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For Companies At a Glance
- Tasks: Lead the development of innovative options trading strategies and collaborate with tech teams.
- Company: Dynamic trading firm in London with a focus on innovation and collaboration.
- Benefits: Health insurance, flexible sick leave, and office lunches.
- Why this job: Join a team where your passion for problem-solving can shine and lead to career growth.
- Qualifications: 4+ years in quantitative research, strong programming skills, and deep options expertise.
- Other info: Opportunity to mentor junior researchers and potentially run your own desk.
The predicted salary is between 72000 - 108000 £ per year.
Location: London, UK (Hybrid mode with 3 days in-office requirement)
Key Responsibilities
- Lead the research and development of systematic options trading strategies across US and global markets.
- Apply advanced options pricing models, volatility surface modeling, and risk-neutral frameworks to generate alpha.
- Conduct rigorous backtesting, stress testing, and statistical validation of strategies.
- Collaborate with technologists to implement research into production-ready trading systems with robust execution.
- Enhance portfolio construction and risk management frameworks for options books.
- Contribute to the evolution of Teza's options research platform, embedding innovation into live strategies.
- Mentor junior researchers and drive the continuous improvement of research practices, infrastructure, and tools.
Basic Requirements
- Physics, Mathematics, Computer Science, Engineering or other technical degree.
- Math skills: statistics, linear algebra, optimization etc.
- Minimum of 4 years of quantitative research or trading experience in systematic trading.
- Deep expertise in options, including volatility surface, and derivatives pricing methods.
- Strong programming skills in Python, with experience handling large, complex datasets.
- Solid understanding of risk management principles in derivatives trading.
- Ability to work effectively across research, trading, and technology teams.
- Exceptional analytical, problem-solving, and critical-thinking skills.
Nice To Have Requirements
- PhD in Physics, Mathematics, Computer Science, Engineering or similar area.
- Experience deploying systematic options strategies into production trading environments.
- Familiarity with market microstructure and low-latency execution in derivatives.
- Knowledge of machine learning techniques and their application to options trading.
- Experience mentoring or leading a quant research team.
What You’ll Get
- On-site presence of experienced and skilled Portfolio Managers to brainstorm with.
- Build strategies while becoming the best at what you do with a potential to run your own desk and become a Portfolio Manager in no time.
- CIO, CRO and executive team as your advisors.
What Makes You a Match
- You are a stellar professional at what you do.
- Difficult problems make you excited.
- You have A LOT of passion and drive.
Benefits
- Health insurance.
- Flexible sick time policy.
- Office Lunches.
Senior Quantitative Researcher, Options in London employer: Grupo Galvão
Contact Detail:
Grupo Galvão Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quantitative Researcher, Options in London
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even casual coffee chats. The more people you know, the better your chances of landing that Senior Quantitative Researcher gig.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your past projects, especially those involving options trading strategies or Python programming. Let them see your passion and expertise in action.
✨Ask Smart Questions
During interviews, come prepared with insightful questions about their trading strategies or research platform. This shows you’re genuinely interested and have done your homework, making you stand out from the crowd.
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Senior Quantitative Researcher, Options in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Quantitative Researcher role. Highlight your experience with options trading, quantitative research, and any relevant programming skills in Python. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about options trading and how your skills can contribute to our team. Be sure to mention any innovative strategies you've developed or worked on in the past.
Showcase Your Analytical Skills: In your application, don't forget to showcase your analytical and problem-solving skills. We love candidates who can think critically and tackle complex challenges, so share examples of how you've done this in your previous roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're keen on joining the StudySmarter family!
How to prepare for a job interview at Grupo Galvão
✨Know Your Options Inside Out
Make sure you brush up on your knowledge of options trading strategies and pricing models. Be prepared to discuss advanced concepts like volatility surface modelling and risk-neutral frameworks, as these are crucial for the role.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical and problem-solving abilities. You might be asked to tackle a case study or a technical question, so practice articulating your thought process clearly and logically.
✨Familiarise Yourself with the Tech Stack
Since collaboration with technologists is key, make sure you’re comfortable discussing how you’ve implemented research into production-ready systems. Brush up on your Python skills and be ready to talk about handling large datasets.
✨Highlight Your Mentoring Experience
If you've mentored junior researchers before, be sure to share those experiences. Discuss how you’ve contributed to their growth and the continuous improvement of research practices, as this will show your leadership potential.
