Quant Trade Researcher

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Quant Trade Researcher at AlgoQuant Asset Management designes, tests, and deploys systematic trading strategies across digital asset markets. Own research end-to-end from first principles to production, collaborating with portfolio managers and engineers to ship live signals within weeks. Role suits data, mathematics, and code enthusiasts who thrive on solving unsolved problems, with opportunities from junior to senior levels.

Location: United Arab Emirates, United Kingdom, United States

Workplace: Remote

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Key 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.

Key Requirements

•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.

Experience:Digital assetsQuantitative financeCryptocurrency

Education:PhD / Doctorate

Skills:Problem-solvingAttention to detailCollaborationCommunication

Languages:English

Tech Stack:PythonC++RustMachine learningTransformersReinforcement learningBacktestingSQL

Company Brief

Algo Quant

Provides algorithmic trading and quantitative research tools for digital asset markets, offering automated strategies, backtesting, and execution infrastructure for institutional and professional traders.

Industry: Trading Platforms

Website

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Algo Quant

1 month ago

Quant Trade Researcher

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: United Arab Emirates, United Kingdom, United States

Workplace: Remote

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Key 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.

Key Requirements

•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.

Experience:Digital assetsQuantitative financeCryptocurrency

Education:PhD / Doctorate

Skills:Problem-solvingAttention to detailCollaborationCommunication

Languages:English

Tech Stack:PythonC++RustMachine learningTransformersReinforcement learningBacktestingSQL

Company Brief

Algo Quant

Industry: Trading Platforms

Website