At a Glance
- Tasks: Research market data, create trading strategies, and process large datasets for crypto trading.
- Company: Join a leading global prop trading and crypto firm with a tech-first culture.
- Benefits: Competitive salary of £200k plus bonuses, flexible start times, and a relaxed office environment.
- Other info: Enjoy a calm atmosphere with an open dress code and opportunities for serious financial rewards.
- Why this job: Work in a dynamic setting with smart people and make an impact in the crypto space.
- Qualifications: PhD/MSc from a top university, 2 years in trading or finance, and strong problem-solving skills.
Quant Researcher Crypto Trading 200k Plus Bonus Quant Capital is urgently looking for a Quant Researcher to join our high profile clients Crypto Infrastructure Team Our client is a well known global Global Prop Trading and Crypto firm.
They value technology especially the opensource variety as well as scalability and robust performance (much like their track record).
They also have a digital asset service operating in over 100 countries.
This is an environment of google or a startup where tech is number 1 the firm is known globally for its attitudes and rigour more importantly, you will be surrounded by smart people deeply interested in teaching what they know, and in learning from you.
Day to day the Quant Researcher will
- Researching high volumes of market data to identify patterns and express your own fully algorithmic trading strategies
- Creating and implementing trading strategies
- Efficiently processing, storing, and retrieving huge amounts of market data to identify trading opportunities
• Simulations and accuracy of forecasts Quant Researchers should have
- Ph D / MSc from a top tier university
- Have read Hull
- 2 years experience in a Trading or Finance or High Demand environment
- Complex problem solving
- Good mix of engineering and data science skills in the domain of time series analysis
- Ability to build whole data analysis pipelines from data preparation and feature selection to efficient training, hyper-parameter optimisation, validation, and testing The environment is that of Facebook or Google, relaxed open with time to think and make the right decisions.
The atmosphere is calm and relaxed with an open dress code.
This is a role for techies and traders, those who are motivated by the sharp end of technology and the possibility of making serious money doing something you are passionate about.
The role is based in the office 5 days a week.
Flex start times.
Linux Engineering, Trading, Quant, Blockchain, Etherium, Tokens, Coins, C++, Java, Node. js, Go, Python, d Yd X, Kyber, 0x, makerdao works
Quant Researcher Crypto Trading in London employer: Quant Capital
Quant Capital is an excellent employer for those looking to thrive in the fintech sector, offering a vibrant work culture that fosters innovation and collaboration. With substantial training and development opportunities, employees can enhance their skills while enjoying a flexible hybrid work model in the heart of London. Join us to be part of a forward-thinking team that values growth and cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land Quant Researcher Crypto Trading in London
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Quant Capital.
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When you find a suitable opening like Quant Researcher Crypto Trading at Quant Capital, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Quant Researcher Crypto Trading in London
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 Quant Capital, 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 Quant Capital. 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 Quant Capital
✨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 Quant Capital!
✨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.
