At a Glance
- Tasks: Design and develop high-frequency trading systems using C++ or Java.
- Company: Join a leading firm at the forefront of financial technology.
- Benefits: Competitive salary plus benefits, with opportunities for growth.
- Other info: Collaborate with experts and learn about multiple asset classes.
- Why this job: Dive into the world of quantitative finance and make an impact with your ideas.
- Qualifications: PhD in a quantitative field and a passion for problem-solving.
The predicted salary is between 49500 - 60500 £ 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 Ph D 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
Machine Learning Researcher 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.
