Quant Trader - PM

Marlin Selection; United Kingdom; On-site; GBP 70,000 - 120,000; Full time

Job summary

A leading financial firm is seeking an experienced Quant Trader or Portfolio Manager with a proven track record to run algorithmic and AI-driven trading strategies. The position involves developing and managing trading strategies across global markets, with a competitive compensation structure based on performance and assets under management (AUM).

Benefits

Collaborative environment with resources for optimization

Competitive performance-based compensation

Qualifications

• 5+ years of experience in algorithmic and AI-based trading strategies with a strong performance record.
• Proficiency in Python, R, or C++.
• In-depth knowledge of market microstructure and trading algorithms.

Responsibilities

• Develop and optimize algorithmic trading strategies across multiple asset classes.
• Manage trades based on AI-driven models, focusing on risk management.
• Research models, back-test strategies, and evaluate performance.

Skills

Quantitative analysis

Statistics

Financial modeling

Programming in Python

Programming in R

Programming in C++

Analytical skills

Risk management

Portfolio optimization

Job description

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Location : Flexible

Position Overview : We are seeking an experienced Quant Trader or Portfolio Manager with a proven track record in running algorithmic and AI-driven trading strategies. The ideal candidate will have at least 5 years of successful experience in developing and executing systematic trading strategies across global markets. We are looking to commit AUM to the chosen trading strategy, offering a percentage of the management fee and net profit in return.

Key Responsibilities :

• Develop, implement, and optimize algorithmic trading strategies across multiple asset classes.
• Manage and execute trades based on AI-driven models, ensuring effective risk management and optimization of returns.
• Continuously research and refine models, back-testing strategies, and evaluating performance in live markets.
• Collaborate with internal teams to align trading strategies with broader portfolio goals and risk parameters.
• Provide detailed reporting and analysis of strategy performance, including risk metrics and profitability.
• Maintain and enhance proprietary trading infrastructure, including AI models and algorithmic frameworks.
• Stay updated on the latest trends and technologies in quantitative finance, algorithmic trading, and AI applications.

Qualifications :

• Minimum of 5 years of experience in running algorithmic and AI-based trading strategies with a strong, verifiable performance track record.
• Expertise in quantitative analysis, statistics, and financial modeling.
• Proficiency in programming languages such as Python, R, or C++.
• In-depth knowledge of market microstructure, trading algorithms, and high-frequency trading (HFT).
• Strong analytical skills and experience with back-testing and simulation frameworks.
• Excellent risk management and portfolio optimization skills.
• Ability to work independently and in a collaborative environment.

Preferred Experience :

• Experience managing significant AUM using algorithmic strategies.
• Knowledge of various asset classes, including equities, fixed income, commodities, and FX.
• Proven ability to innovate and adapt strategies based on changing market conditions.

Compensation Structure :

• A percentage of management fees based on AUM committed.
• A percentage of net profit based on performance.

What We Offer :

• The opportunity to scale your trading strategies with committed AUM.
• A collaborative environment with the resources and support to optimize performance.
• Competitive and performance-based compensation structure.