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- Tasks: Explore and develop trading strategies in commodities futures markets through research and analysis.
- Company: Join a leading energy trading company that excels in data science and trading expertise.
- Benefits: Enjoy competitive salary, health insurance, 38 days holiday, gym membership, and more perks.
- Why this job: Be part of an ambitious team that empowers you to grow and make a real impact.
- Qualifications: 1-2 years in data science with coding skills in Python or SQL; trading experience is a plus.
- Other info: Diversity is celebrated here, and we’re certified as a 'Great Place to Work'.
The predicted salary is between 36000 - 60000 £ per year.
Who we are
We are an energy trading company generating liquidity across global commodities markets. We combine deep trading expertise with proprietary technology and the power of data science to be the best-in-class. Our understanding of volatile, data-intensive markets is a key part of our edge.
At Dare, you will be joining a team of ambitious individuals who challenge themselves and each other. We have a culture of empowering exceptional people to become the best version of themselves.
What you’ll be doing
In this role, you will play a key role in the systematic exploration of trading strategies in commodities futures markets. Your work will involve researching and back-testing new strategies to provide trading signals. Further responsibilities include:
- Analyse fundamental data and conduct statistical analysis of order books.
- Analysis of statistical inefficiencies in pricing data.
- Ongoing analysis for new possible market expansion.
- Statistical analysis of futures markets for trading desks.
- Deployment and maintenance of sites hosting systematic trading tools for the trading desks.
- Assisting with the automated running of systematic trading strategies.
You’ll have
- 1-2 years’ experience in data science.
- Coding experience (e.g. Python, SQL).
- Knowledge and understanding of a data science library (e.g. SKLearn, Statsmodels, Scipy).
Desirable
- Further development experience (e.g. R, C++).
- Knowledge of Git and GitHub.
- Previous experience in a trading environment.
- Experience with a data platform e.g. Snowflake.
Benefits & perks
- Competitive salary
- Vitality health insurance and dental cover
- 38 days of holiday (including bank holidays)
- Pension scheme
- Annual Bluecrest health checks
- A personal learning & development budget of £5000
- Free gym membership
- Specsavers vouchers
- Enhanced family leave
- Cycle to Work scheme
- Credited Deliveroo dinner account
- Office massage therapy
- Freshly served office breakfast twice a week
- Fully stocked fridge and pantry
- Social events and a games room
Diversity matters
We believe in a workplace where our people can fulfil their potential, whatever their background or whomever they are. We celebrate the breadth of experience and see this as critical to problem-solving and to Dare thriving as a business. Our culture rewards curiosity and drive, so the best ideas triumph and everyone here can make an impact.
Please let us know ahead of the interview and testing processes if you require any reasonable adjustments or assistance during the application process.
We’re also proud to be certified a ‘Great Place to Work’. Read more about our culture and what our team says about us here.
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Quantitative Analyst Trading · London employer: Dare
Contact Detail:
Dare Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Analyst Trading · London
✨Tip Number 1
Familiarise yourself with the latest trends in commodities trading and data science. Being able to discuss current market conditions and how they impact trading strategies will show your passion and understanding of the field during interviews.
✨Tip Number 2
Brush up on your coding skills, particularly in Python and SQL. Consider working on personal projects or contributing to open-source projects that involve data analysis or trading algorithms to demonstrate your practical experience.
✨Tip Number 3
Network with professionals in the trading and data science communities. Attend industry events, webinars, or meetups to connect with others in the field, which can lead to valuable insights and potential referrals for job openings.
✨Tip Number 4
Prepare to discuss your analytical approach to problem-solving. Be ready to share examples of how you've used statistical analysis to identify inefficiencies or develop trading strategies, as this will be crucial in showcasing your fit for the role.
We think you need these skills to ace Quantitative Analyst Trading · London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science and coding, particularly with Python and SQL. Emphasise any previous roles in trading environments or projects that involved statistical analysis.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific aspects of the job description that excite you, such as the opportunity to analyse fundamental data and develop trading strategies.
Showcase Your Technical Skills: Include examples of your coding experience and familiarity with data science libraries like SKLearn or Statsmodels. If you have experience with Git or data platforms like Snowflake, make sure to mention that as well.
Prepare for Potential Assessments: Be ready for technical assessments or case studies that may test your analytical skills and coding abilities. Brush up on statistical analysis techniques and be prepared to discuss your thought process during the application process.
How to prepare for a job interview at Dare
✨Showcase Your Data Science Skills
Make sure to highlight your experience in data science, especially with tools like Python and SQL. Be prepared to discuss specific projects where you've applied statistical analysis or back-tested trading strategies.
✨Understand the Trading Environment
Familiarise yourself with the commodities markets and the specific challenges they present. Demonstrating knowledge of market dynamics and statistical inefficiencies will show that you are well-prepared for the role.
✨Prepare for Technical Questions
Expect technical questions related to coding and data analysis. Brush up on relevant libraries such as SKLearn and Statsmodels, and be ready to solve problems or explain your thought process during the interview.
✨Emphasise Team Collaboration
Dare values a collaborative culture, so be sure to share examples of how you've worked effectively in teams. Discuss how you challenge yourself and others to achieve better results, aligning with their ethos of empowerment.
