Quantitative Researcher – AI/ML Overview
We are seeking a Quantitative Researcher specializing in AI and Machine Learning to join a dynamic team in Central London. This role is permanent and offers a competitive salary ranging from £50,000 to £120,000 GBP, depending on experience.
The organization values research and collaboration, creating an environment where researchers and portfolio managers work closely together. Initially focused on cash equities, the firm has expanded its operations globally, employing a diverse range of strategies across various asset classes. The team is particularly interested in candidates with experience in AI and ML from hedge funds or tech firms who are eager to engage more deeply with research.
Job Details
- Company Name: Anson McCade Recruitment
- Job Role: Quantitative Researcher – AI/ML
- Qualifications: Bachelor’s
- Category: IT Jobs
- Job Type: Full Time
- Location: London
Key Responsibilities
- Utilize datasets to identify trends and patterns in the markets.
- Apply data-driven techniques, including feature engineering, predictive modeling, and machine learning algorithms, to enhance signal generation and improve strategy robustness.
- Translate successful research into production-ready systematic trading strategies, monitoring performance and analyzing results.
- Continuously refine models using new data and insights.
- Contribute to portfolio optimization by developing advanced models, analytical tools, and AI-driven frameworks to assess risk, performance attribution, and portfolio behavior.
- Assist in building scalable research infrastructure and quantitative solutions that enable informed, data-driven investment decisions.
Requirements
- Strong hands‑on experience using Python.
- Experience with C++ or Java is a plus.
- Previous successful candidates have worked at top franchises in leading investment banks or hedge funds.
- Experience in pricing or modeling is preferable.
- Experience in alpha research and signal/strategy development is advantageous.
- A completed or in‑progress Master’s Degree in a quantitative discipline such as Mathematics, Computer Science, Statistics, Physics, or Electrical Engineering.
Benefits
- Competitive compensation package.
- Flat meritocratic structure and collaborative culture.
- Opportunity to invest in the internal fund.
- Excellent scope for career progression within the firm.
- Exposure to various types of strategies and asset classes.
This role offers a unique opportunity to work at the intersection of quantitative research and AI/ML, contributing to innovative trading strategies in a supportive and growth-oriented environment.
Degree Requirement: Bachelor’s
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