Senior Quant Developer – Python, Hedge Fund, Dubai

Stanford Black Limited

Dubai

On-site

AED 900,000 - 1,300,000

Full time

14 days+

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Benefits offered by this job

Relocation support

Job summary

The Lead Quant Developer role at Stanford Black Limited in Dubai offers a high-impact position within a premier hedge fund environment. You will design and deliver Python-based quant applications, own complex technical challenges, and collaborate with investment professionals to translate business needs into robust software solutions.

Ideal candidates bring 6+ years in quantitative development, a multi-asset background from a top-tier institution, and an advanced degree in STEM.

Qualifications

  • 6+ years of relevant experience in quantitative development.
  • Masters or PhD from a top global university in CS/Math/STEM.
  • Strong Python programming and software engineering fundamentals.
  • Experience with multi-asset investment banks or hedge funds is essential.

Responsibilities

  • Design and develop sophisticated Python-based quant applications in a demanding financial setting.
  • Address complex engineering challenges with emphasis on reliability and performance.
  • Own projects from requirements through implementation and ongoing improvement.
  • Collaborate with investment professionals to translate business needs into technical solutions.
  • Identify opportunities to improve systems, development processes and engineering capabilities.
  • Provide technical guidance and establish best practices across the team.

Skills

Python programming
Quantitative development
Software engineering fundamentals
Financial markets knowledge
Stakeholder engagement

Education

Masters or PhD in CS/Computing/Mathematics or STEM

Tools

Python

Job description

The Lead Quant Developer role at Stanford Black Limited in Dubai offers a high-impact position within a premier hedge fund environment. You will design and deliver Python-based quant applications, own complex technical challenges, and collaborate with investment professionals to translate business needs into robust software solutions.

Ideal candidates bring 6+ years in quantitative development, a multi-asset background from a top-tier institution, and an advanced degree in STEM.

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