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Quantitative Analytics Associate Graduate Programme

barclays.co.uk Logo

Barclays

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Location:
Singapore , Singapore

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Category:

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

Graduate Programme delivering immersive experiences, transformative development and support. You’ll learn from bespoke training and e-learning. You’ll do meaningful work, discover resources to help you build a long-term career and develop your skillset with the guidance of a hand-picked line manager and a dedicated talent coach. The Quantitative Analytics team is a global organisation of highly specialised modellers and developers responsible for researching, innovating, developing, testing, implementing, and supporting all quantitative models used for valuation and risk management across all asset classes. You’ll gain the widest exposure to a variety of modelling techniques and instruments to help drive business strategy.

Job Responsibility:

  • Application of the latest quantitative techniques to solve business problems
  • Research, development, and implementation of new models and solutions
  • Improve the bank’s computing and data infrastructure
  • Collaboration with cross-functional teams and senior management to progress business initiatives
  • Participation in training and development programs
  • Conduct research to support strategic decision making
  • Prepare presentations and reports to communicate research findings
  • Collaborate with senior management to implement research findings
  • Design, development of the quantitative research framework using domain specific languages
  • Participation in technical design and development of the global team’s quantitative research systems, research notebooks and products

Requirements:

  • Pursuing a Masters or a PhD in a technical discipline such as Physics, Mathematics, Operations Research, Quantitative Finance, Statistics, Calculus, Computer Science or other STEM subjects with a graduation date between December 2025 and June 2026
  • Mathematical and programming skills (ideally in Java, C++, or Python)
  • Knack for logical thinking and creative problem solving
  • Good communicator and team player
  • Motivated and curious
What we offer:
  • Paid holiday and vacation
  • Competitive pay
  • Private medical care
  • Disability assurance
  • Flexible working
  • Life assurance
  • Voluntary benefits
  • Retirement planning

Additional Information:

Job Posted:
January 03, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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