Quantitative Trader

AxiomIX AI · Dubai

Hybrid: DubaiFull TimeFinance & Banking
Posted Yesterday

Job description

Responsibilities

  • Manage and optimize an algorithmic, delta-neutral strategies portfolio using high-frequency and medium-frequency models
  • Manage backtest schedules and allocate capital to existing strategies
  • Automate processes to ensure efficiency in model deployment and execution
  • Structure workflows from data cleaning to production-ready pipelines
  • Collaborate with engineering and DevOps teams to optimize infrastructure and connectivity

Requirements

  • Proven live-trading experience with a documented strategy performance record (Sharpe Ratio 3.0+, Daily Capital Turnover 3.0+)
  • Deep understanding of market microstructure, execution optimization, and latency sensitivity
  • Experience with ML pipelines and MLOps tools
  • Familiarity with tools such as Kedro, Optuna, or similar orchestration systems
  • Ability to work independently with minimal onboarding support

Preferred Qualifications

  • Experience trading crypto assets (Binance, Bybit, OKEX, etc.)
  • Knowledge of Rust programming language
  • Expertise in applying AI tools to financial markets
  • Ability to work in the Dubai timezone or willingness to relocate to Dubai

Benefits

  • Competitive PnL share with an above-market payout structure
  • Clear path to leadership roles within the quant division
  • Full autonomy over strategy and research without rigid bureaucracy
  • Access to tier-1 trading infrastructure and low-latency technology stacks
  • Comprehensive relocation package for candidates moving to Dubai

About the Company

AxiomIX AI is a quantitative trading firm focused on high-performance algorithmic strategies. We provide the capital, infrastructure, and collaborative support necessary for talented traders to thrive in a fast-paced, non-siloed environment.

Skills & tools

PythonMachine LearningRust

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 01proven live-trading experience
  2. 02documented strategy performance record
  3. 03ML pipelines and MLOps experience
  4. 04Kedro or Optuna familiarity
  5. 05market microstructure understanding