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- Tasks: Identify market opportunities, enhance models, and collaborate with traders in a fast-paced environment.
- Company: Five Rings is a dynamic trading firm focused on strategy, innovation, and technology across global markets.
- Benefits: Enjoy a collaborative culture, rapid responsibility growth, and the chance to work with cutting-edge technology.
- Why this job: Join a team that values innovative thinking and offers real-time problem-solving challenges in finance.
- Qualifications: Bachelor's degree in a relevant field and two years of experience in quantitative trading strategies required.
- Other info: Ideal for detail-oriented risk-takers eager to learn and grow in a supportive environment.
The predicted salary is between 43200 - 72000 £ per year.
Experienced/Lateral – Quantitative Researcher
London
About Five Rings
Five Rings is a proprietary trading firm founded with a vision of combining strategy, innovation and technology to succeed in today’s global markets. With offices in New York, Boca Raton, London and Amsterdam, Five Rings trades in various domestic and international markets, both established and esoteric. Our team constantly seeks new opportunities, analyzes their risks and rewards, and creates strategies and tools to capitalize on them.
We have an open culture and encourage the flow of knowledge and ideas between all areas of the firm.
About the Role
Five Rings gives people as much responsibility as possible, as quickly as it can be earned.
- Identify new opportunities in the markets we trade
- Construct or enhance market models
- Develop analyses and simulations
- Implement models in our trading systems
- Test models in real time
- Collaborate with traders and software developers
About You
- Must possess a Bachelor\’s degreein computer science, economics, mathematics, physics, statistics, or another qualifying field.
- Minimum of two years\’ work experience involving the development of quantitative trading strategies.
- Experience conducting data analysis involving large financial datasets to find signals for mid- to high-frequency trading
- Exceptionally mathematically proficient
- Possesses a hunger to work on some of the most complex mathematical problems
- Risk taker and problem solver
- Explores innovative thinking and analytical methodologies
- Extremely detail-oriented and thrives in a fast-paced, highly collaborative environment
- Eager to continue to learn and grow your skills
- Proficiency in statistical languages and/or packages in R, python, or similar.
Applicants are able to apply to multiple positions, but we strongly encourage you to only apply to your top choice.
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Experienced/Lateral - Quantitative Researcher employer: Five Rings LLC - Careers
Contact Detail:
Five Rings LLC - Careers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Experienced/Lateral - Quantitative Researcher
✨Tip Number 1
Network with professionals in the quantitative research field. Attend industry conferences, webinars, or local meetups to connect with people who work at firms like Five Rings. Building relationships can often lead to referrals or insider information about job openings.
✨Tip Number 2
Stay updated on the latest trends and technologies in quantitative trading. Follow relevant blogs, podcasts, and publications to understand what tools and methodologies are currently being used in the industry. This knowledge can help you stand out during interviews.
✨Tip Number 3
Prepare for technical interviews by practising coding challenges and quantitative problem-solving. Use platforms like LeetCode or HackerRank to sharpen your skills in R, Python, or other statistical languages mentioned in the job description.
✨Tip Number 4
Demonstrate your passion for continuous learning. Engage in online courses or certifications related to quantitative finance or data analysis. Mention these in your conversations with recruiters or during interviews to show your commitment to professional growth.
We think you need these skills to ace Experienced/Lateral - Quantitative Researcher
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative research and trading strategies. Emphasise your proficiency in statistical languages like R or Python, and include specific examples of projects where you've developed or enhanced market models.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for quantitative research and your problem-solving skills. Mention your experience with large financial datasets and how you’ve successfully identified trading signals in the past.
Highlight Relevant Skills: In your application, clearly outline your mathematical proficiency and any innovative methodologies you've employed in previous roles. This is crucial for demonstrating your fit for the role at Five Rings.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors. Attention to detail is key, especially in a fast-paced environment like Five Rings. A polished application reflects your professionalism.
How to prepare for a job interview at Five Rings LLC - Careers
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of how you've conducted data analysis on large financial datasets. Be ready to explain the methodologies you used and the outcomes of your analyses, as this will demonstrate your quantitative prowess.
✨Demonstrate Your Problem-Solving Ability
Be prepared to tackle complex mathematical problems during the interview. Practice explaining your thought process clearly, as this will highlight your innovative thinking and ability to solve problems under pressure.
✨Familiarise Yourself with Relevant Technologies
Make sure you are well-versed in statistical languages like R or Python. You might be asked about your experience with these tools, so having practical examples of how you've used them in previous roles will give you an edge.
✨Emphasise Collaboration
Since the role involves working closely with traders and software developers, be ready to discuss your experience in collaborative environments. Share examples of successful teamwork and how you contributed to achieving common goals.
