Quantitative Researcher

Maisha Mazuri; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Maisha Mazuri is partnering with trading firms in London hiring for Quantitative Researchers. The role targets researchers who can contribute to intraday research and signal development across Equity/Index Options, ETFs, or Futures.

The ideal candidate has a minimum of three years in the asset class, strong Python for research and automation, and familiarity with C++ is a plus. You will work with experienced teams and adhere to high ethical standards in a fast-paced environment.

Qualifications

• Minimum 3 years in the specified asset class or focus market.
• Strong Python skills for research and automation; C++ is advantageous.
• Excellent problem-solving abilities.

Skills

Python

C++

Problem solving

Job description

We have partnered with a range of Trading Firms and Hedge Funds of different sizes looking for new talent. Our partners range from small to enterprise sized businesses (between 15-1000 FTE) undertaking both HFT and MFT in traditional markets and the digital asset space.

In London, our partners are hiring for the following opportunities:

• Setting up a new trading team/desk with an industry leading proprietary trading firm;
• Joining an existing team/desk looking for an experienced researcher with a fresh perspective.

Requirements

Our Quantitative Researcher mandates require the following skill sets:

• A proven track-record (at least 3 years) in your given asset class/focus market (experience with intra-day trading in any market concentrated on either Equity/Index Options, ETFs, or Futures is most relevant for our partners);
• A strong command of Python for research and automation purposes (C++ is advantageous);
• Excellent problem solving skills;

We hold ourselves to high ethical and professional standards guided by transparency, honesty, and trust. We will never introduce your data and CV to our partners unless we have your explicit written permission to do so, will always prepare you for your interviews, and provide feedback on your applications when we engage in a process.