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