Front-Office Quant Developer: Real-Time Trading Tech & AI

Mondrian Alpha

Greater London

On-site

GBP 120,000 - 180,000

Full time

22 hours ago
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Job summary

Mondrian Alpha, a leading hedge fund, seeks a Quantitative Strategist to join its Front Office Quantitative Development & Strategy team in London. You will collaborate with Portfolio Managers to build tools for trading, alpha generation and risk management across a multi-asset platform.

The role covers real-time P&L and risk systems, AI-enhanced research workflows and close collaboration with stakeholders to translate complex investment problems into scalable software solutions.

Qualifications

  • Advanced degree in Mathematics, Physics, Engineering, CS or Mathematical Finance.
  • Strong Python development with Pandas/NumPy.
  • Experience building quantitative research, trading or risk systems.

Responsibilities

  • Design and develop real-time P&L and risk systems for front-office trading.
  • Build interactive analytics and decision-support tools for PMs and investment teams.
  • Implement quantitative trading signals across multiple asset classes.
  • Develop research tooling, backtesting frameworks and models for alpha generation.
  • Apply AI and machine learning to improve research workflows and risk management.
  • Translate complex investment problems into scalable software solutions.

Skills

Python
Pandas
NumPy
SQL
C#
R
AI/ML interest
Quantitative research

Education

Advanced degree in a quantitative field

Tools

Backtesting frameworks
Real-time analytics

Job description

Mondrian Alpha, a leading hedge fund, seeks a Quantitative Strategist to join its Front Office Quantitative Development & Strategy team in London. You will collaborate with Portfolio Managers to build tools for trading, alpha generation and risk management across a multi-asset platform.

The role covers real-time P&L and risk systems, AI-enhanced research workflows and close collaboration with stakeholders to translate complex investment problems into scalable software solutions.

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