Quantitative Researcher — HFT

Location: Remote (EU)
Preferred: Warsaw / London (regular meetups in the city centre are highly appreciated)
Type: Freelance / Contract (B2B)
Compensation: Negotiable (hourly or per-project)

About

Hi, I’m Bohdan.

I’m building a proprietary trading desk focused on systematic strategies across multiple asset classes.

We are looking for a Quantitative Researcher interested in understanding how markets actually work, identifying structural inefficiencies, and validating ideas using large-scale market data.

This is a research role, not a model-tuning or generic ML position. The focus is on market mechanics, microstructure, and trading signals grounded in real market behaviour.

What you’ll do

• Explore large trading datasets to identify potential structural inefficiencies
• Formulate research hypotheses grounded in market mechanics
• Investigate market microstructure effects (order book dynamics, latency effects, liquidity behaviour)
• Analyse price behaviour across instruments and exchanges
• Design and run backtests to evaluate trading signals
• Analyse strategy performance and identify failure modes
• Communicate research results clearly and defend conclusions under technical scrutiny

Requirements

• Strong understanding of market microstructure (crypto markets preferred)
• Strong analytical thinking and ability to reason about market behaviour
• Solid foundations in probability and statistics
• Strong Python for research workflows (working with large datasets)
• Ability to formulate and defend research hypotheses
• Comfortable discussing ideas under technical scrutiny
• Ability to work B2B
• Legal right to provide services (no visa sponsorship)

Nice to have

• Knowledge of stochastic calculus, continuous optimisation, statistical inference
• Familiarity with machine learning applied to financial data
• Experience contributing to trading systems (Rust / low-latency environments)
• Availability for occasional Warsaw / London meetups

Compensation

Flexible depending on scope and contribution:

• hourly rate, or
• fixed compensation per research project / deliverable

Long-term collaboration is possible if the fit is strong.

Selection process

1. Practical research task
2.  Screening Interwiew
3. Quant Research Interview I (Probability & Statistics)
4. On-site Quant Research Interview II (Toy Research + Big data) at Rondo Dashynskiego or Chancery Lane.