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- Tasks: Explore and analyse trading strategies in commodities futures markets.
- Company: Join Dare, a leading energy trading company leveraging data science and technology.
- Benefits: Enjoy 38 days holiday, health insurance, gym membership, and a £5000 learning budget.
- Why this job: Be part of an ambitious team that empowers you to grow and make an impact.
- Qualifications: 1-2 years in data science with coding skills in Python or SQL required.
- Other info: Dare values diversity and is certified a 'Great Place to Work'.
The predicted salary is between 36000 - 60000 £ per year.
Job Description
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
- 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.
Quantitative Analyst - Dare employer: Dare
Contact Detail:
Dare Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Analyst - Dare
✨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 relate to your potential role will show your enthusiasm and understanding of the industry.
✨Tip Number 2
Brush up on your coding skills, particularly in Python and SQL. Consider working on small projects or contributing to open-source initiatives that demonstrate your ability to apply these skills in a practical context.
✨Tip Number 3
Network with professionals in the trading and data science fields. Attend relevant meetups or webinars to connect with others who can provide insights into the role and potentially refer you to opportunities at Dare.
✨Tip Number 4
Prepare to discuss your experience with statistical analysis and back-testing strategies. Be ready to share specific examples of how you've applied these techniques in previous roles or projects, as this will be crucial for the Quantitative Analyst position.
We think you need these skills to ace Quantitative Analyst - Dare
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 at Dare and how your skills align with their needs. Mention specific experiences where you've successfully analysed data or developed trading strategies.
Showcase Technical Skills: Clearly outline your technical skills in your application. Include your familiarity with data science libraries like SKLearn and Statsmodels, as well as any experience with Git and GitHub.
Highlight Problem-Solving Abilities: Dare values curiosity and drive. Use examples from your past work to demonstrate how you've tackled complex problems or contributed to innovative solutions in data analysis or trading strategies.
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 coding languages 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 inefficiencies and how they can be exploited will show that you are well-prepared for the role.
✨Prepare for Technical Questions
Expect technical questions related to data analysis and coding. Brush up on relevant libraries such as SKLearn and Statsmodels, and be ready to solve problems or write code 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’ve contributed to group projects and how you handle feedback and challenges within a team setting.