At a Glance
- Tasks: Design and develop systems using C++ or Java while analysing data.
- Company: Eka Finance is a leading firm in quantitative finance based in London.
- Benefits: Enjoy a competitive salary of £80K plus additional benefits.
- Other info: Experience in financial markets is a bonus but not essential.
- Why this job: Join a dynamic team, grow your skills, and impact high-frequency trading strategies.
- Qualifications: PhD in a quantitative field from a top-tier university required.
The predicted salary is between 43200 - 72000 £ per year.
The group researches, defines, and optimizes high-frequency trading strategies that leverage cutting-edge technology to improve speed and market access to improve their trades.
Working closely with an experienced Quant Strategist, you can utilize your quantitative, research, analytical, and programming skills to gather, house, and analyze data to help optimize existing models. As your experience grows, you will be expected to contribute your own strategy ideas. This is an excellent opportunity to learn about multiple asset classes and high-frequency trading whilst leveraging your current computational skills.
Responsibilities:-
- Designing and developing systems built in C++ or Java
- Utilizing quantitative, research, analytical, and programming skills to gather, house and analyze data
- Contributing strategy ideas as experience grows
- Learning about multiple asset classes and high-frequency trading
Qualifications: Candidates for this opportunity will have a PhD from a top tier University in Computer Science or other quantitative field such as Signal Processing, Data Mining, Mathematics, Operations Research etc..
In addition to a stellar academic record, you will have a track record of professional quantitative or technology achievements.
Ideally, you will have some research experience either in academia or in a research lab. Experience in the financial markets is a plus but not mandatory. A process-driven approach to problem-solving. Intellectual curiosity in quantitative finance.
Compensation: £ Base + benefits
Entry Level PhD Quant Researchers/Programmers-Statistics/ Maths/ Machine Learning-£80K in London employer: Eka Finance
As a leading player in the financial technology sector, our company offers an exceptional work environment in London, where innovation meets collaboration. We pride ourselves on fostering a culture of continuous learning and professional growth, providing employees with access to cutting-edge tools and technologies, as well as opportunities to work alongside industry experts. With competitive compensation and a commitment to work-life balance, we ensure that our team members thrive both personally and professionally while contributing to impactful quantitative research and trading solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Entry Level PhD Quant Researchers/Programmers-Statistics/ Maths/ Machine Learning-£80K in London
✨Tip Number 1
Network with professionals in the finance and tech industries. Attend relevant conferences, workshops, or meetups to connect with people who work at companies like Eka Finance. This can help you gain insights into the company culture and potentially get a referral.
✨Tip Number 2
Familiarise yourself with the latest trends in quantitative finance and machine learning. Follow industry news, read research papers, and engage in online forums to stay updated. This knowledge will not only enhance your understanding but also impress interviewers.
✨Tip Number 3
Prepare for technical interviews by practising coding challenges in C++ or Java. Use platforms like LeetCode or HackerRank to sharpen your programming skills. Being well-prepared will boost your confidence and demonstrate your technical abilities.
✨Tip Number 4
Showcase your passion for quantitative research by working on personal projects or contributing to open-source initiatives. This hands-on experience can set you apart from other candidates and provide concrete examples to discuss during interviews.
We think you need these skills to ace Entry Level PhD Quant Researchers/Programmers-Statistics/ Maths/ Machine Learning-£80K in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your PhD and any relevant quantitative skills, programming languages (like C++ or Java), and research experience. Use keywords from the job description to align your qualifications with what Eka Finance is looking for.
Craft a Strong Cover Letter:In your cover letter, express your passion for quantitative finance and how your academic background and research experience make you a suitable candidate. Mention specific projects or achievements that demonstrate your analytical and programming skills.
Showcase Relevant Projects:If you have worked on any projects related to data analysis, machine learning, or financial markets, be sure to include them in your application. Describe your role, the technologies used, and the outcomes achieved to illustrate your hands-on experience.
Proofread and Edit:Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects attention to detail, which is crucial in quantitative roles.
How to prepare for a job interview at Eka Finance
✨Showcase Your Technical Skills
Be prepared to discuss your programming experience in C++ or Java. Highlight specific projects or research where you applied these skills, and be ready to solve technical problems on the spot.
✨Demonstrate Your Quantitative Knowledge
Since this role requires a strong foundation in statistics and machine learning, brush up on key concepts and be ready to explain how you've applied them in your previous work or studies.
✨Express Your Intellectual Curiosity
Employers are looking for candidates with a genuine interest in quantitative finance. Share examples of how you've pursued knowledge in this area, whether through coursework, research, or personal projects.
✨Prepare Questions About the Role
Having insightful questions ready shows your enthusiasm for the position. Ask about the team dynamics, the types of projects you'll be working on, or how success is measured in the role.
