish to work for an up-and-coming deeptech company, this could be your opportunity.

AgileAlgo stands for Agility-in-Algorithm. We seek to address the problem of insufficient data scientists and engineers to support AI work for small to mid size companies. We will harness deeptech in the space of Software Engineering.

We focus on Graph Neural Networks, a deeper form of Machine Learning, to develop our platform. We have created a natural language AI code generator that support self-serve AI to end customers. This allows our business to scale through the self-serve approach. Our platform is like a Jira + Github for AI Codes. It is fully integrated from written requirements to codes, generativeAI style. We envision to use AI to create AI, System to create System, to significantly improve the way software is being developed.

We are seeking internship candidates to join a like-minded highly talented team to create and operate the world 1st Virtual System Implementer Platform.

What we expect from you

For this role, the intern must be highly skilled in Python

• You will pick up Knowledge Graph Data Science
• It is advantageous to have understanding of other AI techniques including BigData Analytics, LLM and Computer Vision etc.
• You will assist to create and extend the company’s platform and AI engines
• You would have utilized established development tools, guidelines and conventions for your projects
• Your coding always produced clean and testable outcomes and are well documented
• You must be a quick learner to investigate and develop skills in new technologies

Your education and personal skills

• Studying for a Bachelor’s Degree in Mathematics or a related field
• Effective communication with non-technical audiences

Why now?

• The time is ripe to disrupt the software engineering space. AI can help revolutionise this. We will lead the way.
• We will be a listed company very soon.

COMPANY DESCRIPTION

Mediacorp is Singapore's largest content creator and national media network, operating a suite of TV channels, radio stations, and multiple digital platforms. Its mission is to engage, entertain, and enrich audiences by harnessing the power of creativity.

We are committed to creating an inclusive and diverse workplace where talent thrives. Our hiring decisions are made based on merit and fit-to-role. If you have a disability or special need which requires accommodation to participate in the recruitment process, please inform us when you submit your online application. We will be happy to support as necessary.

Thank you for your interest and application to this role. Please note that only short-listed candidates will be contacted.

RESPONSIBILITIES

• Lead and grow the data science practice in Mediacorp, including guiding and mentoring a team of data scientists
• Analyse and translate large amounts of data into meaningful, actionable insights for commercial purposes by applying various machine-learning and deep learning techniques
• Lead, design and implement quantitative analytical models, including forecasting and predictive models, identity graphs, recommendations and various performance optimization initiatives to enhance business outcomes
• Establish internal benchmarks and best practices in data science approaches
• Support product development effort including understanding business needs, documenting data and data integration requirements, and resolving conflicting business/data architecture rules.
• Become an internal authority on Mediacorp's data tools and data science output
• Support ad-hoc data science strategic initiatives

• PhD or MS degree in Statistics, Mathematics, Machine Learning, Operations Research, Computer Science or related field
• Minimum 10 years hands-on experience in machine learning or advanced analytics, including designing, developing and deploying data science models
• Relevant team management experience will be essential
• Strong technical capabilities. Proven expertise in developing and implementing a full range of analytical techniques to address commercial challenges
• Proficiency in at least one statistical analysis tool
• Proficiency in at least one programming language (preferably Java, C++, Python)
• Critical thinking and problem-solving skills are essential for this role
• Strong written and spoken communication skills
• Able to present findings to internal and external business stakeholders confidently
• Basic knowledge of data engineering principles and architecture

Job Description

• Work with stakeholders including customers, partners and colleagues on data-related technical issues and support their data infrastructure needs
• Work closely with data scientists to solicit data requirements to support modeling works
• Design, develop, document, manage and maintain data models, ETL processes, data warehouse, data management and pipeline solutions for large volume of structured/unstructured data from disparate sources and with different latencies (e.g. on-demand, batch, real-time, near-real-time)
• Define, monitor and report SLAs for data pipelines and data products
• Understand data security and governance standards or requirements to implement solutions that ensure adherence to these standards or meet such requirements
• Drive/execute data quality assurance practices
• Support data management solutions pre-sales initiatives, proposal development and provide post-sales support.

