Quant Trade Researcher — Systematic Alpha for Digital Assets

ALGOQUANT; Eu; Sur place; EUR 103 000 - 181 000; Plein temps

Résumé du poste

AlgoQuant Asset Management is hiring Quant Trade Researchers at both junior and senior levels to design, test, and deploy systematic trading strategies across digital asset markets. You will generate ideas from first principles, validate them with rigorous statistics, and ship signals into live capital, in weeks, not quarters.

You will work directly with portfolio managers and engineers who move at your pace.

Qualifications

• Exceptional mathematical, statistical, or scientific pedigree Olympiad medallists, PhDs, and top-decile graduates in maths, physics, computer science, or equivalent.
• Deep understanding of statistical learning, classical machine learning, and deep learning; strong experience implementing a wide range of models, including boosting algorithms, transformers, and reinforcement learning.
• Strong programming ability, Python required, C++ or Rust a plus
• Relentless curiosity and high agency, someone who cannot walk away from an unsolved problem
• Comfort owning research end-to-end without hand-holding
• For junior candidates: a research track record strong enough that we would hire on potential, papers, Kaggle wins, competitive programming results, or systematic trading experiments
• For senior candidates: a live, attributable track record in systematic trading; crypto exposure a strong plus
• A genuinely paranoid eye for data quality and bias, not comfortable until every result has a clear explanation
• A genuine love for the subject, not just the paycheque

Responsabilités

• Generate and test systematic trading hypotheses across spot, derivatives, and on-chain markets
• Build, validate, and maintain live alpha signals and execution models
• Run rigorous backtests, guarding against lookahead, data-leakage, and overfitting
• Analyse microstructure, order flow, and cross-venue dynamics to improve portfolio construction
• Collaborate with engineers to move research from notebook to production
• Monitor live strategy performance and iterate quickly on results
• Contribute to shared research infrastructure, tools, datasets, and code

Connaissances

Python programming

Statistics

Machine learning

Quantitative research

Formation

PhD or equivalent in maths/physics/CS

Outils

C++

Rust

Description du poste

AlgoQuant Asset Management is hiring Quant Trade Researchers at both junior and senior levels to design, test, and deploy systematic trading strategies across digital asset markets. You will generate ideas from first principles, validate them with rigorous statistics, and ship signals into live capital, in weeks, not quarters.

You will work directly with portfolio managers and engineers who move at your pace.