Total 13,849 tech support job vacancies in Singapore

Job Descriptions:

- Oversee the escalation and resolution of complex technical issues, ensuring that all incidents are handled promptly

- Create and maintain job schedules, job tracking, client communications, team communications, web reports, and other documents

- Solves critical issues of the system and understanding the problems with the software systems

- Work closely with the development team to report bugs, request patches, and follow up on issue resolution

- Ensure timely and effective resolution of technical incidents in line with service level agreements (SLAs) and customer expectations

- Provide root cause analysis techniques to determine cause and resolve complex system issues

- Work with the development and IT teams to report bugs, request patches, and follow up on issue resolution

- Conduct application testing, support client application testing; collect and summarize test result

- Assist with product rollouts, system upgrades, and other initiatives

- Lead the improvement of service and change processes, procedures, and outcomes, in alignment to ITIL practices

- Proactive management of production services by measuring and monitoring availability, latency, throughput, user journeys and overall system health

- Continuously review and improve application support processes and workflows to enhance operational efficiency

- Maintain a knowledge base of know defects, issues, process, techniques

- Manage client expectations on an ongoing basis

Requirements:

- Diploma / Bachelor’s Degree in Computer Science, Engineering, or a related field

- Minimum 3 years of relevant experience in application/ technical support

- Knowledge of ITIL or similar service management frameworks is preferred

- Strong knowledge of technical troubleshooting, including hardware, software, networking, and operating systems

- Strong analytical and problem-solving skills, with the ability to troubleshoot complex technical issues

- Must be comfortable working in a 24/7 support environment, including rotating shifts, nights, weekends, and public holidays

Job Scope:

• To provide teaching and learning support to teachers such as preparation of resources / materials for Science laboratory activities, enrichment programmes and competitions, etc;
• To assist to source and purchase materials for laboratory activities, practical tests and enrichment programme and to aid science teachers with the clearing up after laboratory lessons and when required;
• To assist to prepare forms and expenditures claims and keep copies of invoices and receipts;
• To label and keep records of existing and new Science teaching and learning materials and laboratory apparatus such as teachers’ desk copies, reference books, DVDs, lab apparatus and chemicals, etc;
• To maintain loan records of Science Resources;
• To pack and organize the resources in the Science Rooms. Ensure that the Science rooms are clean and conducive for lessons;
• To ensure laboratory equipment, materials and specimens are in good working conditions. Conduct stock-take at least twice a year.
• Assist to update the stock record and breakage record to initiate ordering of replacements, when necessary;
• To ensure proper disposal of waste materials such as sharp waste objects and chemicals;
• To ensure safety of students in the Science rooms. Record and report any incidents to Science HOD / LH. Maintain a laboratory incident log book;
• To check that safety devices in the laboratory, such as emergency eye-washers, showers and fire extinguishers are working;
• To perform any duties assigned by the Science HOD / Level Representative.

Requirements:

• ‘N’ Level;
• Should have good interpersonal skills, pleasant disposition and be meticulous and a team player;
• Should be able to multi-task and meet deadlines;
• Proficient in Microsoft Office software applications. Must be able to learn new IT skills;
• Preferably with similar experience working in primary school environment.

Salary: $1700 - $1800/month

Contract Period: 1 Jan 2025 to 31 Dec 2025

Working Arrangement:

Mondays to Fridays: 7:30am to 3.30pm

Service not required on Saturdays, Sundays and gazetted public holidays

EA License No: 96C4864

Reg. No.: R24121728

Deliver expert support and comprehensive administration of the Microsoft 365 cloud environment, ensuring a secure and reliable infrastructure.

Key Responsibilities:

• Independently research, design, implement, and manage Microsoft 365 solutions for the organization.
• Oversee the Microsoft 365 environment, maintaining optimal availability, reliability, and performance.
• Continuously monitor system health; review, analyze, and test system performance.
• Conduct annual refresh for hardware, including endpoint devices and network equipment.
• Provide regular updates, perform backups, and restore data as needed.
• Work with internal teams to enhance functionality and improve user experience.
• Facilitate onboarding and offboarding processes for new hires and leavers.
• Document system configurations, processes, and create IT user guides.
• Deliver high-level support, working with internal teams and external vendors to resolve both onsite and offsite issues (including vessel support).
• Travel internationally to support vessel IT systems when vendors are unable to resolve issues remotely.
• Serve as the IT procurement officer, managing vendor relationships with excellent vendor management skills.
• Track and manage billing and subscriptions for SaaS applications and Microsoft 365.
• Maintain an inventory of IT hardware and software assets.
• Perform daily, monthly, and annual IT operational checks.