Technical Knowledge/Skills/Competencies

• Technical expertise in:
  • Relational/non-relational/NoSQL database and enterprise data warehouse/mart;
  • Big data technologies e.g. Hadoop, Spark, Hive, HBase etc.
  • Data ingestion technologies e.g. Flume, Kafka, NiFi etc. and
  • Scripting, programming and software development using e.g. Java, C/C++, Python, R, MATLAB, Scala, SQL etc. for Windows or Linux environments.
• Experience in master data management, data governance, data lifecycle management etc
• Experience in designing, documenting, implementing and supporting data management solutions
• Experience in using software engineering best practices in development, programming, testing, version control etc.
• Knowledge of data privacy and security assurance
• Knowledge of machine learning, computer vision and large languagemodels will be advantageous.

Soft Skills

• Excellent written and verbal communications skills
• Highly organised, motivated, independent and resourceful team player
• Strong analytical thinking, interpersonal and problem-solving skills and
• Able to work productively in a matrix reporting and fast-paced environment

Only shortlisted candidates will be notified.

Please email a copy of your detailed resume to [email protected] for immediate processing.

(EA Reg No: 20C0312)

• Position : Admin Assistant (Customer Service/Data Entry)
• Location : Tuas - daily company transport to/from Boon Lay and Jurong East MRT
• Working hours : Monday - Friday 9.00am to 6:00pm
• Salary (commensurate with experience) : Up to $3200 + AWS + 14 Days Annual Leave + Variable Bonus + Mobile allowance
• Duration : Permanent
• Industry :Concrete Precast

Main Responsibilities:

• Work as part of admin team to ensure customers the best possible experience on all fronts of the company.
• Check all POs and DOs from internal and external parties to ensure items, quantity, and amount are correct.
• Data entry of information
• Filing, checking and verify documents.
• Office admin including handling phone calls.
• Additional administrative duties when assigned.

Requirements:

• Proficient in software applications, particularly Microsoft Office
• Good communication skills.
• 1-2 years relevant experience preferred.
• well-organized, meticulous and able to work in a fast-paced environment
• Bilingual in English and Mandarin to liaise with Chinese clients who can converse in Mandarin only.

Email to [email protected]

Do visit Search Personnel Pte Ltd for more job listings.

***We DO NOT charge our candidates any referral fee nor bind them with any contract.***

Joie Chang

Deputy Consulting Director (APAC)

Reg no.: R2090601 | EA No: 13C6684

Thank you for your interest in this position. Our shortlisting period is 3 working days. Only shortlisted candidates will be contacted for further consideration.

If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend that you continue your job search to maximize your opportunities. We wish you all the best and should we have any suitable roles that match your experiences/ qualifications/ preferences, we will reach out to you.

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++

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

The Lee Kuan Yew School of Public Policy is a leading public policy school in Asia, part of the National University of Singapore. Its mission is to improve governance in Asia, and improve lives for a sustainable world. Its faculty consists of accomplished scholars, educators, and experienced policy practitioners. The school offers several Master's degree programmes, a small PhD programme, as well as executive education programmes for policymakers in Asia and beyond.

The School and the University place strong emphasis on teaching and learning. To serve the educational mission of the School and the University, the Educator Track has been designed to bring together and support the career pathway of outstanding educators. Faculty on the Educator Track will be expected to teach as well contribute to the broader educational mission of the School. At more senior levels, they are expected to lead on pedagogical innovations and in teaching and learning matters. A research background in a primary disciplinary domain is valued. Scholarly research on pedagogy and teaching is a bonus, but not mandated. Although the NUS Educator Track is not a tenurable line, it has a route towards an Associate Professorship on an open contract, along with the possibility of funding for overseas conference travel.

