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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 options, and opportunities for professional growth.
- Other info: Collaborative team environment focused on cutting-edge financial technology.
- Why this job: Be at the forefront of AI in trading and make a significant impact.
- Qualifications: 5–7 years in quantitative research or trading, with strong C++ and Python skills.
The predicted salary is between 70000 - 100000 £ 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 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
✨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 are proactive and take the initiative. Plus, it gives us a chance to see your application in the best light possible.
We think you need these skills to ace HFT Options Quant Researcher — AI-Driven Market Making
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 related to volatility models and 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 designing volatility models and optimising execution algorithms. We recommend preparing specific examples from your past work that showcase your expertise.
✨Show Off Your Coding Skills
Since strong skills in C++ and Python are crucial for this role, be prepared to demonstrate your coding abilities. You might be asked to solve a problem on the spot or discuss your previous projects. We suggest practising coding challenges related to finance to get into the right mindset.
✨Understand AI-Driven Signals
DeepFin Research is all about innovation, so make sure you understand how AI can enhance trading strategies. Familiarise yourself with current trends in AI-driven market making and be ready to share your thoughts on how you could contribute to their goals. We believe showing genuine interest in their approach will set you apart.
✨Ask Insightful Questions
Interviews are a two-way street, so prepare some thoughtful questions about the team and their projects. Inquire about their current challenges in AI-driven signals or how they envision the future of market-making. This shows that you're not just interested in the job, but also in being part of their innovative journey.