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Quant Developer (Index Events)

segantii · 30+ days ago
Negotiable
Full-time
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Segantii Capital Management is a global, multi-strategy investment management firm. The Firm was founded in Hong Kong in 2007 and has offices in Hong Kong, London, New York, and Dubai.

We are looking for a motivated individual to join our Trading Technology team. This individual will work closely with various Investment teams to deliver strategic technology initiatives and quant tools in order to facilitate decision-making. S/he will also be involved in broader technology strategy and work as part of a dynamic and expanding team.

This role will have a focus on supporting our Index Events strategies.

Key Responsibilities

  • Develop quant tools/applications to facilitate decision-making and risk analysis
  • Collaborate with Investment teams (Portfolio Managers/Traders/Quant Analysts) to analyse data, implement and test models, deliver innovative ideas and trading opportunities
  • Focus on supporting our Quantitative Index Event strategies, including strategy infrastructure and development
  • Contribute to the overall development of the internally developed analytics framework, which includes a powerful data and analytics platform responsible for the analysis and presentation of data for the business

Required Background

  • 3+ years of experience in quantitative development, including design and management of trading strategies and associated tooling
  • Bachelor/Masters degree (or equivalent) in a relevant subject, e.g. Computer Science, Financial Engineering, Mathematics,
  • Previous experience in a similar role, from either:
  • Hedge fund or similar buy-side institution
  • Institutions directly related, e.g. investment bank
  • Past experience in Index Events and/or Delta One strategies would be preferable

Requisite Skills

  • Strong programming skills, particularly in Python and any other object-oriented languages
  • Experience working with distributed systems and understanding of financial datasets such as reference and market data
  • Understanding of asset classes and investment strategies typical of a multi-strategy asset manager
  • Experience of pre-trade analytical tooling such as backtesting and portfolio optimisation
  • Strong communication skills and attention to detail

Last updated on Nov 6, 2023

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