The LKY School invites applications for the following full-time positions on the Educator Track:

• Lecturer/Senior Lecturer in Public Finance & Budgeting (disciplinary field – Economics or Public Administration)
• Lecturer/Senior Lecturer in Data Analytics or Advanced Methods/Tools, with an ability to teach R and Python preferred (disciplinary field – Public Administration, Public Management, or Public Policy)

Applicants for Senior Lecturer positions must possess a PhD degree as well as at least five years teaching experience and demonstrated impact in higher education settings. Candidates for Lecturer positions should have a PhD degree, and prior teaching experience in higher education settings would be advantageous.

The appointments of Senior Lecturer and Lecturer will be for an initial period of 3-5 years and 2-3 years, respectively, ideally beginning January 2025, with the possibility of contract renewal based on performance and the school’s teaching requirements.

Application

To apply, please provide a detailed resume and a cover letter describing your background and preparation for the position, your teaching interests, and your potential contributions to the school.

Interested candidates are encouraged to find out more about the National University of Singapore and the LKY School at www.lkyspp.nus.edu.sg.

Required Documents

• Detailed curriculum vitae, including details of education, employment history, past experience of teaching and supervision, research activities (including publications) and achievements, honours and awards, and service accomplishments.
• Cover letter.
• Teaching statement.
• A teaching portfolio with sample classroom exercises and recent student or peer teaching evaluations.
• Three letters of reference.

Only shortlisted candidates will be notified.

Job Summary

• To support customer / business name data clean-up

Key Accountabilities

• Completion of data cleaning by assigned deadline.

Key Job Requirements

• Understand and work with Excel.

• Able to work with large data files.

• Good attention to detail

TELE me at @jacechooo or WA me at https://wa.me/+6582976283 NOW!

Interested candidates please submit your resume to [email protected]

Jace Choo Oi Kei

Personnel EA License No.: R1875164

Recruit Express Pte Ltd (EA Licence No.: 99C4599)

Hall of Goods Pte Ltd is a distributor and reseller of lifestyle brands from around the world. While our company is based in Singapore, our brands are distributed and sold in many parts of Asia. We pride ourselves in being a true partner to the brand owners because we believe that it is equally as important to grow the equity of the brands we carry as it is to increase penetration and sales of their products in Asia.

Hall of Goods Pte Ltd invests in grooming our people as well as building strong partnerships with our suppliers and agencies. In that way, we create an eco-system that enables us to grow more effectively and efficiently.

While our structure is lean, we constantly look for talent that has the same values and principles as we do but can add new perspective at the same time. The values at Hall of Goods are simple.

1. Don’t be afraid to learn new things

2. Make sure everything you is done because you believe it has real value to the consumer and to the business

Roles & Responsibilities

Data entry and administrative assistant role

Responsibilities include consolidating and entering data from sales statements and providing administrative support to ensure efficient operations in the Company.

Job Responsibilities:

· Answer all enquiries via social media, phone call

· Entering of data entry, preparation and generating of invoices

· Assist with Management on any ad-hoc duties

. Flexible Working hours: 9am to 5pm. Minimum 3 working days a week. Working days can be discussed further

Job Requirement:

1. Minimum GCE ‘O’ Levels with working experience

2. Experience in data entry would be an advantage

3. Proficient in Microsoft Office

4. Good interpersonal and communication skills

5. Diligent, organised, self-driven, resourceful and fast learner

Job Descriptions of Accounts and Administrative Clerk

· To assist in data entry

· To assist in procurement

· To assist in Human Resources tasks when instructed to;

· Other accounts and administrative related works as instructed;

· Maintains an organized workplace;

· To work as part of a team;

· Administrative tasks such as photocopying, scanning, answering of phone calls, filling & documentation, etc.;

· To ensure you maintain a clean and safe workplace;

· To undertake any other such tasks as may be assigned from time to time by your immediate supervisor

About the company:

Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. With integrated solutions across four key domains – telecom networks, IT, smart devices, and cloud services – we are committed to bringing digital to every person, home and organization for a fully connected, intelligent world.

Responsibilities:

· Based on the corporate strategy, regional and industry business objectives, gain insight into business opportunities, and develop and execute key customer development strategies.

