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6,547

Maintenance jobs in Singapore

Artificial Intelligence/Machine Learning Modeller- Global Markets

Barclays UK

Singapore
On-site
SGD 80,000 - 120,000
26 days ago
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Manager-Group Accounts

AVANI RESOURCES PTE. LTD.

Singapore
On-site
SGD 85,000 - 120,000
26 days ago

Administrative Executive

OCEANDRIVE NETWORKS PTE. LTD.

Singapore
On-site
SGD 60,000 - 80,000
26 days ago

Automation Technician: Vibratory Systems & PLC Specialist

Aurora Asia Pacific Pte Ltd

Singapore
On-site
SGD 60,000 - 80,000
26 days ago

Electrical Technician -West Singapore - I - L5W97RX3

Aurora Asia Pacific Pte Ltd

Singapore
On-site
SGD 60,000 - 80,000
26 days ago
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Electronics Technician: Circuits, PCB & Troubleshooting

ASEC INDUSTRIES PTE. LTD.

Singapore
On-site
SGD 20,000 - 60,000
26 days ago

Electrical Technician

ASEC INDUSTRIES PTE. LTD.

Singapore
On-site
SGD 20,000 - 60,000
26 days ago

Engine Fitter

Focal Search Pte Ltd

Singapore
On-site
SGD 20,000 - 60,000
26 days ago
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Marine Engine Installer & Maintenance Technician

Focal Search Pte Ltd

Singapore
On-site
SGD 20,000 - 60,000
26 days ago

Healthcare Facilities Manager: Lead Ops, Quality & Budget

RECRUIT EXPRESS PTE LTD

Singapore
On-site
SGD 80,000 - 100,000
26 days ago

Executive/Senior Executive (Admin & Accounts)

MEETING MATTERS INTERNATIONAL PTE. LTD.

Singapore
On-site
SGD 48,000 - 70,000
26 days ago

Shipping Operation Manager

EDEN SHIPPING & TRADING PTE. LTD.

Singapore
On-site
SGD 60,000 - 110,000
27 days ago

SUPERVISOR

ANN ENGINEERING PTE. LTD.

Singapore
On-site
SGD 50,000 - 70,000
27 days ago

Government Fleet Dispatcher and Operations Coordinator

CENTERRA CONSTRUCTION PARTNERS, LLC

Serangoon Garden Circus
On-site
SGD 20,000 - 60,000
27 days ago

Dispatcher Clerk

CENTERRA CONSTRUCTION PARTNERS, LLC

Serangoon Garden Circus
On-site
SGD 20,000 - 60,000
27 days ago

Assistant Logistics Manager (West)

TRUST RECRUIT PTE. LTD.

Singapore
On-site
SGD 60,000 - 80,000
27 days ago

Admin Executive (Accounting & Office Administration)

HOSSEY EVENTS PTE. LTD.

Singapore
On-site
SGD 60,000 - 80,000
27 days ago

Assistant Engineer Software

WILLOWGLEN SERVICES PTE LTD

Serangoon Garden Circus
On-site
SGD 36,000 - 54,000
27 days ago

NPI Engineer II

INGRASYS (SINGAPORE) PTE. LTD.

Singapore
On-site
SGD 60,000 - 80,000
27 days ago

LABORATORY TECHNICIAN

KANEKA SINGAPORE CO. (PTE) LTD.

Singapore
On-site
SGD 60,000 - 80,000
27 days ago

Scientist MS&T, DSP

Novartis

Singapore
On-site
SGD 60,000 - 80,000
27 days ago

Shipyard Pipefitter

JUPITER RECRUITMENT AGENCY PTE. LTD.

Singapore
On-site
SGD 60,000 - 80,000
27 days ago

Personal Driver cum PA

RECRUIT LYNC PTE. LTD.

Singapore
On-site
SGD 20,000 - 60,000
27 days ago

Kitchen Cook (Chinese)

SO GOOD SEAFOOD RESTAURANT PTE. LTD.

Singapore
On-site
SGD 20,000 - 60,000
27 days ago

System Applications Engineer - Hardware & Software Integration

WECRUIT PTE. LTD.

Singapore
On-site
SGD 50,000 - 70,000
27 days ago

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Artificial Intelligence/Machine Learning Modeller- Global Markets
Barclays UK
Singapore
On-site
SGD 80,000 - 120,000
Full time
26 days ago

Job summary

A leading investment bank in Singapore seeks an AI/ML Modeller to build and productionize Machine Learning models across asset classes. The ideal candidate will have a Master's degree in a STEM field and strong expertise in Machine Learning and Python. Responsibilities include developing quantitative models to optimise trading strategies, conducting in-depth data analysis, and collaborating across teams to provide innovative solutions. This role values creativity and a collaborative mindset, driving innovation within trading environments.

