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For Companies At a Glance
- Tasks: Join a dynamic team to build a cutting-edge algorithmic trading platform from scratch.
- Company: AAA is a forward-thinking trading firm focused on global markets and innovative solutions.
- Benefits: Enjoy a competitive salary, performance bonuses, and the freedom to shape your projects.
- Why this job: This role offers hands-on experience and the chance to make a real impact in finance.
- Qualifications: Experience in Python, C++, or Java is essential; a collaborative mindset is a must.
- Other info: Ideal for those who thrive in a flat structure and enjoy tackling diverse challenges.
The predicted salary is between 43200 - 72000 £ per year.
Job Description
Systematic Equity Portfolio Construction Quantitative Researcher
Location: London
Fund Type: Multi-Strategy Hedge Fund
Team: Systematic Equities / Central Quant
Role Overview
We are looking to hire a Systematic Equity Portfolio Construction Quantitative Researcher to join our systematic equities platform. The role focuses on designing and improving portfolio construction, optimisation, and risk management frameworks for alpha signals generated by machine learning and quantitative research teams.
You will work closely with systematic PMs and researchers to translate predictive signals into robust, scalable portfolios, optimising risk-adjusted returns while accounting for turnover, transaction costs, liquidity, and capacity constraints.
Key Responsibilities
- Design and maintain portfolio construction and optimisation frameworks for systematic equity strategies.
- Translate machine-learning-based alpha signals into investable portfolios with appropriate sizing and risk controls.
- Research and implement risk-aware optimisation techniques (mean-variance, risk parity, CVaR, drawdown-aware and robust optimisation).
- Build cross-sectional and time-series risk models, including factor exposure control and correlation management.
- Develop turnover, transaction cost, and liquidity-aware portfolio construction methods.
- Perform stress testing, scenario analysis, and regime-based risk analysis.
- Partner with PMs to refine signal weighting, portfolio constraints, and rebalancing logic.
- Productionise research in collaboration with engineering and trading teams.
Required Qualifications
- 3–7 years of experience in systematic equity research, portfolio construction, or quantitative risk within a hedge fund, asset manager, or proprietary trading firm.
- Strong academic background in Mathematics, Statistics, Computer Science, Engineering, or a related quantitative discipline.
- Advanced Python skills (NumPy, pandas, SciPy, optimisation libraries); Python is a must.
- Solid understanding of portfolio theory, optimisation, and equity market microstructure.
- Ability to communicate quantitative concepts clearly to PMs.
Preferred Experience
- Experience applying machine learning to portfolio construction, signal blending, or regime detection.
- Familiarity with transaction cost modelling (TCM) and capacity analysis.
- Exposure to multi-PM / pod-based platforms.
- Experience with large-scale data pipelines and research infrastructure.
- Knowledge of alternative risk measures and tail-risk modelling.
What We Offer
- Direct ownership of portfolio construction and risk frameworks for systematic equity strategies.
- Close collaboration with senior systematic PMs and researchers.
- Competitive compensation with strong performance-based upside.
- A highly technical, research-driven environment with real impact.
- Long-term career progression within a leading multi-strategy hedge fund.
Please email your CV to steven@aaaglobal.co.uk if you are interested in this role.
Quantitative Researcher employer: AAA Global
Contact Detail:
AAA Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher
✨Tip Number 1
Network with professionals in the algorithmic trading space. Attend industry conferences, webinars, or local meetups to connect with traders and quants. Building relationships can lead to valuable insights and potential referrals.
✨Tip Number 2
Showcase your technical skills through personal projects or contributions to open-source platforms. Demonstrating your ability to design research platforms or trading systems will make you stand out to hiring managers.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to discuss how you've translated complex business needs into technical solutions in past roles, as this is crucial for the position.
✨Tip Number 4
Familiarise yourself with the latest trends in quantitative research and algorithmic trading. Being knowledgeable about current market conditions and emerging technologies will demonstrate your passion and commitment to the field.
We think you need these skills to ace Quantitative Researcher
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly understand the responsibilities and requirements of a Quantitative Researcher. Familiarise yourself with algorithmic trading, research platforms, and the technical skills needed, such as Python, C++, or Java.
Tailor Your CV: Craft your CV to highlight relevant experience in quantitative research and algorithmic trading. Emphasise any hands-on experience you have with designing research platforms and contributing to trading systems, as well as your ability to collaborate with both technical and non-technical stakeholders.
Write a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the firm. Discuss how your background aligns with their needs, particularly your intellectual flexibility and initiative in varied projects. Use specific examples to demonstrate your problem-solving skills and technical expertise.
Proofread and Edit: Before submitting your application, carefully proofread your documents. Check for any grammatical errors or typos, and ensure that your writing is clear and concise. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at AAA Global
✨Showcase Your Technical Skills
As a Quantitative Researcher, it's crucial to demonstrate your proficiency in programming languages like Python, C++, or Java. Be prepared to discuss specific projects where you've applied these skills, especially in designing research platforms or contributing to trading systems.
✨Understand the Business Context
Make sure you can translate complex business needs into technical solutions. Research the firm’s trading strategies and be ready to discuss how your work can align with their goals. This shows that you’re not just technically savvy but also understand the bigger picture.
✨Emphasise Collaboration
This role requires close collaboration with traders, quants, and non-technical stakeholders. Share examples of past experiences where you successfully worked in a team, highlighting your ability to communicate effectively across different disciplines.
✨Demonstrate Intellectual Flexibility
The firm values a low-ego, high-impact mindset. Be prepared to discuss situations where you adapted to changing circumstances or took initiative on varied projects. This will show that you can thrive in a flat structure and are willing to wear multiple hats.
