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- Tasks: Conduct quantitative research and develop trading strategies using statistical methods.
- Company: Join a leading firm in London focused on innovative financial solutions.
- Benefits: Enjoy competitive pay, collaborative environment, and opportunities for professional growth.
- Why this job: Be part of a dynamic team that values creativity and data-driven decision-making.
- Qualifications: PhD in a quantitative field and experience with programming and large data sets required.
- Other info: Ideal for those passionate about finance and technology.
The predicted salary is between 43200 - 72000 £ per year.
Role:- Researchers are responsible for conducting quantitative research using statistical and predictive modelling techniques. Research and implement various trading strategies Identify new trading opportunities by using statistical methods and analysing large data sets Ensure that all data and related processes are prepared and check over strategies that have been implemented as well as tracking their behaviour Work closely with other researchers to develop and continuously improve upon mathematical models, and help translate algorithms into code Requirements:- Experience of researching, or implementing quantitative models for equities, futures, and/or FX. Cross asset experience is ideal. PhD in Maths, Stats, Physics, Computer Science, or other quantitative discipline. Demonstrated ability to conduct independent research utilizing large data sets Programming in any of the following: C++, Java, , Python. Detail-oriented
Cross Asset Alpha Researcher/ London / $ Hig employer: Eka Finance
Contact Detail:
Eka Finance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cross Asset Alpha Researcher/ London / $ Hig
✨Tip Number 1
Make sure to showcase your experience with quantitative models in your conversations. Be ready to discuss specific projects where you've successfully implemented trading strategies or analyzed large data sets.
✨Tip Number 2
Network with professionals in the finance and quantitative research fields. Attend relevant meetups or conferences in London to connect with potential colleagues and learn about the latest trends in cross asset research.
✨Tip Number 3
Brush up on your programming skills, especially in Python, C++, or Java. Being able to demonstrate your coding abilities during discussions can set you apart from other candidates.
✨Tip Number 4
Stay updated on market trends and recent developments in quantitative finance. This knowledge will not only help you in interviews but also show your passion for the field and your commitment to continuous learning.
We think you need these skills to ace Cross Asset Alpha Researcher/ London / $ Hig
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your experience in researching or implementing quantitative models, especially for equities, futures, and FX. Mention any cross-asset experience you have, as this is ideal for the role.
Showcase Your Education: Clearly state your educational background, particularly if you hold a PhD in Maths, Stats, Physics, Computer Science, or another quantitative discipline. This will demonstrate your qualifications for the position.
Detail Your Technical Skills: List your programming skills, specifically in C++, Java, or Python. Provide examples of how you've used these languages in your research or projects to show your technical proficiency.
Demonstrate Independent Research Ability: Include examples of independent research you've conducted utilizing large data sets. Highlight any statistical methods or predictive modeling techniques you've employed to identify trading opportunities.
How to prepare for a job interview at Eka Finance
✨Showcase Your Quantitative Skills
Be prepared to discuss your experience with quantitative models, especially in equities, futures, or FX. Highlight specific projects where you successfully implemented these models and the impact they had.
✨Demonstrate Your Programming Proficiency
Since programming is crucial for this role, be ready to talk about your experience with C++, Java, or Python. You might even be asked to solve a coding problem during the interview, so practice common algorithms and data structures.
✨Discuss Your Research Methodology
Explain your approach to conducting independent research using large data sets. Be specific about the statistical methods you use and how you analyze data to identify trading opportunities.
✨Collaborative Mindset
This role involves working closely with other researchers. Share examples of how you've collaborated on projects in the past, focusing on how you contributed to developing and improving mathematical models.