Qualifications

  • Master’s degree in a Science, Technology, Engineering and Mathematics (STEM) field (PhD preferred).
  • A proven record of a strong foundation in Machine Learning, data science, and software engineering.
  • Proven experience with Python.

Responsibilities

  • Development and implementation of quantitative models and strategies to optimise trading.
  • In-depth research, data analysis, and statistical modelling for market trends.
  • Provide front-office infrastructure support for analytical libraries.

Skills

Machine Learning
Python
Data Science
Collaborative Mindset

Education

Master's degree in a STEM field

Tools

AWS SageMaker
Job description

Join the Barclays Global Markets in Singapore as an AI/ML Modeller where you’ll play a crucial role in building an AI/ML team and we’re doing it with start‑up energy: lean, collaborative, and relentlessly focused on impact. We’re looking for technically exceptional, intellectually curious individuals who thrive on solving complex problems with elegant, practical solutions. You’ll help shape a greenfield function, designing and deploying models that drive innovation across trading and distribution. You’ll be assessed on your ability to think strategically, manage risk, and deliver high‑quality, scalable solutions. But above all, we value curiosity, creativity, and a willingness to challenge the status quo. You will be responsible to build and productionize Machine Learning models across asset classes, apply advanced techniques in Machine Learning, statistics, and applied mathematics using Python (PyTorch or similar) and work hands‑on with cloud platforms like AWS SageMaker to scale solutions fast.

This role requires these essential skills/ qualifications:
  • Master’s degree in a Science, Technology, Engineering and Mathematics (STEM) field (PhD preferred).
  • A proven record of a strong foundation in Machine Learning, data science, and software engineering.
  • Proven experience with Python.
  • Deep expertise in one of the following: Natural Language Processing (NLP), Reinforcement Learning, Time Series, Algorithmic Trading and Machine Learning Engineering.
  • Demonstrated success and passion for crafting solutions that are both technically rigorous and operationally effective.
  • Champions a collaborative mindset and a drive to learn, iterate, and improve.
  • Publications or open‑source contributions? Even better—we value original thinking.
Desirable skills and qualifications
  • Experience in quant trading (especially eFX) or alpha research.
  • Large Language Models (LLM) expertise.
  • Familiarity with vector databases, SQL/NoSQL, and Amazon Bedrock.

You may be assessed on key critical skills relevant for success in the role such as mathematics, finance, programming, risk and controls, change and transformation, business acumen, and strategic thinking.

Barclays is required by law to confirm that you have the Legal Right to Work in any role that you apply for. If you currently hold a work visa sponsored by Barclays, or you would require sponsorship from Barclays, you must declare this as part of your application. Sponsored visas are role and entity specific, and any changes must be reviewed. It is important that you ensure you are working on the correct visa at all times. Failure to accurately disclose your visa status or Legal Right to Work may result in your application or any employment offer being withdrawn at any time.

Purpose of the role

To provide quantitative and analytical expertise to support trading strategies, risk management, and decision‑making within the investment banking domain, applying quantitative analysis, mathematical modelling, and technology to optimise trading and investment opportunities.

Accountabilities
  • Development and implementation of quantitative models and strategies to derive insight into market trends and optimise trading decisions, pricing, and risk management across various financial products and markets.
  • Working closely with sales teams to identify clients' needs and develop customised solutions.
  • In‑depth research, data analysis, and statistical modelling to derive insights into market trends, pricing, and risk dynamics.
  • Provide front‑office infrastructure support through ownership and maintenance of analytical libraries.
  • Provision of expertise on quantitative methodologies, technological advancements, and industry best practices to drive innovation within the trading environment.
Assistant Vice President Expectations
  • To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
  • Lead a team performing complex tasks, using well‑developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes.
  • If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
  • OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross‑functional methodologies or practices to meet required outcomes.
  • Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
  • Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
  • Take ownership for managing risk and strengthening controls in relation to the work done.
  • Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub‑function.
  • Collaborate with other areas of work, for business‑aligned support areas to keep up to speed with business activity and the business strategy.
  • Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practices (in other areas, teams, companies, etc.) to solve problems creatively and effectively.
  • Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
  • Influence or convince stakeholders to achieve outcomes.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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