Quant Trader: Systematic Alpha & Risk Ownership

Maven - Trading and Portfolio Management

Greater London

On-site

GBP 120,000 - 170,000

Full time

4 days ago
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Benefits offered by this job

Annual discretionary bonus
Annual leave 25 days
Fully catered meals
Private healthcare
Life assurance
On-site gym
Monthly events

Job summary

Maven Securities in London is seeking a Quant Trader to join the Quantitative Positional Trading team. The role focuses on statistical arbitrage, relative value and alpha generation, with ownership of the end-to-end investment process from idea to trade execution and risk management.

Candidates should have 2+ years in quantitative research or trading, familiarity with Python and SQL, and strong analytical and communication skills to thrive in a collaborative, high-performance environment with

Qualifications

  • 2+ years in quantitative research or trading, derivatives desks preferred
  • Commercial trading mindset with risk ownership
  • Strong communication to enable quick iteration in a fast-moving environment
  • Strong analytical and research capabilities
  • Familiarity with Python and SQL or similar programming languages

Responsibilities

  • Trade and manage risk for systematic strategies and discretionary decisions.
  • Optimize execution systems through parameterisation.
  • Research and backtest alphas across volatility surfaces and relative value trades.
  • Analyze PnL attribution and market dynamics.
  • Collaborate with infra, tech and quant teams to improve models and execution.

Skills

Quantitative trading experience
Quantitative research
Strong communication
Analytical skills

Tools

Python
SQL

Job description

Maven Securities in London is seeking a Quant Trader to join the Quantitative Positional Trading team. The role focuses on statistical arbitrage, relative value and alpha generation, with ownership of the end-to-end investment process from idea to trade execution and risk management.

Candidates should have 2+ years in quantitative research or trading, familiarity with Python and SQL, and strong analytical and communication skills to thrive in a collaborative, high-performance environment with

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