Requirements:

• Minimum 1 year of experience managing and administering Microsoft 365 environments.
• Over 2 years of experience as L1 support in a mid- to large-sized enterprise.
• Strong skills in customer service, communication, and problem-solving.
• Able to work independently as well as collaboratively in a team.
• Familiarity with networking and firewall configurations is a plus, though not mandatory.

About the role

• Provide level 2 network support and troubleshooting for the region

• Support (LAN/WAN/WIFI), Routers,Firewalls, Web Access Security Gateways, servers, security controls
• Work on projects regarding SD-WAN and HPE Aruba devices
• Administer security tools like Firewalls, zScaler Internet Access, HPE Aruba Clearpass, NAC and VPN connections
• Maintain and operate network equipment in server rooms

Skills and experience required

• Degree in Computer Science or equivalent
• At least 3 years of experience in a relevant role
• Skilled in Windows and Linux, Cisco routers, LAN, WAN, SD-WAN, Wireless, Switches, VPN, DNS, DHCP
  
  To apply online please use the apply function, alternatively you may contact Chloe Chen at chloe.chen(@)randstad.com.sg. (EA: 94C3609 /R1768253)

Job Scope:

• To provide support in general upkeep of equipment and workplace;
• To provide logistical support for school events and functions including arranging of furniture and equipment;
• To perform gate duties and traffic control to ensure safety of students moving in and out of the school premises.

Requirements:

• Completed primary school education and preferably have some experience in general upkeeping of equipment/workplace, logistic or general operations support;
• Able to provide logistical support including arranging of furniture and equipment;
• Able to take instructions and duties assign by supervisor.

Contract Period: From 1 Jan 2025 to 31 Dec 2025

Salary: $1740 to $1910 / month

Working Arrangement:

Mondays to Fridays: 6:30am to 4:00pm

Service not required on Saturdays, Sundays and gazetted public holidays

EA License No: 96C4864

Reg. No.: R24121728

Overview:

The Operations Support Officer provides vital assistance in maintaining school facilities, supporting events, and ensuring the safety of students and staff. This role involves a range of tasks, including the upkeep of equipment, logistical support for school functions, and managing traffic and gate duties.

General Responsibilities:

• Provide support in general upkeeping of equipment and workplace.
• Provide logistical support for school events, functions, which includes arranging of furniture and equipment.
• Perform gate ushering duties and implement traffic control measures in ensuring safety of students.
• To carry out other assigned duties from time to time.

Requirements:

• Physically fit to assist in logistical support
• Able to converse in basic English to liaise with contractors and staff.

Job Requirements:

• Provide daily onsite IT support on hardware, networks and software to ensure timely resolution of customer issues.
• Configuration of equipment to connect to corporate network and domain.
• Ensure tasks performed are updated via ticketing system or team lead.
• Follow and enforce IT, Security and acceptable use parties.
• Provide training to users regarding the use of system and applications when needed.
• Assist to maintain and keep track of IT assets for assigning to user and disposals.
• Liaise with vendors on repair and maintenance of IT related equipment.
• Deliver Windows deployment and migration projects.

Requirements:

• Min 2 years of relevant IT Support experience supporting a large customer base.
• Good knowledge of Windows OS and basic knowledge of systems and servers.
• Experience in managing computer hardware such as laptops, PC, etc.
• Proactive and meticulous attention to details.

We are an organisation that focuses on customer acquisition and retention. Due to the complexity of our industry, you are expected to have great interpersonal skills to attract and retain valuable clients.

You are expected to be independent and WORK FROM HOME most of the time.

Your personal time organisation is of utmost importance.

You job scope includes:

- maintaining good records of existing and incoming clients

- making outbound calls to update existing clients and attract potential new prospects.

- maintain a good image and portray professional stance when required.

A pleasant personality is a huge plus.

Candidates without experience are expected to learn fast and adapt quickly.

