Crypto - Quantitative Researcher

Crypto - Quantitative Researcher

Full-Time 48000 - 84000 £ / year (est.) No home office possible
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Qube Research & Technologies

At a Glance

  • Tasks: Create high-quality Crypto signals and monitor trading strategies.
  • Company: Join Qube Research & Technologies, a leader in quantitative investment management.
  • Benefits: Enjoy a healthy work-life balance and diverse workplace culture.
  • Why this job: Make an impact in the fast-paced world of Crypto with innovative research.
  • Qualifications: 2+ years in finance, advanced degree in a quantitative field, coding skills required.
  • Other info: Collaborative environment with opportunities for professional growth and exploration.

The predicted salary is between 48000 - 84000 £ per year.

Talent at Qube Research and Technologies

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT:

  • Create high quality Crypto signals on various exchanges and platforms.
  • Monitor your own trading, strategy performance and all relevant risks.
  • Your core objective is to create high quality predictive signals.
  • By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities.
  • Share and discuss research results, methodology, data sets and processes with other researchers.
  • Implement the signals and the relevant datasets within the global execution platform.
  • Monitor signal behaviour and model performance over time within your strategies.
  • You would lead the full strategy research cycle from signal generation to implementation.
  • Proven track record in delivering successful Crypto systematic strategies.
  • Minimum 2 years of experience in the financial industry.
  • Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering.
  • Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus.
  • Capacity to multi-task in a fast-paced environment while keeping strong attention to detail.
  • Good fundamental crypto knowledge is a plus.
  • Experience with one or more of the below is a plus:
  • Crypto specific data sets, DeFi, latency-sensitive, ML/AI or strategies in production
  • Coding skills required in at least one leading programming language, Python preferred, C++ is beneficial.
  • Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields.
  • Capacity to work with autonomy within a collegial and collaborative environment.
  • Strong capacity to communicate with technologists, data scientists and traders across the globe.

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees to achieve a healthy work-life balance.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Research

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Crypto - Quantitative Researcher employer: Qube Research & Technologies

At Qube Research & Technologies, we pride ourselves on being a leading employer in the financial industry, offering a dynamic and innovative work culture that fosters collaboration and intellectual curiosity. Our commitment to employee growth is evident through our supportive environment, where you can leverage cutting-edge technology and diverse datasets to drive impactful research in the exciting field of cryptocurrency. With a focus on work-life balance and a strong emphasis on diversity, QRT is dedicated to empowering our team members to achieve both professional success and personal fulfilment.
Qube Research & Technologies

Contact Detail:

Qube Research & Technologies Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Crypto - Quantitative Researcher

✨Tip Number 1

Network like a pro! Reach out to folks in the crypto and quantitative research space on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your previous work with crypto signals or any relevant projects. We want to see your thought process and how you tackle complex problems, so don’t hold back!

✨Tip Number 3

Prepare for those interviews! Brush up on your knowledge of statistical patterns, machine learning, and any coding languages you’re familiar with. We suggest practicing common interview questions related to quantitative research and crypto strategies.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our innovative team at QRT.

We think you need these skills to ace Crypto - Quantitative Researcher

Quantitative Analysis
Statistical Knowledge
Machine Learning
Natural Language Processing (NLP)
Artificial Intelligence (AI) Techniques
Data Science
Python Programming
C++ Programming
Crypto Knowledge
Signal Generation
Risk Monitoring
Data Set Management
Problem-Solving Skills
Communication Skills
Autonomy in Work

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the role of a Crypto - Quantitative Researcher. Highlight your experience in the financial industry, especially any work related to crypto strategies or data analysis. We want to see how your skills align with our needs!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about crypto and quantitative research. Share specific examples of your past successes and how they relate to the role at QRT. We love a good story!

Show Off Your Technical Skills: Since coding skills are a must, make sure to mention your proficiency in Python or any other relevant programming languages. If you've worked with machine learning or AI techniques, let us know! We’re all about that tech-savvy approach.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come in through our own platform!

How to prepare for a job interview at Qube Research & Technologies

✨Know Your Crypto Inside Out

Make sure you brush up on your crypto knowledge before the interview. Understand the latest trends, key players, and technologies in the crypto space. Being able to discuss recent developments or challenges in the market will show your passion and expertise.

✨Showcase Your Quant Skills

Prepare to demonstrate your quantitative skills during the interview. Be ready to discuss your experience with statistical analysis, machine learning, or any relevant programming languages like Python. Bring examples of past projects where you've successfully implemented strategies or generated signals.

✨Communicate Clearly and Collaboratively

Since the role involves working with various teams, practice articulating your thoughts clearly. Be prepared to explain complex concepts in a way that’s easy to understand for non-technical colleagues. Highlight your ability to collaborate and share insights with others.

✨Prepare for Problem-Solving Questions

Expect to face some challenging problem-solving scenarios during the interview. Think about how you would approach creating predictive signals or managing risks. Practising these types of questions can help you feel more confident and showcase your analytical thinking.

Crypto - Quantitative Researcher
Qube Research & Technologies
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