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- Tasks: Join a dynamic team to implement and optimise trading strategies using C++ and innovative data analysis.
- Company: Eka Finance is a leading UK Fund known for its cutting-edge systematic equity trading.
- Benefits: Enjoy a supportive mentorship environment with opportunities for professional growth and development.
- Why this job: Be part of a collaborative culture that values innovation and offers a chance to impact trading strategies.
- Qualifications: PhD or exceptional Master's in relevant fields; strong programming skills in C++, Perl, or Python required.
- Other info: Candidates graduating in 2018 or recently completed their PhD are encouraged to apply.
The predicted salary is between 28800 - 48000 £ per year.
Leading UK Fund is hiring 3 entry level PhD quant analysts to work in their systematic equity quant trading team.
Role: Initially, you will be mentored by a senior team member and will be responsible for implementing and optimizing existing strategies. You will work on research, design, and C++ implementation of innovative data analysis algorithms and tools, as well as research, back-testing, C++ implementation, and deployment of new trading strategies.
Requirements:
- PhD from a top-tier university in subjects such as Computer Science, Machine Learning, Artificial Intelligence, Statistics, Operations Research, Econometrics, Signal Processing, or Computer Vision. Exceptional Master's students will also be considered.
- Understanding of translating research expertise into the development and optimization of quantitatively driven strategies and trading.
- Experience working with large or noisy data sets.
- Research or internship experience at reputable organizations.
- Strong programming skills in C++, Perl, or Python.
- Demonstrable interest in systematic trading.
- Background in time series analysis, statistics, reinforcement learning algorithms, or portfolio theory.
- Candidates who have completed their PhD this year or are graduating in 2018 are eligible.
Interviews include meetings with senior partners and technical rounds with quants and developers. The environment is excellent with very low turnover. No work visa can be provided for this role.
UK Fund Hiring Entry Level Quant Analysts - Systematic Equity Team employer: Eka Finance
Contact Detail:
Eka Finance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land UK Fund Hiring Entry Level Quant Analysts - Systematic Equity Team
✨Tip Number 1
Network with professionals in the finance and quant analysis sectors. Attend industry conferences, webinars, or local meetups to connect with people who work at firms like Eka Finance. This can help you gain insights into their hiring process and potentially get a referral.
✨Tip Number 2
Brush up on your C++ programming skills, as this is a key requirement for the role. Consider working on personal projects or contributing to open-source projects that involve algorithm development or data analysis to showcase your abilities.
✨Tip Number 3
Prepare for technical interviews by practising common quant interview questions, especially those related to statistics, time series analysis, and reinforcement learning algorithms. Use platforms like LeetCode or HackerRank to sharpen your problem-solving skills.
✨Tip Number 4
Stay updated on the latest trends in systematic trading and quantitative finance. Read relevant research papers, follow industry blogs, and engage in discussions on platforms like LinkedIn to demonstrate your passion and knowledge during interviews.
We think you need these skills to ace UK Fund Hiring Entry Level Quant Analysts - Systematic Equity Team
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences that align with the requirements of the entry-level quant analyst role. Emphasise your programming skills in C++, Perl, or Python, and any research or internship experience you have.
Craft a Strong Cover Letter: Write a compelling cover letter that showcases your passion for systematic trading and your understanding of quantitative strategies. Mention specific projects or research that demonstrate your expertise in data analysis and algorithm implementation.
Highlight Relevant Education: Clearly state your educational background, especially if you hold a PhD or are an exceptional Master's student. Include details about your thesis or any coursework related to machine learning, statistics, or econometrics that would be relevant to the role.
Prepare for Technical Questions: Since interviews will include technical rounds, brush up on your knowledge of time series analysis, reinforcement learning algorithms, and portfolio theory. Be ready to discuss how you've applied these concepts in your previous work or studies.
How to prepare for a job interview at Eka Finance
✨Showcase Your Technical Skills
Make sure to highlight your programming skills in C++, Perl, or Python during the interview. Be prepared to discuss specific projects or experiences where you applied these languages, especially in relation to data analysis or algorithm implementation.
✨Demonstrate Your Research Experience
Since the role requires a strong research background, be ready to talk about your PhD work or any internships. Focus on how your research can translate into developing and optimising trading strategies, and be specific about the methodologies you used.
✨Prepare for Technical Questions
Expect technical rounds with quants and developers, so brush up on your knowledge of time series analysis, statistics, and reinforcement learning algorithms. Practise explaining complex concepts clearly and concisely, as this will demonstrate your understanding and communication skills.
✨Express Your Passion for Systematic Trading
Show genuine enthusiasm for systematic trading and the financial markets. Discuss any relevant projects or personal interests that align with the role, as this will help convey your commitment and fit for the team.
