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For Companies At a Glance
- Tasks: Apply advanced machine learning techniques to financial data and influence trading strategies.
- Company: Join a prestigious firm in London focused on global macro and multi-asset class trading.
- Benefits: Work in a dynamic environment with opportunities for international collaboration and impactful projects.
- Why this job: Shape the future of quantitative trading while working with top-tier professionals in finance.
- Qualifications: Ph.D. in a quantitative field preferred; experience in institutional settings required.
- Other info: International applicants are encouraged; discreet conversations welcome.
The predicted salary is between 48000 - 84000 £ per year.
Job Description
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 finance. Follow relevant publications, blogs, and thought leaders to ensure you can discuss current developments and demonstrate your passion for the field during interviews.
✨Tip Number 3
Prepare to showcase your previous projects and their impact on trading strategies. Be ready to discuss specific examples of how your models have influenced decision-making and portfolio performance in past roles.
✨Tip Number 4
Practice explaining complex technical concepts in simple terms. Since communication is key in this role, being able to articulate your work to non-technical stakeholders will set you apart from other candidates.
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 global perspective and how your expertise aligns with the company's goals. Mention any published research or significant projects that demonstrate your ability to influence trading strategies.
Showcase Technical Skills: Clearly outline your technical skills, particularly your fluency in Python and familiarity with machine learning libraries. Provide examples of how you've used these skills in high-performance computing environments.
Highlight Communication Abilities: Since exceptional communication is crucial for this role, include examples of how you've effectively communicated complex technical concepts to non-technical stakeholders, such as portfolio managers or senior leadership.
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 trends and how they impact multi-asset class strategies. Be ready to discuss how your research can influence trading decisions and portfolio optimisation in a real-world context.
✨Communicate Clearly and Effectively
Practice explaining complex technical concepts in simple terms. You may need to convey your ideas to portfolio managers or senior leadership who may not have a technical background, so clarity is key.
✨Prepare for Behavioural Questions
Expect questions about your collaborative experiences and how you've navigated challenges in team settings. Reflect on past situations where you demonstrated accountability and adaptability, especially in dynamic environments.
