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- Tasks: Build applications for market data and insights to support trading decisions.
- Company: Join a leading tech-driven hedge fund with global offices and a focus on innovation.
- Benefits: Enjoy competitive salary, generous benefits, and a relaxed work culture with great work-life balance.
- Why this job: Make an immediate impact in a collaborative environment while developing your skills in volatility trading.
- Qualifications: 1-3 years of experience in Python, AWS, SQL, and knowledge of financial derivatives required.
- Other info: Ideal for tech-savvy individuals eager to grow in a dynamic trading environment.
The predicted salary is between 43200 - 72000 £ per year.
Our client is a leading tech-driven quant and systematic hedge fund trading with offices across the globe. They leverage deep knowledge in data, research, technology and trading to deliver high-quality returns in a dynamic and fast-paced environment, with excellent opportunities for career growth.
Looking for a motivated Python Quant Developer to work within a trading desk alongside Quant Researchers and Traders where you will have a direct & immediate impact on the desk’s success. Your primary focus will be building applications to provide market data & insights to inform trading decisions. This role offers exposure to many aspects of volatility trading, including derivatives pricing, data management and analytics structure (cloud computing and ML technologies).
The ideal candidate is tech-driven, with experience developing trading apps and/or setting up trading framework.
Requirements
Desirable
Benefits
Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.
Quant Developer – Vol employer: Oxford Knight
Contact Detail:
Oxford Knight Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Developer – Vol
✨Tip Number 1
Familiarise yourself with the latest trends in volatility trading and derivatives pricing. This knowledge will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase your experience with Python libraries like numpy, pandas, and matplotlib by working on personal projects or contributing to open-source projects. This practical experience can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the quant finance space, especially those who work with hedge funds. Attend industry meetups or webinars to make connections that could lead to referrals or insider information about job openings.
✨Tip Number 4
Prepare to discuss your experience with AWS and SQL in detail. Be ready to explain how you've used these technologies in past projects, as this will demonstrate your technical proficiency and readiness for the role.
We think you need these skills to ace Quant Developer – Vol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in Python development, particularly with libraries like numpy, pandas, and matplotlib. Emphasise any previous roles in trading environments or financial institutions.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or experiences that demonstrate your skills in building trading applications and your understanding of volatility trading.
Showcase Technical Skills: Clearly outline your technical skills, especially your proficiency with AWS, SQL, and relational databases. Provide examples of how you've used these technologies in past projects to solve real-world problems.
Highlight Collaborative Experience: Since the role involves working closely with Quant Researchers and Traders, mention any past experiences where you collaborated in a team setting. This could include projects where you contributed to data management or analytics.
How to prepare for a job interview at Oxford Knight
✨Showcase Your Python Skills
Make sure to highlight your experience with Python, especially the libraries mentioned in the job description like numpy, pandas, and matplotlib. Be prepared to discuss specific projects where you used these tools to solve problems or improve processes.
✨Demonstrate Your Knowledge of Financial Derivatives
Since the role involves volatility trading and derivatives pricing, brush up on your knowledge of financial derivatives and options. Be ready to explain complex concepts in simple terms, as this will show your understanding and ability to communicate effectively.
✨Prepare for Technical Questions
Expect technical questions related to SQL and AWS, as these are crucial for the role. Practice coding challenges or scenarios that might come up during the interview, and be ready to demonstrate your problem-solving skills on the spot.
✨Emphasise Collaboration and Impact
This position is about working closely with Quant Researchers and Traders, so highlight your teamwork experiences. Share examples of how your contributions have made a direct impact in previous roles, showcasing your ability to thrive in a collaborative environment.
