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Quant Trader (Central Risk Book)

JR United Kingdom

Kingston upon Hull

On-site

GBP 60,000 - 90,000

Full time

11 days ago

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Job summary

A leading global trading firm seeks a Quant Trader to design and implement advanced risk management strategies. This role offers a collaborative and high-performance trading environment, competitive compensation, and the opportunity to work with innovative trading technology, all while focusing on optimizing execution and capital efficiency.

Benefits

Collaborative trading environment
Access to cutting-edge trading technology
Career growth opportunities
Competitive compensation

Qualifications

  • Strong background in execution strategies and automated risk management.
  • Industry exposure to Python is essential.
  • Knowledge of equity derivatives and options trading required.

Responsibilities

  • Develop and model internalization and risk optimization strategies across equities.
  • Manage centralized execution risk to ensure capital efficiency.
  • Collaborate with quants and developers to refine trading methodologies.

Skills

Execution strategies
Automated risk management
Python
Portfolio optimization
Delta hedging

Education

STEM degree

Job description

Social network you want to login/join with:

Quant Trader (Central Risk Book), kingston upon hull, east yorkshire

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Client:

CW Talent Solutions

Location:

kingston upon hull, east yorkshire, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

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Job Views:

2

Posted:

04.06.2025

Expiry Date:

19.07.2025

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Job Description:

CW Talent Solutions is partnering with a leading global trading firm to hire an experienced Central Risk Book Trader to drive the build-out of a Cutting Edge CLB Strategy.

The Role:

We are seeking an experienced CRB Trader to design and implement central risk management strategies, working alongside top-tier developers and quant researchers. This is a rare opportunity to refine risk internalization, optimize execution, and enhance firm-wide capital efficiency.

Key Responsibilities:

  • Develop and model internalization and risk optimization strategies across equities
  • Manage centralized execution risk, ensuring capital efficiency and best execution
  • Optimize risk transfer and hedging strategies to reduce market impact
  • Collaborate with quants, developers, and traders to enhance execution methodologies
  • Identify and correct biases in data, ensuring robust strategy performance
  • Engage with exchanges and liquidity providers to refine trading strategies

Preferred Experience:

  • Strong background in execution strategies & automated risk management
  • STEM degree with significant industry exposure to Python
  • Experience in equity derivatives, options trading, and delta hedging
  • Understanding of portfolio optimization & factor models
  • Strategic mindset with a passion for capital efficiency & risk optimization
  • Self-starter who challenges conventional thinking and drives improvement

What’s in it for you?

  • Work in a collaborative, high-performance trading environment
  • Competitive compensation and career growth in a world-class trading firm
  • Access to cutting-edge trading technology and a culture of innovation
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