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- Tasks: Join a team to apply machine learning in global financial markets and influence trading strategies.
- Company: A prestigious firm in London focused on quantitative finance and innovative trading solutions.
- Benefits: Opportunity for international applicants, collaborative culture, and impactful projects.
- Why this job: Shape the future of trading while working with cutting-edge technology and a global perspective.
- Qualifications: Ph.D. preferred; 4+ years in quantitative finance with strong Python and ML skills required.
- Other info: Discreet conversations welcome; apply directly via email or website.
The predicted salary is between 54000 - 84000 £ per year.
Location: London, UK
Domain Focus: Global Macro, Multi-Asset Class Alpha Signal Generation, Portfolio Optimisation
Experience: 4+ years experience in a top-tier quantitative firm.
International Talent: Yes, international applicants are encouraged.
These roles are for a professional with a global perspective, ready to apply their sophisticated expertise in machine learning to London’s prestigious financial markets.
Are you interested in joining environments where your research will directly influence strategies with a substantial AUM? Individuals who are seeking to combine intellectual rigor with real-world impact, shaping the future of quantitative and discretionary trading should take this opportunity seriously.
🔷 The Profile – Your Expertise
We’re looking for professionals with a global perspective, skilled in applying advanced machine learning techniques to financial data. They have a demonstrable history of developing and deploying sophisticated models in institutional settings, with deep expertise in risk management and the ability to integrate cutting-edge research into scalable, robust trading platforms that meet the highest standards of institutional finance.
Career Path:
- Career trajectories focused on applying ML to solve complex problems in global, institutional trading environments.
- Histories of delivering high-impact projects that directly influence multi-million-dollar portfolios.
Projects And Performance:
- Experience developing models for global macro, equity, or FX strategies within highly regulated environments.
- Proven records of backtesting and validating models against diverse historical and real-time datasets.
Professional Skills:
- Exceptional communication abilities to explain technical complexities and risk profiles to portfolio managers and senior leadership.
- Expertise in project management within formal, institutional frameworks.
Technical Prowess:
- Fluency in Python with strong command of machine learning libraries.
- Familiarity with production-level code, version control (e.g., Git), and high-performance computing environments.
- Contributions to the development of systematic trading strategies that have been successfully deployed.
- Histories of rigorous model validation and performance analysis, with emphasis on avoiding overfitting and managing risk.
Qualifications, Licenses And Academic Achievements:
- Ph.D. in a quantitative field highly preferred.
- Published research in top-tier academic journals or conferences is a significant plus.
🔷 Who You Are And What We Need
- Collaborative professionals who thrive in sophisticated, multi-disciplinary team settings.
- Fit cultures that value intellectual honesty, institutional stability, and a global perspective.
- Highly motivated individuals with strong accountability and commitment to institutional-grade research and implementation.
- Adaptable mindsets, capable of navigating dynamic regulatory and market environments in global financial hubs.
If you\’re ready to lead with conviction and build something enduring, we want to hear from you.
Apply Above Or Connect Directly:
info@aaaglobal.co.uk | www.aaaglobal.co.uk
Discreet conversations are always welcome (if concerned contact us directly)
Machine Learning Researcher | London, UK employer: AAA Global
Contact Detail:
AAA Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Researcher | London, UK
✨Tip Number 1
Network with professionals in the financial and machine learning sectors. Attend industry conferences, webinars, or meetups in London to connect with potential colleagues and mentors who can provide insights into the role and company culture.
✨Tip Number 2
Stay updated on the latest trends in machine learning and quantitative finance. Follow relevant publications, blogs, and forums to understand the current challenges and innovations in the field, which will help you engage in meaningful conversations during interviews.
✨Tip Number 3
Prepare to discuss your past projects in detail, especially those that involved model development and validation. Be ready to explain your thought process, the challenges you faced, and how your work impacted portfolio performance.
✨Tip Number 4
Demonstrate your communication skills by practising how to explain complex technical concepts in simple terms. This is crucial for conveying your ideas to non-technical stakeholders, such as portfolio managers and senior leadership.
We think you need these skills to ace Machine Learning Researcher | London, UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and quantitative finance. Focus on specific projects where you've developed and deployed models, especially those relevant to global macro or multi-asset strategies.
Craft a Compelling Cover Letter: In your cover letter, emphasise your collaborative nature and ability to thrive in multi-disciplinary teams. Discuss how your expertise aligns with the company's focus on institutional-grade research and implementation.
Showcase Your Technical Skills: Clearly outline your proficiency in Python and any machine learning libraries you’ve used. Mention your experience with version control systems like Git and any contributions to systematic trading strategies.
Highlight Your Research Contributions: If you have published research, make sure to include this in your application. Highlight any significant findings or contributions to top-tier journals, as this will demonstrate your commitment to advancing the field.
How to prepare for a job interview at AAA Global
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in Python and machine learning libraries. Bring examples of past projects where you developed and deployed models, and be ready to explain the technical details and challenges you faced.
✨Demonstrate Your Understanding of Financial Markets
Familiarise yourself with global macroeconomic factors and how they influence multi-asset class strategies. Be ready to discuss how your machine learning expertise can be applied to optimise portfolios and generate alpha signals.
✨Communicate Clearly and Effectively
Exceptional communication skills are crucial. Practice explaining complex technical concepts in simple terms, as you may need to convey your ideas to portfolio managers and senior leadership who may not have a technical background.
✨Prepare for Questions on Risk Management
Expect questions about your experience with risk management and model validation. Be ready to discuss how you've avoided overfitting in your models and how you ensure robustness in your trading strategies.
