Remote Crypto Options Quant Researcher

Remote Crypto Options Quant Researcher

Full-Time 60000 - 80000 £ / year (est.) Working from home possible
Selby Jennings

At a Glance

  • Tasks: Design and optimise trading strategies while conducting cutting-edge research in crypto derivatives.
  • Company: Join Selby Jennings, a leader in the crypto trading space.
  • Benefits: Fully remote work, competitive salary, and significant career growth opportunities.
  • Other info: Collaborate with engineering teams in a high-growth market.
  • Why this job: Make a direct impact on trading performance in a fast-paced, innovative environment.
  • Qualifications: Strong background in quantitative research and proficiency in Python required.

The predicted salary is between 60000 - 80000 £ per year.

Selby Jennings is seeking a skilled Quantitative Researcher to join its crypto derivatives trading team in London. You will design and optimize strategies, conduct research, and build predictive models in a fast-paced environment. This position offers a chance to influence trading performance directly while collaborating with engineering teams.

The ideal candidate has a strong background in quantitative research, a deep understanding of options pricing, and proficiency in Python. Enjoy a fully remote setup and significant career growth opportunities in a high-growth market.

Remote Crypto Options Quant Researcher employer: Selby Jennings

Selby Jennings is an exceptional employer, offering a dynamic and fully remote work environment that empowers Quantitative Researchers to thrive in the fast-paced world of crypto derivatives. With a strong emphasis on collaboration and innovation, employees benefit from significant career growth opportunities while directly influencing trading performance in a high-growth market. Join a culture that values expertise and fosters professional development, making it an ideal place for those seeking meaningful and rewarding employment.

Selby Jennings

Contact Details:

Selby Jennings Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Remote Crypto Options Quant Researcher

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Apply Directly through Our Website

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We think you need these skills to ace Remote Crypto Options Quant Researcher

Quantitative Research
Options Pricing
Python
Strategy Design
Model Optimisation
Predictive Modelling
Research Skills

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!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Selby Jennings, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Selby Jennings. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Selby Jennings

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Selby Jennings!

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.