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- Tasks: Develop and implement cutting-edge quantitative trading strategies in cash equity markets.
- Company: Join a leading global hedge fund known for its high-performance teams.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and innovation.
- Why this job: Make a real impact while collaborating with top professionals in finance and technology.
- Qualifications: Experience in quantitative development, strong C++/Python skills, and a relevant degree required.
- Other info: This role offers a chance to work on advanced algorithms and market data analysis.
The predicted salary is between 43200 - 72000 £ per year.
A leading global hedge fund is seeking a Quantitative Developer to join its high-performing Cash Equities team. The role involves developing and implementing quantitative trading strategies with a focus on cash equity markets. You will work closely with Portfolio Managers and quantitative traders, leveraging advanced algorithms, statistical models, and market data analysis to build and refine strategies deployed in production environments.
Key Responsibilities:
- Develop and implement quantitative models and algorithms that drive trading decisions in cash equities.
- Optimise strategy performance through innovative model development.
- Partner with traders to analyse market dynamics, interpret valuations, and design next-generation models and analytics tailored to cash equity markets.
- Contribute to the high-level architecture and optimisation of C++ and Python-based models used in various equity strategies.
- Work closely with research teams to continuously enhance trading models and translate complex algorithms into efficient, production-ready code.
Skillset Requirements:
- Proven experience in a quantitative development or software engineering role within a cash equities trading environment.
- Expertise in applying advanced quantitative techniques to solve complex, data-driven problems.
- Strong programming proficiency in C++ and/or Python, with a focus on high-performance, scalable systems.
- Bachelor\’s or Master\’s degree in Computer Science, Engineering, Mathematics, or a related field.
This is a unique opportunity to make an impact in a leading hedge fund\’s Cash Equities team, working alongside industry-leading professionals in a fast-paced environment. If you\’re a talented Quant Developer with experience in cash equities and a passion for financial markets, apply now to further your career in one of the industry’s most exciting roles.
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Information Technology, Finance, and Engineering
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Industries
Financial Services, Engineering Services, and Capital Markets
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Contact Detail:
Algo Capital Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer - Cash Equities
✨Tip Number 1
Familiarise yourself with the latest trends and technologies in quantitative trading, especially those related to cash equities. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Network with professionals in the hedge fund industry, particularly those working in quantitative roles. Attend relevant meetups or webinars to connect with potential colleagues and gain insights into the company culture and expectations.
✨Tip Number 3
Brush up on your C++ and Python skills, focusing on high-performance programming techniques. Consider working on personal projects or contributing to open-source projects that showcase your ability to develop scalable systems.
✨Tip Number 4
Prepare for technical interviews by practising problem-solving with a focus on quantitative finance scenarios. Use platforms like LeetCode or HackerRank to sharpen your coding skills and tackle algorithmic challenges relevant to the role.
We think you need these skills to ace Quantitative Developer - Cash Equities
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly understand the responsibilities and requirements of the Quantitative Developer position. Familiarise yourself with cash equity markets and the specific skills needed, such as C++ and Python programming.
Tailor Your CV: Customise your CV to highlight relevant experience in quantitative development and software engineering. Emphasise your expertise in cash equities and any projects that demonstrate your ability to develop and implement trading strategies.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for financial markets and your understanding of the role. Mention specific experiences that align with the job description, particularly your work with algorithms and market data analysis.
Highlight Technical Skills: In your application, clearly outline your programming proficiency in C++ and Python. Provide examples of how you've used these languages to solve complex problems or optimise trading strategies in previous roles.
How to prepare for a job interview at Algo Capital Group
✨Showcase Your Technical Skills
Be prepared to discuss your programming proficiency in C++ and Python. Bring examples of past projects where you developed quantitative models or algorithms, and be ready to explain the technical challenges you faced and how you overcame them.
✨Understand Market Dynamics
Familiarise yourself with cash equity markets and current trends. Be ready to discuss how you would analyse market dynamics and interpret valuations, as this will demonstrate your understanding of the role and its responsibilities.
✨Prepare for Problem-Solving Questions
Expect to face complex, data-driven problems during the interview. Practice solving quantitative problems and be ready to explain your thought process clearly. This will showcase your analytical skills and ability to apply advanced techniques.
✨Collaborative Mindset
Since the role involves working closely with Portfolio Managers and traders, highlight your experience in collaborative environments. Share examples of how you've partnered with others to enhance trading models or develop strategies, emphasising your teamwork skills.
