Quantitative Researcher
Anson McCade Dubai
Job Description
Quantitative Researcher - Cash Equities, Futures and Options - London/Amsterdam/Dubai
My client is a renowned quantitative trading firm operating at the forefront of the HFT/intraday trading space. The firm is looking for Quantitative Researchers covering Equities, Futures/D1 or Options trading who can join a flat, collaborative set up where they can research strategies end-to-end.
The firm can offer exceptional resources, including access to their own in-house cutting-edge infrastructure, allowing for cost-effective ultra low-latency execution. They encourage collaboration while allowing a high level of autonomy for each trading team, and can offer exceptional compensation.
The Role:
- Joining or building a desk where you will research and trade alphas based on the analysis of market or alternative data, in a collaborative environment.
- Researching signals, monitoring performance of models and optimising them where possible, in collaboration with research engineers, development, and monetization specialists.
- Creating quantitative tools and infra to aid the strategy development process, such as portfolio optimization tools, execution algorithms, modelling libraries, etc. for the rest of your trading team to use.
Requirements:
- A degree from a prestigious university in a numerate field. Previous successful candidates have degrees in Engineering, Physics, Mathematics, Computer Science, etc.
- Coding proficiency in C++ and Python.
- At least three years of experience as a Quantitative Researcher/Trader, where you used sophisticated quant methods for the research and optimisation of strategies.
- You will need to be a confident, resilient, and highly motivated individual, capable of working collaboratively with your colleagues in your office and in other locations.
SPAARKDDubai
Job Description
Freelance Customer Development Researcher (August Project)
Start Date: Immediate
Duration: 4 weeks (August)
Commitment: 2025 user interviews/week (40 hours)
Location: Remote
Compensation: Competitive, based on experience
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