• Working location: 11 Changi South Street 1
• Working days: 5 days
• Working hours: Mon-Thu 8:30am - 6:30pm; Fri 8:30am – 5:30pm

Job Requirements:

• Strong understanding of stone slab layouts, vein matching, and joint detailing, with knowledge of vein matching, book-matching, and end-matching techniques to create cohesive, visually appealing layouts
• Ability to assess stone quality, identify color variations and veining patterns, and use these characteristics to enhance design aesthetics.
• Skilled in interpreting client needs and translating them into accurate, tailoredsimulations that meet aesthetic and functional expectations.
• Knowledge of slab orientation, grain alignment, and joint placement to createinstallation-ready designs that optimize visual flow and minimize material waste.
• Ability to identify potential design conflicts early in the drafting process and offerpractical, creative solutions.
• Strong quality control mindset to ensure that simulations meet both aesthetic and structural requirements, maintaining high standards of accuracy.
• Keen eye for detail, ensuring that simulations provide realistic depictions of stone color, grain, and finish, giving clients a clear and accurate preview of the finished

For consideration, kindly submit your CV by clicking “APPLY Now”
**Only shortlisted candidate would be notified**
EA Reg. No: R22090617 | Zhao Zi Yuan (Anna)

Technology Support Specialist

Responsibilities:

• Supporting the Firm in the Technology function, including but not limited to software, hardware, networking infrastructure and applications
• Providing support in IT/ IS functions such as networking, mobile device, remote, audio visual, telephony and security
• Conducting basic in-house application training sessions to our user community
• Drafting, updating and managing documentation as part of the work process
• Collaborating with other members of the Technology team and Business Services team to come up with practical and effective solutions to meet business operational needs
• Participating in and contributing to special projects in support of Firm initiatives
• Assisting the team with related ad-hoc duties, where necessary

Requirements:

• Bachelor’s degree in Computer Science/Engineering, Information Technology or equivalent
• Intermediate working knowledge of Microsoft Technologies that include but are not limited to Windows Operating System and Office Applications (Word, Excel, PowerPoint and Outlook)
• Experience with other mainstream software systems (e.g. iOS, Mac OSX, Android) and/or technical skills related to an ability to do basic logic design and programming with simple scripts; or using industry standard visual basic, power-shell, will be ideal
• Industry standard current certifications by Microsoft, Cisco, HP, Application solution vendors will be helpful
• At least 2 years’ relevant experience in a corporate environment. Experience working in a law firm would be an advantage
• Honesty, integrity and professionalism are key pillars to how we operate in our environment. You must be able to handle sensitive matters and maintain strict confidentiality at all times
• Excellent analytical, troubleshooting, organizational, planning and critical thinking skills. You are able to multi-task, and handle multiple projects as well as changing priorities to support business needs
• You demonstrate a sense of urgency and the ability to work and respond to a fast-paced environment, as well as flexibility in adjusting hours to meet operational and business needs
• A strong team player with excellent interpersonal, written and verbal communication skills, to facilitate effective working relationships within the Technology team, our user community and stakeholders

We look forward to receiving your applications. Please note that only shortlisted applicants will be notified.

You may visit our website at www.wongpartnership.com for more information.

Please note that only shortlisted applicants will be notified.

In submitting your application to our firm, you agree and consent to the collection, usage and disclosure of your personal data in accordance with our Personal Data Policy, which is available at www.wongpartnership.com. In addition, you consent to be considered for all suitable positions, including the position you're applying for, within WongPartnership LLP.

- Experience in ELV system such as Audio/Video; CCTV and security and surveillance system.

- Door Access system installation & troubling-shooting

- Alarm system installation & troubling-shooting

- Electrical Power installation & trouble-shooting

- Cable Cat6 and Fiber installation & troubling-shooting

- Fiber optic cable splicing and Testing

- ELV device installation, configuration and troubling-shooting

- NVR & CCTV device installation, configuration and troubling-shooting

- Supervise a team of technician

- More than 8-ears experience in related fields

Quantitative Trading Engineer / Quantitative Researcher

Working day: Monday to Friday, 9am to 6.30pm

Working location: Raffles Place

Salary: Discuss during interview

Responsibilities

Strategy Development:

• Use AI technologies such as machine learning and deep learning to intelligently optimize investment strategies and improve the performance of strategies in actual transactions.
• Extract predictive signals from financial data through both traditional statistical analysis methods and cutting-edge machine learning techniques.
• Formulate and apply mathematical modeling techniques to enhance existing trading strategies and perform innovative new research with the goal of identifying and capturing trading opportunities.

Data Analysis：

• Collect and analyze large financial datasets (market data, news, social media, etc.).
• Work with large data sets to predict and test statistical market patterns, combining knowledge of systems, mathematical techniques, and trading to identify the best places to improve the trading system.
• Build and optimize feature engineering pipelines to improve model prediction accuracy.

