Quant Trade Researcher - Build & Deploy Live Alpha

ALGOQUANT

United States

On-site

USD 180,000 - 290,000

Full time

5 days ago
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Job summary

AlgoQuant Asset Management is hiring Quant Trade Researchers at 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. This role is for people who live in data, mathematics, and code, relentlessly analytical,

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

Responsibilities

  • 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

Skills

Python
C++
Rust
Statistical learning
Machine learning
Deep learning
Backtesting

Education

PhD in maths/physics/CS
Olympiad medallist

Tools

Kaggle
_transformers
Reinforcement learning

Job description

AlgoQuant Asset Management is hiring Quant Trade Researchers at 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. This role is for people who live in data, mathematics, and code, relentlessly analytical,

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