At a Glance
- Tasks: Lead research on high-frequency trading signals and manage a small team of junior researchers.
- Company: Eka Finance is a top global consultancy in quantitative finance recruitment.
- Benefits: Enjoy a dynamic work environment with opportunities for mentorship and career growth.
- Why this job: Join a collaborative team, leverage cutting-edge technology, and make impactful contributions to trading strategies.
- Qualifications: 3+ years in quantitative trading, strong academic background, and proficiency in Python or C++ required.
- Other info: Flexible start date and in-office work in London.
The predicted salary is between 43200 - 72000 £ per year.
A systematic investment team is seeking an experienced Senior Quantitative Researcher to lead and expand its capabilities in alpha research and execution strategy. This role is geared toward individuals with a strong track record (or demonstrated potential) in signal development and high-frequency or short-horizon strategy research. You will work across both alpha modeling and trade implementation research, with the opportunity to manage and mentor a small sub-team within a larger, integrated PM group.
Role Overview:
- Drive research into short-horizon, high-frequency trading signals with typical holding periods of several hours to a few days.
- Take ownership of execution and market microstructure research, helping optimize trading strategy design and implementation.
- Collaborate with a cross-functional team of researchers, technologists, and portfolio managers in a highly iterative, data-driven workflow.
- Build and oversee a small, high-caliber team of junior researchers (2–3 people), contributing to both leadership and hands-on research.
- Leverage a modern research stack that includes distributed computing environments (e.g. AWS, Slurm), large-scale data tools (e.g. kdb+, Exasol), and advanced methods in statistics and machine learning.
Ideal Candidate Will Have:
- 3+ years of experience in a quantitative trading or research role at a hedge fund, proprietary trading firm, or sell-side algo desk.
- Demonstrated contributions to alpha generation or strong potential to do so in a collaborative environment.
- Strong academic credentials (First Class, Honours, MSc or PhD) in a quantitative or technical field such as Mathematics, Statistics, Physics, Computer Science, Engineering, or Finance.
- Familiarity with high-frequency or tick-level data and an ability to derive actionable insights from complex datasets.
- Proficiency in Python or C++; experience with distributed computing and low-latency research environments is advantageous.
- Strong preference for candidates with kdb+/q experience and familiarity with execution protocols such as FIX.
- Confident communicator, able to clearly explain concepts, defend ideas, and work collaboratively with non-research stakeholders.
Senior Quantitative Researcher – Systematic Macro & Execution Alpha | London, UK | In-Office employer: Eka Finance
Contact Detail:
Eka Finance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quantitative Researcher – Systematic Macro & Execution Alpha | London, UK | In-Office
✨Tip Number 1
Familiarise yourself with the latest trends in systematic macro strategies and high-frequency trading. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the quantitative finance space, especially those who have experience in alpha research. Attend relevant meetups or webinars to build connections that could lead to referrals.
✨Tip Number 3
Brush up on your programming skills, particularly in Python and C++. Consider working on personal projects or contributing to open-source projects that involve data analysis or trading algorithms to showcase your abilities.
✨Tip Number 4
Prepare to discuss your past experiences in detail, focusing on how you've contributed to alpha generation or improved trading strategies. Be ready to provide specific examples that highlight your problem-solving skills and collaborative efforts.
We think you need these skills to ace Senior Quantitative Researcher – Systematic Macro & Execution Alpha | London, UK | In-Office
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative research, particularly in high-frequency trading and alpha generation. Use specific examples to demonstrate your contributions and achievements in previous roles.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for quantitative research and your understanding of systematic macro strategies. Mention your familiarity with tools like Python or C++, and how your skills align with the requirements of the role.
Highlight Technical Skills: Emphasise your technical expertise, especially in areas such as distributed computing, machine learning, and data analysis. If you have experience with kdb+/q or execution protocols like FIX, make sure to include this prominently.
Showcase Leadership Experience: If you have experience managing or mentoring teams, be sure to highlight this in your application. Discuss how you've contributed to team dynamics and research outcomes, as the role involves overseeing a small team of junior researchers.
How to prepare for a job interview at Eka Finance
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python or C++, especially in relation to high-frequency trading. Highlight any projects where you've used distributed computing or worked with large datasets, as this will demonstrate your technical prowess.
✨Demonstrate Your Research Experience
Come ready to talk about specific examples of alpha generation or signal development you've been involved in. Use concrete metrics or outcomes to illustrate your contributions and how they impacted trading strategies.
✨Prepare for Collaborative Scenarios
Since the role involves working with cross-functional teams, think of examples where you've successfully collaborated with others. Be ready to explain how you communicate complex ideas to non-technical stakeholders, as this is crucial for the position.
✨Leadership and Mentorship
If you're expected to manage a small team, prepare to discuss your leadership style and any previous mentoring experiences. Share how you would approach guiding junior researchers and fostering a collaborative research environment.