Financial Modeling:

• Construct, back-test, maintain, and improve financial models to support trading activities.
• Conceptualize valuation strategies, develop, and continuously improve upon mathematical models and help translate algorithms into code
• Conduct research and statistical analysis to build and refine monetization systems for trading signals
• Optimize the order execution and risk management of our trading system
• Create robust solutions to problems presented in the trading environment
• Build regression, classification, reinforcement learning and other models for market forecasting and trading decisions.
• Tuning the model's hyperparameters to improve model performance and stability.

Strategy backtesting and real-time testing:

• Backtest historical data to evaluate the strategy's yield, volatility, drawdown and other indicators.
• Deploy the strategy to the real-time environment, track performance and continuously optimize.

Requirements

• Master’s degree or above in Statistics, Mathematics, Applied Mathematics, Computer Science, Financial Engineering or equivalent.
• At least 2 years of experience in quantitative trading and machine learning modeling.
• Proficient in programming languages ​​such as Python, C++, Java, etc.
• Familiar with common machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn.
• Familiar with quantitative trading systems, data flows and algorithms.
• Deep understand the structure of financial markets and be familiar with markets such as virtual currencies, stocks, futures, and foreign exchange.
• Experience in large-scale data processing, proficient in using SQL, NoSQL, Hadoop and other tools.

Bonus Skills

• Experience in developing high-frequency trading strategies will be an advantage.
• Participated in AI competitions (such as Kaggle) or published papers in top conferences (such as NeurIPS, ICML) will be an advantage.
• Familiar with cutting-edge AI technologies such as reinforcement learning, and generative adversarial networks (GANs) will be an advantage.

Quantitative Trading Engineer / Quantitative Researcher

Working day: Monday to Friday, 9am to 6.30pm

Working location: Raffles Place

Salary: Discuss during interview

Responsibilities

Strategy Development:

• Use AI technologies such as machine learning and deep learning to intelligently optimize investment strategies and improve the performance of strategies in actual transactions.
• Extract predictive signals from financial data through both traditional statistical analysis methods and cutting-edge machine learning techniques.
• Formulate and apply mathematical modeling techniques to enhance existing trading strategies and perform innovative new research with the goal of identifying and capturing trading opportunities.

Data Analysis：

• Collect and analyze large financial datasets (market data, news, social media, etc.).
• Work with large data sets to predict and test statistical market patterns, combining knowledge of systems, mathematical techniques, and trading to identify the best places to improve the trading system.
• Build and optimize feature engineering pipelines to improve model prediction accuracy.

Financial Modeling:

• Construct, back-test, maintain, and improve financial models to support trading activities.
• Conceptualize valuation strategies, develop, and continuously improve upon mathematical models and help translate algorithms into code
• Conduct research and statistical analysis to build and refine monetization systems for trading signals
• Optimize the order execution and risk management of our trading system
• Create robust solutions to problems presented in the trading environment
• Build regression, classification, reinforcement learning and other models for market forecasting and trading decisions.
• Tuning the model's hyperparameters to improve model performance and stability.

Strategy backtesting and real-time testing:

• Backtest historical data to evaluate the strategy's yield, volatility, drawdown and other indicators.
• Deploy the strategy to the real-time environment, track performance and continuously optimize.

Requirements

• Master’s degree or above in Statistics, Mathematics, Applied Mathematics, Computer Science, Financial Engineering or equivalent.
• At least 2 years of experience in quantitative trading and machine learning modeling.
• Proficient in programming languages ​​such as Python, C++, Java, etc.
• Familiar with common machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn.
• Familiar with quantitative trading systems, data flows and algorithms.
• Deep understand the structure of financial markets and be familiar with markets such as virtual currencies, stocks, futures, and foreign exchange.
• Experience in large-scale data processing, proficient in using SQL, NoSQL, Hadoop and other tools.

Bonus Skills

• Experience in developing high-frequency trading strategies will be an advantage.
• Participated in AI competitions (such as Kaggle) or published papers in top conferences (such as NeurIPS, ICML) will be an advantage.
• Familiar with cutting-edge AI technologies such as reinforcement learning, and generative adversarial networks (GANs) will be an advantage.