· Deeply understand, communicate, and clarify the target customers of data center, explore key opportunities in the data center field, and guide and promote the key market targets.

· Collaborate with all parties to plan, design, deliver, and accept customers' and partners' data center solutions. Through end-to-end project operation and customer relationship management, take responsibility for data center integration project operation, revenue target achievement, and customer satisfaction.

· Build organizational relationships with customers and continuously expand new customers and partners.

Requirements:

· Bachelor degree or above, majored in mechanical/electrical engineering, etc.

· Good command in English & Mandarin.

· Proficiently use office software such as Word, Excel, and PowerPoint.

· Good communication, presentation and collaboration skills.

· At least 3 years of dedicated data center infrastructure solution sales/service or design experience.

· Requirement understanding and solution design: Be able to understand customers' business, and strategic requirements, influence customers' plans and budgets, and design solutions based on customer requirements, and comprehensively consider competition, profitability, and deliverability. Be able to guide customers in overall data center power & cooling solutions.

· Customer communication and guidance: Be able to influence customer decision-making supporters/decision makers, effectively transfer product and solution values, establish a good trust relationship with customers, and influence customer decision-making.

· Project operation capability: Be able to promote lead generation in projects, effectively convert to opportunities, develop solution strategies, implement solutions, and achieve project success.

· Transaction management capability: Be able to develop effective commercial strategies, manage base prices, and achieve project profitability targets.

Why join us?

At Huawei, we are committed to fostering a vibrant, inclusive, and innovative environment where our employees can thrive. We believe that our employees are our greatest asset, here’s what you can expect when you join our team:

· Competitive compensation package

· Comprehensive medical and dental coverage

· Transportation reimbursement and mobile allowance

· Fun employee engagement and team-building activities

Role Overview:

We are seeking a highly motivated and analytical individual to join our team as a Quantitative Developer Intern. This internship provides a unique opportunity to gain hands-on experience in the fast-paced world of trading. The ideal candidate will be eager to learn, quick to adapt, and passionate about financial markets.

Key Responsibilities:

- Participate in the live trading project development, develop and deploy new features.

- Assist in the design, development, and maintenance of ETL (Extract, Transform, Load) processes to load data from various sources into SQL databases.

- Collaborate with senior developers to develop, test, and deploy internal tools and applications.

- Work with Linux servers to automate routine tasks like report sending.

Requirements

- Currently pursuing a Bachelor's or Master's degree in Finance, Economics, Mathematics, Computer Science, or a related field.

- Strong understanding of Object Oriented Programming, especially Python and C#.

- Familiarity with SQL and NoSQL database.

- Basic knowledge of Linux/Unix operating systems and shell scripting.

- Understanding in financial markets.

- Strong problem-solving skills and attention to detail.

Preferred Qualifications:

- Familiarity with tools like Git, Jira, and etc.

- Knowledge and experience in DevOps tools like docker and k8s.

- Understanding of modern Front end tools (React, Vue, etc.) is a plus.

What We Offer:

- Mentorship from senior develops and financial professionals.

- Hands-on experience with quant trading projects.

- Exposure to a wide range of asset classes and trading strategies.

- Potential for full-time employment upon successful completion of the internship.

- A dynamic and collaborative work environment.

• Good Bonus - AWS + Up to 6 month Variable Bonus / Permanent Role

Engineer / Electrical engineer / Project Engineer / Junior & Senior & Engineering can apply
• Entry level / Junior / Senior / No experience welcome apply X 3 Opening
• Full training provided

Responsibilities:

• Manage the Supervisory control and data acquisition (SCADA) system and distribution management systems applications;
• Involved in enhancement of the software functionality and troubleshooting to maintain system reliability and performance;
• Maintain accurate records of maintenance activities, enhancements and fixes;
• Collaborate and communicate with both internal and external customers to ensure smooth execution of projects and provide timely updates on project status;
• Assist client for Annual Vulnerability Assessment and Penetration (VAPT) activity and follow up on the findings;
• Follow up with product supplier and vendors, test and install the system patching when necessary;
• Other ad-hoc duties as assigned.

