Quantitative Trader

H&P Executive Search; Greater London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a Quant Finance Associate to join their dynamic team. This role offers the chance to work at the forefront of quantitative trading, where you'll design and optimize cutting-edge trading strategies using AI and machine learning. You'll leverage vast datasets to drive decision-making and enhance execution speed. If you have a proven track record in alpha generation and a passion for quantitative research, this is an exciting opportunity to make a significant impact in a fast-paced environment. Join a company that values innovation and collaboration, and take your career to the next level.

Qualifications

• Proven track record of alpha generation in trading.
• Deep understanding of AI/ML and quantitative techniques.

Responsibilities

• Design and optimize mid/high-frequency trading strategies.
• Leverage large datasets to uncover alpha signals.
• Integrate AI/ML models into trading workflows.

Skills

Python

C++

AI and machine learning algorithms

Quantitative research

Market microstructure

Education

Degree in Finance, Mathematics, or related field

Job description

2 weeks ago Be among the first 25 applicants

Direct message the job poster from H&P Executive Search

Quant Finance Associate at H&P Executive Search

My client is a globally recognised quantitative proprietary trading firm with a dominant presence across major markets. They combine rigorous quantitative research, ultra-low latency technology, and robust risk management to deploy mid and high-frequency strategies across asset classes, including equities, fixed income, commodities, and FX.

The firm is expanding its team of Quantitative Traders with a particular interest in those who bring Alpha-generating strategies powered by AI/ML and advanced statistical learning techniques.

Key Responsibilities

• Design, develop, and optimise mid/high-frequency trading strategies using quantitative and machine learning techniques.
• Leverage large-scale, high-frequency datasets to uncover alpha signals and drive decision-making.
• Integrate AI/ML models into trading workflows.
• Model and analyse market microstructure across global exchanges to improve execution and reduce slippage.
• Work closely with low-latency engineers to enhance execution speed and infrastructure efficiency.

Who They’re Looking For

• Proven track record of alpha generation:
• Strong proficiency in Python, C++, or other relevant languages.
• Deep understanding of AI and machine learning algorithms, including time series modeling, feature engineering, and model interpretability.
• Experience with market microstructure, order book dynamics, and execution strategies.
• Background in quantitative research, algorithmic trading, or data science.
• Self-sufficient strategy owners and collaborative team players are both encouraged to apply.

If you're a Quantitative Trader with a scalable, proven strategy, particularly one enhanced by AI/ML techniques, please apply and a consultant will contact you shortly.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Finance

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