At a Glance
- Tasks: Conduct pure research to enhance high-frequency trading strategies in the crypto market.
- Company: Fionics, a leading firm in innovative financial technology.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Focus on research without devops distractions, perfect for passionate problem solvers.
- Why this job: Join a dynamic team and make a real impact in the evolving world of crypto trading.
- Qualifications: 2-7 years of experience in quant research with strong Python or C++ skills.
The predicted salary is between 60000 - 80000 £ per year.
Fionics is seeking a quant researcher to join their team in Greater London, specializing in pushing their high-frequency trading (HFT) alpha stack forward. This position emphasizes pure research without detours into devops, allowing researchers to focus on feature design, model architecture, and signal improvement.
The ideal candidate will have 2–7 years of experience, strong skills in Python and/or C++, and a track record in PnL, ideally with an academic or competitive pedigree. If you're passionate about tackling complex problems in the evolving crypto market, we want to hear from you.
Crypto Quant Researcher: Real-Time Alpha in Microstructure employer: Fionics
Fionics is an exceptional employer that fosters a dynamic and innovative work culture in the heart of Greater London, where creativity and analytical thinking thrive. With a strong emphasis on employee growth, Fionics offers unique opportunities for professional development in the fast-paced world of high-frequency trading, allowing you to focus on impactful research without the distractions of devops. Join us to be part of a forward-thinking team that values your expertise and passion for solving complex challenges in the crypto market.
StudySmarter Expert Advice🤫
We think this is how you could land Crypto Quant Researcher: Real-Time Alpha in Microstructure
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Crypto Quant Researcher: Real-Time Alpha in Microstructure
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 Fionics, 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 Fionics. 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 Fionics
✨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 Fionics!
✨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.
