At a Glance
- Tasks: Develop and execute automated trading strategies for options in TradFi markets.
- Company: BHFT, a leader in quantitative research with a focus on innovation.
- Benefits: Competitive compensation, remote work flexibility, and opportunities for professional growth.
- Other info: Collaborative remote environment with a focus on clarity and teamwork.
- Why this job: Join a dynamic team and make an impact in high-performance trading.
- Qualifications: Hands-on experience in options strategy research and automation.
The predicted salary is between 63000 - 77000 £ per year.
BHFT is seeking a Mid-Senior Quant Researcher specializing in options. This role requires hands-on experience in developing automated production strategies for Trad Fi markets.
The successful candidate will manage options strategy research from hypothesis through to execution, focusing on high-performance, automated trading strategies.
The position supports remote work, promoting clarity and collaboration.
Competitive compensation and professional growth opportunities are part of our offer.
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Senior Options Quant Researcher - Remote employer: BHFT
At BHFT, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture that empowers our employees to excel in their roles. As a Senior Options Quant Researcher, you will benefit from competitive compensation, extensive professional growth opportunities, and the flexibility of remote work, allowing you to balance your personal and professional life while contributing to cutting-edge automated trading strategies.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Options Quant Researcher - Remote
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We think you need these skills to ace Senior Options Quant Researcher - Remote
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