Requirements:

• Diploma/Degree in Electrical/Electronics/Computer/Software Engineering from a recognized Polytechnic/University;
• Knowledge in programming languages such as C, C++ and Java;
• Salary for experience candidates will be considered based on the years of experience and our internal salary structure
  1 month AWS
  Variable Bonus up to 6 Month depending on individual and company performance
• Working hours: 8.00 am to 5.00 pm / 8.30 to 5.30 pm / 9.00 am to 6.00 pm / 9.30 am to 6.30pm / 10.00am to 7.00pm
• Working days: Monday to Friday (1 day work from home per week)
• Annual Leave: 14 days up to 17 days for non-executive (Assistant Engineer and below)
• 18 days up to 21 days for executive (Engineer and above)
• Medical benefits of $500 per financial year (Benefit is extended to spouse and children (below 21 years old) of married employees)
• Insurance coverage: Hospital & Surgical (Benefit is extended to spouse and children (below 25 years old) of married male employees and child (below 25 years old) of married female employees)
• Term Life
• Personal Accident
• Maternity Insurance for female employee and spouse of male employee on the birth of their 1st 2 children claimable up to delivery bill of $6,000.00 whichever is lower.
• Flex Dollars of $500 per financial year
• Free annual year-end Health Check-Up
• Monthly Birthday Party Celebration
• Monthly Sports Activities
• New Born Gift
• CSR Initiatives
• Department Bonding Activities
• Biennial team building and staff appreciation dinner
• Gym Corner for employees to exercise
• Interested candidates please send an updated Resume / CV in Ms Word format to [email protected] or WhatsApp’s your resume to 98332779 ( no Calls)
  Consultant in-charge : Quah Li Lian (Lilian) ( Registration No: R1983286 )

Location: East

Mon to Fri 9am to 6pm

Salary: $2500 to $3300 depends on experience

Work life balance-Go back home on time

Training provided

Job Description

• Supporting role for Sales team.
• Processing purchase orders and expediting delivery schedules
• Interact, engage and/or respond directly to customers’ needs & requirements.
• Occasionally required to visit valued customers along with our sales persons to co-address critical business related issues such as ordering management, forecasting, pricing and so forth.

Requirements

• Able to communicate in both Mandarin and English fluently to liaise with customers
• Cheerful personality
• Able to start work immediately
• Fresh/Entry level welcome as training provided

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

• Good Bonus - AWS + up to 6 month Variable Bonus / Permanent Role

Engineer / Electrical engineer / Project Engineer / Junior & Senior & Engineering can apply

• Entry level / Junior / Senior / No experience welcome apply X 3 Opening

• Full training provided

Responsibilities:

· Planning, coordination, and execution of substation automation projects.

· Design, costing and integration of substation automation systems according to project requirements.

· Installation, testing and troubleshooting of substation automation systems at site.

· Preparation of project documents and drawings.

Requirements:

· Diploma in Electrical Engineering/Computer Engineering

· Knowledge of data communication and Automation Systems for Electrical Network

Our benefits and compensation for permanent position are as follows:

Salary for experience candidates will be considered based on the years of experience and our internal salary structure

1 month AWS

Variable Bonus ranging from 1 to 6 months depending on individual and company performance

Working hours: 8.00 am to 5.00 pm / 8.30 to 5.30 pm / 9.00 am to 6.00 pm / 9.30 am to 6.30pm / 10.00am to 7.00pm

Working days: Monday to Friday (1 day work from home per week)

Annual Leave: 14 days up to 17 days for non-executive (Assistant Engineer and below)

18 days up to 21 days for executive (Engineer and above)

Medical benefits of $500 per financial year (Benefit is extended to spouse and children (below 21 years old) of married employees)

Insurance coverage: Hospital & Surgical (Benefit is extended to spouse and children (below 25 years old) of married male employees and child (below 25 years old) of married female employees)

Term Life

Personal Accident

Maternity Insurance for female employee and spouse of male employee on the birth of their 1st 2 children claimable up to delivery bill of $6,000.00 whichever is lower.

