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- Tasks: Join us to develop alpha signals for our crypto trading operation in London.
- Company: Spark Digital Trading is a cutting-edge quantitative trading firm focused on digital assets.
- Benefits: Enjoy flexible hours, remote work options, and profit-sharing compensation.
- Why this job: This role offers creative freedom and the chance to impact the crypto market significantly.
- Qualifications: No prior experience required; just bring your ideas and software skills!
- Other info: We sponsor Skilled Worker visas and encourage innovative thinkers to apply.
The predicted salary is between 48000 - 84000 £ per year.
Spark Digital Trading is seeking a Quantitative Researcher to develop alpha signals for our London-based systematic crypto trading operation. This is an alpha-focused role. We trade across a range of frequencies. You will be involved with the entire scope of the signal generation process including:
- Idea generation
- Data sourcing, cleaning, and setup
- Cutting-edge data modelling and statistical analysis
- Real-world implementation
Prior experience in all of these areas is not required. As a small firm, you will work closely with senior management and be exposed to the full research lifecycle, enabling you to rapidly expand your capabilities and impact. You will have significant flexibility in setting your own research agenda, so we expect candidates to bring their own ideas for generating alpha in digital asset markets. A candidate who provides a description of their signal concepts will have an advantage in our evaluation process. A live trading track record is not required, but you should be ready to discuss your ideas. Experience working with alternative data or large datasets is a plus.
The best candidate will have good software skills and be able to handle the full signal generation process on their own. They will also demonstrate creative flair in their ability to source new datasets and invent new signals. We will provide capital and infrastructure to maximize the profit potential of the signals you work on.
The Quantitative Researcher opportunity is located in our London office in Marylebone but does not require in-office presence every day. You will have significant flexibility in setting your own hours. We are able to sponsor eligible candidates for Skilled Worker visas. Compensation will exceed market average and includes profit-sharing.
Applicants may send additional materials to info@sparkdigitaltrading.com.
Company Description: Spark Digital Trading (UK) LLP is a London-based quantitative trading firm founded in 2022 with institutional financial backing. Spark Digital deploys quantitative strategies in digital asset markets. We give our small team the freedom to innovate and invent. We are distinguished by our superior trading, our focus on innovative research, and our multifaceted group of professionals, all of which has enabled us to readily achieve profitable performance.
Quantitative Researcher - Crypto employer: Spark Digital Trading
Contact Detail:
Spark Digital Trading Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher - Crypto
✨Tip Number 1
Familiarise yourself with the latest trends in crypto trading and quantitative research. Being well-versed in current market dynamics will not only help you generate innovative alpha signals but also demonstrate your passion and commitment to the field during discussions.
✨Tip Number 2
Prepare a portfolio of your ideas for signal generation. Even if you don't have prior experience, showcasing your thought process and creativity in sourcing datasets or developing signals can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the crypto and quantitative research space. Engaging with others in the industry can provide insights into best practices and may even lead to referrals, increasing your chances of landing an interview.
✨Tip Number 4
Stay updated on alternative data sources and statistical modelling techniques. Being able to discuss how you would apply these methods to real-world scenarios will show your readiness to contribute effectively to the team at Spark Digital Trading.
We think you need these skills to ace Quantitative Researcher - Crypto
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Quantitative Researcher at Spark Digital Trading. Familiarise yourself with the signal generation process and think about how your skills align with their needs.
Showcase Your Ideas: In your application, include a description of your own signal concepts. This will demonstrate your creativity and understanding of alpha generation in digital asset markets, giving you an edge in the evaluation process.
Highlight Relevant Skills: Emphasise your software skills and any experience you have with data sourcing, cleaning, and statistical analysis. If you've worked with alternative data or large datasets, make sure to mention this as it is considered a plus.
Tailor Your CV and Cover Letter: Customise your CV and cover letter to reflect your interest in the role and the company. Highlight your flexibility and willingness to innovate, as well as any relevant projects or experiences that showcase your capabilities in quantitative research.
How to prepare for a job interview at Spark Digital Trading
✨Showcase Your Ideas
Since this role values creativity in generating alpha signals, come prepared with your own ideas. Discussing your signal concepts during the interview will give you an edge and demonstrate your proactive approach.
✨Familiarise Yourself with Data Modelling
Brush up on your data modelling and statistical analysis skills. Be ready to discuss how you would approach data sourcing, cleaning, and setup, as these are crucial parts of the signal generation process.
✨Highlight Relevant Experience
Even if you lack direct experience in crypto trading, emphasise any relevant skills or projects you've worked on. If you've dealt with large datasets or alternative data, make sure to mention it, as it could be a significant advantage.
✨Demonstrate Software Proficiency
Good software skills are essential for this role. Be prepared to discuss the tools and programming languages you are familiar with, and how you would apply them in the context of quantitative research and trading.
