At a Glance
- Tasks: Join us to design and develop high-frequency trading systems using C++ or Java.
- Company: Be part of a cutting-edge firm focused on optimising trading strategies with advanced technology.
- Benefits: Enjoy competitive pay, benefits, and the chance to work with innovative tech.
- Why this job: Gain hands-on experience in quantitative finance while contributing your own strategy ideas.
- Qualifications: PhD in Computer Science or a related field; research experience preferred but not essential.
- Other info: Ideal for those passionate about data analysis and financial markets.
The predicted salary is between 43200 - 72000 £ per year.
Job Description
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
Contact Detail:
Eka Finance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Specialist
✨Tip Number 1
Familiarise yourself with high-frequency trading concepts and strategies. Understanding the nuances of this field will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Brush up on your programming skills, particularly in C++ or Java. Being able to discuss your coding experience and how it relates to quantitative analysis will set you apart from other candidates.
✨Tip Number 3
Network with professionals in the quantitative finance space. Attend relevant meetups or webinars to connect with industry experts who can provide insights and potentially refer you to opportunities at StudySmarter.
✨Tip Number 4
Stay updated on the latest trends in quantitative finance and technology. Being knowledgeable about current events and advancements in the field will show your commitment and enthusiasm for the role.
We think you need these skills to ace Quant Specialist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your quantitative skills, programming experience in C++ or Java, and any relevant research or academic achievements. Emphasise your PhD and any projects that relate to high-frequency trading or data analysis.
Craft a Strong Cover Letter: In your cover letter, express your passion for quantitative finance and high-frequency trading. Mention specific experiences that demonstrate your analytical skills and problem-solving abilities. Show how your background aligns with the responsibilities of the Quant Specialist role.
Showcase Relevant Projects: If you have worked on any projects related to quantitative analysis, data mining, or financial modelling, be sure to include these in your application. Describe your role, the technologies used, and the outcomes achieved to illustrate your capabilities.
Highlight Intellectual Curiosity: Demonstrate your intellectual curiosity in quantitative finance by mentioning any additional courses, certifications, or self-study you've undertaken. This shows your commitment to continuous learning and staying updated in the field.
How to prepare for a job interview at Eka Finance
✨Showcase Your Technical Skills
Be prepared to discuss your programming experience, especially in C++ or Java. Highlight any projects or research where you've applied these skills, as this will demonstrate your capability to design and develop systems relevant to the role.
✨Demonstrate Quantitative Knowledge
Brush up on key concepts in quantitative finance, data analysis, and high-frequency trading. Be ready to explain how your academic background and any research experience relate to the responsibilities of the position.
✨Prepare Strategy Ideas
Think about potential trading strategies you could propose based on your understanding of market dynamics. This shows initiative and a willingness to contribute, which is crucial as you grow in the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's trading strategies, technology stack, and team dynamics. This not only shows your interest but also helps you gauge if the company aligns with your career goals.