Flex Dollars of $500 per financial year

Free annual year-end Health Check-Up

Monthly Birthday Party Celebration

Monthly Sports Activities

New Born Gift

CSR Initiatives

Department Bonding Activities

Biennial team building and staff appreciation dinner

Gym Corner for employees to exercise

Good Pay + Good allowance + Good Bonus

Interested candidates please send an updated Resume / CV in Ms Word format to [email protected] or WhatsApp’s your resume to 98332779 ( no Calls)

Consultant in-charge : Quah Li Lian (Lilian) ( Registration No: R1983286 )

• Good Bonus - AWS + up to 6 month Variable Bonus / Permanent Role

Engineer / Electrical engineer / Project Engineer / Junior & Senior & Engineering can apply
• Entry level / Junior / Senior / No experience welcome apply X 3 Opening
• Full training provided

Responsibilities:

§ Project execution and implementation activities for energy monitoring systems projects.

§ Co-ordinate site staff and plan site activities for ongoing and maintenance projects.

§ Record and maintain proper project documentation record

Requirements:

§ Diploma/Degree in Electrical/ Electronics/ Computer Engineering / Computer Science from a recognised Polytechnic/University

§ Preferably with experience in Energy Monitoring System

§ Our benefits and compensation for permanent position are as follows:

§

§ Salary for experience candidates will be considered based on the years of experience and our internal salary structure

§

§ 1 month AWS

§ Variable Bonus ranging from 1 to 6 months depending on individual and company performance

§ Working hours: 8.00 am to 5.00 pm / 8.30 to 5.30 pm / 9.00 am to 6.00 pm / 9.30 am to 6.30pm / 10.00am to 7.00pm

§ Working days: Monday to Friday (1 day work from home per week)

§ Annual Leave: 14 days up to 17 days for non-executive (Assistant Engineer and below)

§ 18 days up to 21 days for executive (Engineer and above)

§ Medical benefits of $500 per financial year (Benefit is extended to spouse and children (below 21 years old) of married employees)

§ Insurance coverage: Hospital & Surgical (Benefit is extended to spouse and children (below 25 years old) of married male employees and child (below 25 years old) of married female employees)

§ Term Life

§ Personal Accident

§ Maternity Insurance for female employee and spouse of male employee on the birth of their 1st 2 children claimable up to delivery bill of $6,000.00 whichever is lower.

§ Flex Dollars of $500 per financial year

§ Free annual year-end Health Check-Up

§ Monthly Birthday Party Celebration

§ Monthly Sports Activities

§ New Born Gift

§ CSR Initiatives

§ Department Bonding Activities

§ Biennial team building and staff appreciation dinner

§ Gym Corner for employees to exercise

§

§ Good Pay + Good allowance + Good Bonus

§ Interested candidates please send an updated Resume / CV in Ms Word format to [email protected] or WhatsApp’s your resume to 98332779 ( no Calls)

§ Consultant in-charge : Quah Li Lian (Lilian) ( Registration No: R1983286 )

Job Responsibilities:

• Participate in designing solutions that meet functional requirements
• Implement end-to-end specifications for solution components
• Generate relevant documents and reports
• Perform testing and implementation of solutions
• Participate in UX activities such as creating wireframes/storyboards, conducting user research/interviews and developing user stories, storyboards
• Contribute to the SDLC in the areas of coding tools, languages, and software designs

Job Requirements:

• Min diploma/degree in Computer Science or any IT related field
• Familiarity in any of the programming languages: Java, Javascript, Python, C++, C# etc
• Proficient in Web Technologies like HTML, CSS
• Excellent working attitude and a strong team player

(EA Reg No: 20C0312)

Only shortlisted candidates will be notified.

Please email a copy of your detailed resume to [email protected] for immediate processing.