Responsibilties

• Lead the engineering teams within the verticle
• Evaluating and analyzing existing processes and procedures to identify areas of improvements
• Oversee the projects by planning, prioritizing tasks, resource allocation, giving instructions, reviewing code and implementation
• Collaborate with Product Managers, Designers and other key stakeholders to deliver on key priorities
• Strategic thinking to deliver end-to-end user experience solutions with a focus on user needs and business goals

Requirements

• 6-10 years of software engineering experience
• Degree in computer science, information security, or a related subject
• Familiarity with backend development related technology stacks
• Experience leading design and implementation of a highly scalable web services
• Strong interpersonal and communication abilities work successfully with stakeholders
• Great time management skills while working under tight timeline
• Strong analytical and problem-solving skills
• Ability to communicate in mandarin with our stakeholders would be an added advantage

User Experience Management Consultant

Requirements:

• Degree in IT, Management, Psychology, Data Analysis or equivalent
• Minimum 3-5 years of relevant experience
• Understanding of Experience Management concept (CX / DT background is a plus)
• Basic knowledge on XM tools (preferable Qualtrics)
• Research and need analysis capability
• Customer / Partner Journey mapping, Customer segmentation and personas creation
• Service blueprint design
• Collect and coordinate data (rules, survey standards, metrics selection)
• Analytical approaches, reporting and create dashboard
• Implement, roll out and communicate XM as per XM framework (from Nang)
• Candidates can be not fully IT background. Psychology and Data Analyst background are possible.
• Prefer candidates who are skilled in business case calculation, business analysts.
• Excellent communication and interpersonal skills

Interested applicants please forward your updated profile to [email protected]

Quantitative Trading Engineer / Quantitative Researcher

Working day: Monday to Friday, 9am to 6.30pm

Working location: Raffles Place

Salary: Discuss during interview

Responsibilities

Strategy Development:

• Use AI technologies such as machine learning and deep learning to intelligently optimize investment strategies and improve the performance of strategies in actual transactions.
• Extract predictive signals from financial data through both traditional statistical analysis methods and cutting-edge machine learning techniques.
• Formulate and apply mathematical modeling techniques to enhance existing trading strategies and perform innovative new research with the goal of identifying and capturing trading opportunities.

Data Analysis：

• Collect and analyze large financial datasets (market data, news, social media, etc.).
• Work with large data sets to predict and test statistical market patterns, combining knowledge of systems, mathematical techniques, and trading to identify the best places to improve the trading system.
• Build and optimize feature engineering pipelines to improve model prediction accuracy.

Financial Modeling:

• Construct, back-test, maintain, and improve financial models to support trading activities.
• Conceptualize valuation strategies, develop, and continuously improve upon mathematical models and help translate algorithms into code
• Conduct research and statistical analysis to build and refine monetization systems for trading signals
• Optimize the order execution and risk management of our trading system
• Create robust solutions to problems presented in the trading environment
• Build regression, classification, reinforcement learning and other models for market forecasting and trading decisions.
• Tuning the model's hyperparameters to improve model performance and stability.

Strategy backtesting and real-time testing:

• Backtest historical data to evaluate the strategy's yield, volatility, drawdown and other indicators.
• Deploy the strategy to the real-time environment, track performance and continuously optimize.

Requirements

• Master’s degree or above in Statistics, Mathematics, Applied Mathematics, Computer Science, Financial Engineering or equivalent.
• At least 2 years of experience in quantitative trading and machine learning modeling.
• Proficient in programming languages such as Python, C++, Java, etc.
• Familiar with common machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn.
• Familiar with quantitative trading systems, data flows and algorithms.
• Deep understand the structure of financial markets and be familiar with markets such as virtual currencies, stocks, futures, and foreign exchange.
• Experience in large-scale data processing, proficient in using SQL, NoSQL, Hadoop and other tools.

Bonus Skills

• Experience in developing high-frequency trading strategies will be an advantage.
• Participated in AI competitions (such as Kaggle) or published papers in top conferences (such as NeurIPS, ICML) will be an advantage.
• Familiar with cutting-edge AI technologies such as reinforcement learning, and generative adversarial networks (GANs) will be an advantage.

PRISM+ is the largest Singaporean direct-to-consumer smart home appliances brand. Our mission is to offer cutting-edge products to the masses at affordable prices. We are a rapidly growing, ever-evolving organisation, and we are seeking new teammates to join us on our exciting journey.

