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- Tasks: Design volatility models and optimise execution algorithms for AI-driven market making.
- Company: Join DeepFin Research, a leader in innovative finance solutions.
- Benefits: Competitive salary, flexible work arrangements, and opportunities for professional growth.
- Other info: Be part of a dynamic team pushing the boundaries of finance.
- Why this job: Make a real impact in high-frequency trading with cutting-edge AI technology.
- Qualifications: 5–7 years in quantitative research or trading, with strong C++ and Python skills.
The predicted salary is between 70000 - 98000 £ per year.
DeepFin Research is looking for high-frequency trading researchers specializing in options to enhance AI-driven signals in global markets. Candidates should have 5–7 years experience in quantitative research or trading, particularly in market-making for equity or index options.
Responsibilities include:
- Designing volatility models
- Optimizing execution algorithms
The ideal candidate has a Master's or PhD in a relevant field and strong skills in C++ and Python. Join a team focused on innovation in finance.
HFT Options Quant Researcher — AI-Driven Market Making in London employer: DeepFin Research
Contact Detail:
DeepFin Research Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land HFT Options Quant Researcher — AI-Driven Market Making in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the high-frequency trading space, especially those who work with options. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative research projects or any algorithms you've developed. This is your chance to demonstrate your expertise in C++ and Python, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of volatility models and execution algorithms. Be ready to discuss your past experiences and how they relate to the role at DeepFin Research. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who take the initiative. Make sure your application reflects your passion for innovation in finance and highlights your relevant experience in market-making.
We think you need these skills to ace HFT Options Quant Researcher — AI-Driven Market Making in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in quantitative research and trading, especially in market-making for options. We want to see how your skills in C++ and Python shine through!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for the role. Share your passion for AI-driven market making and how your background aligns with our mission at DeepFin Research.
Showcase Your Projects: If you've worked on any relevant projects or models, don’t hesitate to include them! We love seeing practical applications of your skills, especially those that relate to volatility models or execution algorithms.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our innovative team!
How to prepare for a job interview at DeepFin Research
✨Know Your Quantitative Stuff
Make sure you brush up on your quantitative research skills, especially in market-making for equity or index options. Be ready to discuss your experience with volatility models and execution algorithms, as these are key areas for the role.
✨Show Off Your Coding Skills
Since strong skills in C++ and Python are essential, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges related to finance and trading algorithms.
✨Understand AI in Trading
DeepFin Research is focused on AI-driven signals, so it’s crucial to understand how AI can enhance trading strategies. Familiarise yourself with recent advancements in AI within finance and be prepared to discuss how you can contribute to this innovation.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the team’s current projects and future goals. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.