Quantitative Researcher

Maisha Mazuri; Amsterdam; On-site; EUR 70,000 - 120,000; Full time

Job summary

Maisha Mazuri, in collaboration with leading Trading Firms and Hedge Funds in Amsterdam, seeks a Quantitative Researcher to advance intraday research and trading strategies using Python.

The role rewards a proven 3+ year track record in equities/indices options, ETFs, or futures, excellent problem-solving skills, and comfort with C++ as an asset. You will join teams that value integrity and rigorous interviews.

Qualifications

• Proven track record of at least 3 years in asset class/focus market with intra-day trading experience.
• Strong Python skills for research and automation.
• Excellent problem solving skills.

Tools

Python

C++

Job description

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

In Amsterdam, our partners have the following types of opportunities:

• Setting up a new trading team/desk with an industry leading proprietary trading firm;
• Creating a centralized research team to support existing and new trading teams;
• Joining an existing team/desk looking for an experienced researcher/trader with a fresh perspective.

Requirements

Our Quantitative Researcher mandates require the following skillsets:

• 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;

If you would like to know about this position or other opportunities we can connect you with, feel free to reach out to us via email at [e-mail].

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.