Responsibilities:

• Ensure timely, accurate month-end closing and financial reporting to Management
• Responsible for preparation and closing of monthly management account annual financial statements
• Responsible for accounting processes and tasks which includes GL, account reconciliation, schedule maintenance etc.
• Coordinate and liaise with internal department members to support all accounting reporting and operation matters
• Coordinate and liaise with external parties like external auditors, tax agents, corporate secretarial agents, local tax and government authorities as and when required
• Support and ensure compliance with all finance filing requirements, tax filing requirement (GST), audits, procedures and forms both statutory and internal
• Assist in new processes and system implementation when require
• Participate in ad-hoc projects

Requirements:

• Bachelor's degree in Accounting or Finance
• Minimum of 2 years of experience as a Finance executive with full set accounting experience
• Strong knowledge of accounting principles and practices
• Proficiency in using accounting software, such as Xero
• Excellent attention to detail and accuracy
• Strong analytical and problem-solving skills
• Solid understanding of financial statements and financial analysis techniques
• Exceptional organizational and time management skills
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team
• Strong ethical standards and commitment to confidentiality
• Proficient in Microsoft Excel and other Microsoft Office applications

Roles & Responsibilities

Job Description:

People supervision

· Provide hands-on coaching and supervision to relevant accounting staff assigned to the entity/entities.

Accounting and reporting

· Ownership of the process to prepare the accounts for the entities assigned in strict adherence to deadlines and instructions given by the region or group.

· Ownership of accounting areas for entity reporting including but not limited to impairment reviews, revenue recognition, leaving indemnities, asset physical counts.

· Key contact with external auditors and internal auditors in planning, executing and completing audits for the assigned entity/entities.

· Perform hands on accounting and month end close activities and reviews; ensuring revenue and costs/overheads completeness and accuracy.

· Institute monthly comprehensive on and off balance sheet risk review and accounts reconciliations; take immediate actions to address risk and ensure balance sheet items are fairly stated at all times.

Compliances and controls

· Ensure filing deadlines for the entities are met and issues addressed promptly.

· Collate and review, monthly and year end reconciliation of local entity statutory results to group reporting ensuring that differences, if any, are approved, adequately documented and appropriate.

· Implement and ensure standard processes and related controls, including but not limited to purchase to pay, order to collection and month end processes, are fully complied.

· Ownership of compliances to Group’s policies, procedures and deadlines.

Cash and Taxation

· Ownership of proper tax compliances and filing for both direct and indirect taxes in the entities assigned.

· Liaise closely with HR/payroll on personal income tax liability and exposures.

· Follow up diligently on cash collections via timely information provision and discussions with local commercial and operations team, highlighting issues and actions promptly.

Other

· Support budgeting process

· Participation in other group and regional initiatives

. Preparation and reporting of budget and forecast and management reports. Analyse financial performance against budget and forecast.

Job Requirements:

Technical

· An ACCA, CPA or CA qualified accountant preferably with some audit experience.

· Proven operational finance experience in a contracting business within a multinational and multicurrency setting.

· Up to date and relevant IFRS knowledge with proven application in commercial and real life business scenarios

· IT savvy and hands-on experience with ERP systems essential

. Preform monthly reporting consolidation report experience in advantage

Personal

· Must possess the drive and credibility.

· A mature and highly responsible self-starter, with effective written and oral communication skills, who is committed to deliver operational excellence.

· Needs to be very systematic, meticulous and hands-on.

· Able to manage own time and prioritise workload to deliver against corporate timetables in a complex, conflicting and often time pressured environment.

· A team player with highest level of integrity.

Quantitative Trading Engineer / Quantitative Researcher

Working day: Monday to Friday, 9am to 6.30pm

Working location: Raffles Place

Salary: Discuss during interview

Responsibilities

Strategy Development:

• Use AI technologies such as machine learning and deep learning to intelligently optimize investment strategies and improve the performance of strategies in actual transactions.
• Extract predictive signals from financial data through both traditional statistical analysis methods and cutting-edge machine learning techniques.
• Formulate and apply mathematical modeling techniques to enhance existing trading strategies and perform innovative new research with the goal of identifying and capturing trading opportunities.

Data Analysis：

• Collect and analyze large financial datasets (market data, news, social media, etc.).
• Work with large data sets to predict and test statistical market patterns, combining knowledge of systems, mathematical techniques, and trading to identify the best places to improve the trading system.
• Build and optimize feature engineering pipelines to improve model prediction accuracy.

Financial Modeling:

• Construct, back-test, maintain, and improve financial models to support trading activities.
• Conceptualize valuation strategies, develop, and continuously improve upon mathematical models and help translate algorithms into code
• Conduct research and statistical analysis to build and refine monetization systems for trading signals
• Optimize the order execution and risk management of our trading system
• Create robust solutions to problems presented in the trading environment
• Build regression, classification, reinforcement learning and other models for market forecasting and trading decisions.
• Tuning the model's hyperparameters to improve model performance and stability.

