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- Tasks: Join a team to apply machine learning in global financial markets and influence trading strategies.
- Company: A prestigious quantitative firm in London, focused on innovative financial solutions.
- Benefits: Opportunity for international applicants, collaborative culture, and impactful projects.
- Why this job: Shape the future of trading with your expertise and make a real-world impact.
- Qualifications: Ph.D. in a quantitative field preferred; experience in institutional settings required.
- Other info: Discreet conversations welcome; connect directly for more information.
The predicted salary is between 48000 - 72000 £ 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 learn about the latest trends in quantitative finance.
✨Tip Number 2
Showcase your expertise by contributing to open-source projects or publishing articles on platforms like Medium or LinkedIn. This will demonstrate your knowledge of machine learning applications in finance and help you stand out to hiring managers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and familiarising yourself with machine learning libraries. Practice coding challenges that focus on algorithm design and data manipulation relevant to financial datasets.
✨Tip Number 4
Research StudySmarter's current projects and values. Understanding our mission and how your skills align with our goals can help you articulate your fit during informal conversations or interviews.
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 models for global macro or multi-asset strategies, and quantify your achievements to demonstrate impact.
Craft a Compelling Cover Letter: In your cover letter, express your passion for applying machine learning in financial markets. Discuss how your background aligns with the job requirements and mention any published research or significant projects that showcase your expertise.
Showcase Technical Skills: Clearly outline your technical skills, especially your proficiency in Python and machine learning libraries. Mention any experience with version control systems like Git and high-performance computing environments, as these are crucial for the role.
Highlight Communication Abilities: Since exceptional communication is key, provide examples of how you've effectively communicated complex technical concepts to non-technical stakeholders. This could include experiences presenting to 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 clearly.
✨Demonstrate Your Understanding of Financial Markets
Familiarise yourself with global macroeconomic trends and how they impact multi-asset class trading. Be ready to discuss how your machine learning expertise can contribute to portfolio optimisation and alpha signal generation.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about how you would approach model validation and risk management in a highly regulated environment.
✨Communicate Effectively
Practice explaining complex technical concepts in simple terms. You may need to convey your ideas to portfolio managers or senior leadership, so clarity and confidence in your communication are key.
