At a Glance
- Tasks: Develop systematic investment strategies and conduct quantitative research for ETFs.
- Company: Leading European ETF and systematic investment platform based in London.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Collaborative team culture with exposure to machine learning techniques and European markets.
- Why this job: Make a real impact in finance with cutting-edge research and innovative investment strategies.
- Qualifications: 2+ years in quantitative research, strong Python and SQL skills, and a relevant master's degree.
The predicted salary is between 60000 - 80000 € per year.
We are partnering with a leading European ETF and systematic investment platform to hire a Quantitative Research Specialist for its London-based European Research team. This is a high-impact role focused on developing systematic investment strategies and quantitative research that directly feeds into ETF design, portfolio solutions, and investor-facing insights across European markets. The successful candidate will contribute to expanding the firm’s quantitative research capabilities, helping to design, test, and scale investment ideas across equities, macro, commodities, and multi-asset strategies. A key part of the role will also involve producing detailed, distribution-ready research that articulates the investment rationale behind existing and new strategies.
Key responsibilities include:
- Supporting the research team in day-to-day quantitative analysis and strategy development
- Designing and testing systematic investment strategies across multiple asset classes
- Building and improving data infrastructure and quantitative research tools (Python/SQL-based)
- Conducting rigorous analysis of financial and alternative datasets, including potential use of machine learning techniques
- Producing high-quality, client-facing research that communicates investment ideas clearly and effectively
- Collaborating with internal teams to support product development and enhance research visibility across European markets
Candidate profile:
- 2+ years’ experience in quantitative research, systematic investing, asset management, index research, or related financial markets roles
- Strong programming skills in Python and SQL
- Solid grounding in financial mathematics, derivatives, and portfolio theory
- Experience working with financial and/or alternative datasets
- Familiarity with Bloomberg, Morningstar, or similar market data platforms
- Master’s degree (or equivalent) in Finance, Mathematics, Computer Science, Engineering, or a related quantitative discipline
- Exposure to machine learning or data science techniques is highly desirable
Additional advantages:
- Professional proficiency in one or more European languages (e.g. French, German, Italian) is highly advantageous, reflecting the pan-European nature of the role and the need to support regional research distribution and client engagement
- This role is well-suited to candidates from systematic asset managers, ETF providers, index firms, or quantitative research teams seeking a blend of rigorous research, investment strategy development, and real-world commercial application across European markets.
Apply: Please send a PDF CV to mailto:quants@ekafinance.com
Quant Investment Strategist / London employer: Eka Finance
As a leading European ETF and systematic investment platform, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. Our London-based team offers exceptional growth opportunities through hands-on experience in quantitative research and strategy development, while our commitment to employee well-being is reflected in our comprehensive benefits package and supportive environment. Join us to be part of a forward-thinking organisation where your contributions directly impact the investment landscape across Europe.
StudySmarter Expert Advice🤫
We think this is how you could land Quant Investment Strategist / London
✨Tip Number 1
Network like a pro! Reach out to professionals in the industry through LinkedIn or local meetups. We can’t stress enough how valuable personal connections can be in landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative research projects or any systematic investment strategies you've developed. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practising common quantitative finance questions and being ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Quant Investment Strategist / London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Quant Investment Strategist. Highlight your experience in quantitative research and systematic investing, and don’t forget to showcase your programming skills in Python and SQL!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about quantitative research and how your background aligns with the responsibilities outlined in the job description. Keep it concise but impactful.
Showcase Relevant Projects:If you've worked on any projects that involved designing or testing investment strategies, make sure to include them. This will demonstrate your hands-on experience and understanding of the financial markets, which is crucial for this role.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Eka Finance
✨Know Your Quant Basics
Brush up on your financial mathematics, derivatives, and portfolio theory. Be ready to discuss how these concepts apply to systematic investment strategies, as this will show your depth of understanding and relevance to the role.
✨Showcase Your Programming Skills
Prepare to demonstrate your Python and SQL skills during the interview. You might be asked to solve a problem or explain how you've used these languages in past projects, so have some examples ready that highlight your technical prowess.
✨Research the Company and Market
Familiarise yourself with the company’s existing investment strategies and recent market trends. Being able to discuss how your skills can contribute to their goals will set you apart and show your genuine interest in the role.
✨Prepare Client-Facing Research Examples
Since producing high-quality, client-facing research is key, bring along examples of your previous work. Be prepared to explain your thought process and how you communicated complex ideas clearly, as this will demonstrate your ability to articulate investment rationales effectively.