Strategy backtesting and real-time testing:

• Backtest historical data to evaluate the strategy's yield, volatility, drawdown and other indicators.
• Deploy the strategy to the real-time environment, track performance and continuously optimize.

Requirements

• Master’s degree or above in Statistics, Mathematics, Applied Mathematics, Computer Science, Financial Engineering or equivalent.
• At least 2 years of experience in quantitative trading and machine learning modeling.
• Proficient in programming languages ​​such as Python, C++, Java, etc.
• Familiar with common machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn.
• Familiar with quantitative trading systems, data flows and algorithms.
• Deep understand the structure of financial markets and be familiar with markets such as virtual currencies, stocks, futures, and foreign exchange.
• Experience in large-scale data processing, proficient in using SQL, NoSQL, Hadoop and other tools.

Bonus Skills

• Experience in developing high-frequency trading strategies will be an advantage.
• Participated in AI competitions (such as Kaggle) or published papers in top conferences (such as NeurIPS, ICML) will be an advantage.
• Familiar with cutting-edge AI technologies such as reinforcement learning, and generative adversarial networks (GANs) will be an advantage.

About Innowave Tech

Innowave Tech is an Artificial Intelligence (AI) company offering solutions for the Semiconductor and Advanced Manufacturing industry. Utilizing deep industrial domain knowledge, proven experience, and innovation, we provide expert AI solutions and systems to address various industry pain points.

Why Join Us

As our clientele expands within the semiconductor and advanced manufacturing sectors, our team needs to expand accordingly. If you possess quick learning abilities and thrive in a rapidly evolving environment, this is the perfect opportunity to join us !

Key Responsibilities

• Assist in the development and maintenance of C# Windows Forms applications.
• Contribute to the development of console applications using C#.
• Work closely with the development team to understand requirements and implement solutions.
• Participate in code reviews and adhere to coding standards and best practices.
• Help document code and maintain software documentation.

Requirements

• Only Singaporean, Singapore PR, Malaysian, and local graduate bonded for local employment can apply due to MoM regulation.
• Currently pursuing or recently graduated with a degree in Computer Science, Software Engineering, or related field.
• Basic understanding of C# and .NET framework.
• Familiarity with Windows Forms and console applications development is a plus.
• Strong problem-solving skills and a willingness to learn.
• Excellent communication and teamwork skills.

What We Offer

• A collaborative and supportive environment to grow your skills.
• Hands-on experience working on real-world projects.
• Guidance and mentoring from experienced software developers.
• Opportunity to contribute to impactful projects.

Screen Questions to emphasize in resume

1. Are you Singaporean/PR, Malaysian/NAS Work Permit holders, or local graduate bonded for local employment?
2. Do you have strong problem-solving skills and a willingness to learn?
3. Are you able to commence work in one month notice or less?

Job Responsibilities:

• Plan and assign equipment operators for aircraft pushback/towing, water/toilet servicing and supply of GSE equipment.
• Liaise with IGO/Maintrol/CEG for aircraft towing and other utilities servicing activities.
• Liaise with Equipment Maintenance team on equipment requirements/shortages.
• Maintain regular walkie-talkie communication with the equipment operators to ensure punctual departure of flights and any other changes in assignment for any services.
• Attend to customers’ requests/complaints (where necessary).
• Update the duty supervisor on any delay.
• Carry out any other duties as assigned.

Job Requirements:

• Higher Nitec / Diploma in Aviation or Aircraft Mgt
• Candidates who are proficient in SAP and Microsoft Applications will have an advantage
• Must be able to perform 12 hour rotating shift works
• Work Location: Changi Airport

Job Description:

• Perform functional and aesthetic inspection of aircraft cabin interiors.

• Document any defects, perform troubleshooting and carry out rectification.

• Support cabin modification, retrofitting and component repair tasks.

• Any other duties as assigned by the supervisor

Requirements:

• NITEC / Higher NITEC, preferably in an Engineering discipline

• At least minimum 2 years of relevant aircraft cabin maintenance experience

• Able to work flexible hours, including weekends and public holidays (rotating shift hours)

We are seeking a Partner Support Analyst to focus on implementing effective support solutions for media publishers, public figures, and creators to connect with their communities. This role will sit within the Partner Support Strategy team, which oversees the optimization of support processes, tooling, and enablement for strategic partners across social media platforms.

This will be an operationally intensive role working with various internal processes and systems to drive efficiency across the organization. Being an organized, detail-oriented mindset self-starter, you will serve as a key point of contact between key internal and external stakeholders.

