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For Companies At a Glance
- Tasks: Develop mathematical models and analyse algorithms for high-frequency trading.
- Company: Join a leading finance firm focused on innovative quantitative research.
- Benefits: Enjoy competitive pay, collaborative culture, and opportunities for professional growth.
- Why this job: Be part of a dynamic team solving complex problems with real-world impact.
- Qualifications: PhD in relevant fields and 2+ years in high-frequency trading required.
- Other info: Fluency in LaTeX and programming skills in C++ and Python are essential.
The predicted salary is between 48000 - 72000 £ per year.
Job Description
Role:-
- Developing mathematical models to solve difficult stochastic problems.
- Analyzing convergence and boundedness properties of algorithms and estimates.
- Estimating predictive functions from large data sets.
- Translating your models to fast computational methods.
- Collaborating with researchers and developers to implement all of the above.
Requirements:-
History of peer-reviewed publications in optimization, algorithms, statistics, numerical analysis, signal processing, operations research, or a related field.
You must have 2+ years work experience in high-frequency trading.
Fluency with LaTeX typesetting.
Programming experience with C++ in a UNIX-based environment.
Experience using data analysis tools in Python or R.
PhD in Applied Maths, Computer Science , Statistics , Physics .
Extremely strong problem solving skills.
Apply:-
Please send a Word CV to Sara Hunter at quants@ekafinance.com
High Frequency Fund Hiring 2 Year Quant Researcher employer: Eka Finance
Contact Detail:
Eka Finance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land High Frequency Fund Hiring 2 Year Quant Researcher
✨Tip Number 1
Make sure to showcase your experience in high-frequency trading during any networking opportunities. Attend industry conferences or meetups where you can connect with professionals in the field and discuss your relevant skills.
✨Tip Number 2
Brush up on your programming skills, especially in C++ and Python or R. Consider working on personal projects or contributing to open-source projects that demonstrate your ability to develop algorithms and handle large data sets.
✨Tip Number 3
Engage with academic literature related to optimisation and algorithms. Being well-versed in recent advancements can help you during discussions with potential colleagues and show your commitment to the field.
✨Tip Number 4
Prepare to discuss your previous research and publications in detail. Be ready to explain your methodologies and findings, as this will demonstrate your expertise and problem-solving abilities to the hiring team.
We think you need these skills to ace High Frequency Fund Hiring 2 Year Quant Researcher
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in high-frequency trading and showcases your peer-reviewed publications. Emphasise your programming skills in C++ and your familiarity with LaTeX, as these are crucial for the role.
Showcase Your Skills: In your application, clearly demonstrate your strong problem-solving abilities. Provide specific examples of how you've developed mathematical models or worked with large data sets in previous roles.
Highlight Collaboration Experience: Since the role involves collaborating with researchers and developers, mention any past experiences where you successfully worked in a team environment. This could include projects or research initiatives.
Proofread Your Application: Before sending your application, thoroughly proofread your CV and any accompanying documents. Ensure there are no typos or grammatical errors, as attention to detail is essential in this field.
How to prepare for a job interview at Eka Finance
✨Showcase Your Research
Be prepared to discuss your peer-reviewed publications in detail. Highlight the methodologies you used and the impact of your findings, as this will demonstrate your expertise in optimisation and algorithms.
✨Demonstrate Technical Proficiency
Make sure to brush up on your C++ programming skills, especially in a UNIX-based environment. Be ready to solve coding problems or discuss your previous projects that involved data analysis using Python or R.
✨Prepare for Problem-Solving Questions
Expect to face challenging problem-solving scenarios during the interview. Practice explaining your thought process clearly and logically, as strong problem-solving skills are crucial for this role.
✨Collaborative Mindset
Since collaboration is key in this role, be ready to discuss how you've worked with researchers and developers in the past. Share examples of successful teamwork and how you contributed to achieving common goals.