Responsibilities

• Assist partners and partner managers with troubleshooting. Triage operational requests to the appropriate teams.
• Develop a deep understanding of the business and connect the dots between teams to identify areas for efficiency and collaboration.
• Partner with cross-functional team members to drive operational improvements with a good understanding of internal policies and risks. .
• Serve as the primary POC for the partner onboarding and offboarding process including data collection, evaluation, and input.
• Utilize various internal tools to help onboard and provide ongoing partner support. Own resolving partner issues by using all available tools and resources.
• Provide an amazing support experience to our creators or partners across the platform.
• Maintain internal databases to ensure timely and accurate data entry.
• Provide educational training to partner managers on partner support and escalation processes.
• Contribute with insights based on day to day work and by executing tasks to support initiatives.

Minimum Qualifications

• Ability to communicate fluently in Japanese
• 3+ years of experience
• BA or BS Degree in a related field
• Avid Social Media user with knowledge of both products as a user and creator or publisher

Preferred Qualifications

• Experience in relevant industries such as Entertainment, Sports, Media, or Gaming Video.
• Experience working in partner or customer support operations at a technology company.

Front-End - DotNet, MVC

Responsibilities

• Collaborate with internal teams to produce quality applications

• Write clean, scalable code using .NET programming languages

• Test and deploy applications and systems

• Revise, update, refactor and debug code

• Improve existing software

• Develop documentation throughout the software development life cycle (SDLC)

• Provide technical support

Requirements

• Knowledge with the ASP.NET framework, SQL Server and design/architectural patterns (e.g. Model-View-Controller (MVC))

• In-depth knowledge of at least one of the .NET languages (e.g. C#, Visual Basic .NET) and HTML5/CSS3

• Familiarity with architecture styles/APIs (REST, RPC)

• Understanding of Agile methodologies

• Good troubleshooting and communication skills

• Attention to detail

• Degree in Computer Science, Engineering or a related field

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• This position is for Office of Corporate Communications and Marketing (OCCM).
• Finance and Procurement
  • Maintain governance of procurement and finance policies to ensure compliance and operational efficiency.
  • Manage the procurement process, including collaborating with project managers to request proposals, facilitate tender evaluations, appoint vendors, create purchase orders (POJs), and manage contracts.
  • Reconcile invoices with corresponding purchase orders and resolve any discrepancies or issues promptly.
  • Prepare and maintain accurate and up-to-date financial records.
  • Support and prepare budget forecast reports and budget phasing reports.
• HR and Administration
  • Manage all HR-related matters, including the recruitment, onboarding, and offboarding.
  • Organise team engagement initiatives to foster a positive working environment.
  • Maintain L&D training record and manage the welfare fund.
  • Maintain and manage the team's SharePoint site, ensuring efficient knowledge sharing and proper record-keeping.
  • Provide secretarial support, including coordinating meetings, preparing meeting notices and minutes, and disseminating documents as required.
  • Handle fixed asset management, including maintaining a list of assets, conducting biannual asset verification, and coordinating laptop replacements/updates with IITS.
  • Assist with the SMU Shop's annual stock-taking exercise.
• Brand & Marketing
  • Provide operational support for brand and marketing-related activities, such as granting access to the brand portal and ensuring smooth brand management operations.
  • Provide support in brand compliance requests.
  • Support the OCCM's Data Protection Officer (DPO) in relation to data protection practices within the CM function.
  • Assist in events organised by OCCM (e.g., Patron's Day, PDLS, HRH, PSOUs, CD, Commencement, etc.).

• Bachelor's degree in Business Administration, Marketing, or related fields.
• At least 6 years of relevant work experience.
• Familiar with procurement processes, contract management, and tendering procedures.
• Good knowledge of financial management, budgeting, and reporting processes.
• Understanding of branding and marketing principles e.g. brand consistency, content management and campaign execution.
• Strong organisational and time-management skills.
• Strong verbal and written communication skills to liaise with internal stakeholders (e.g. Procurement, Finance, HR, IITS) and external vendors.
• Meticulous with good financial acumen.
• Advanced proficiency in Microsoft Office Suite (Excel, PowerPoint, Word), SharePoint, and familiarity with financial systems and procurement tools such as SAP, Prophix, Ariba, etc.

#LI-ST1

Candidates who do not possess the stipulated qualifications but have relevant work experience may still apply. Remuneration and appointment terms shall commensurate with qualifications and experience. SMU reserves the right to modify the appointment terms where necessary.