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For Companies At a Glance
- Tasks: Join a dynamic team to optimise trading decisions using data analytics and innovative tools.
- Company: Fourier is a forward-thinking firm focused on data-driven financial solutions in London.
- Benefits: Enjoy a collaborative work environment with opportunities for professional growth and impactful projects.
- Why this job: Be part of a cutting-edge initiative that influences real-time trading strategies and market analysis.
- Qualifications: Strong Python skills and a background in data science or finance are essential.
- Other info: Work permit required for non-EU applicants; apply through the official channel.
The predicted salary is between 43200 - 72000 £ per year.
Required skills
- You will be at the forefront of a data-driven initiative to optimise decision making across multiple asset classes and trading desks.
- You may join team members building a chatbot that uses Bayesian inference and NLP to suggest potential trades, designing metrics that analyse trading activity or building tools to parse and ingest new sources of data from public markets.
- The team interacts with different stakeholders and the software has the potential to significantly impact all areas of the business.
- At times you will be expected to join traders in the high-pressure environment of the desk to improve your own understanding or to assist them directly.
- A passion for and background in software engineering, data science and/or quant analytics is key.
- Excellent Python ability (NumPy, Pandas, Scipy, Cython).
- Experience with large time series data (InfluxDB, TimescaleDB, kdb+).
- Sound knowledge of financial markets & securities.
- Experience in data science, advanced statistics.
Please note that if you are NOT a passport holder of the country for the vacancy you might need a work permit.
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Python Developer – Data Analytics employer: Fourier
Contact Detail:
Fourier Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Developer – Data Analytics
✨Tip Number 1
Familiarise yourself with the specific tools and libraries mentioned in the job description, such as NumPy, Pandas, and Scipy. Having hands-on experience with these will not only boost your confidence but also demonstrate your technical proficiency during interviews.
✨Tip Number 2
Brush up on your knowledge of financial markets and securities. Understanding how different asset classes operate will help you engage more effectively with stakeholders and show that you're genuinely interested in the role.
✨Tip Number 3
Consider building a small project or contributing to an open-source project that involves data analytics using Python. This practical experience can serve as a great talking point in interviews and showcase your ability to apply your skills in real-world scenarios.
✨Tip Number 4
Network with professionals in the finance and data analytics sectors. Attend meetups or webinars to connect with people who work in similar roles. This can provide valuable insights and potentially lead to referrals when applying for the position.
We think you need these skills to ace Python Developer – Data Analytics
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Python Developer – Data Analytics position. Familiarise yourself with the technologies mentioned, such as NumPy, Pandas, and InfluxDB, to tailor your application accordingly.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience with Python and any relevant projects involving data analytics or financial markets. Use specific examples to demonstrate your skills in handling large time series data and your understanding of advanced statistics.
Craft a Tailored Cover Letter: Write a compelling cover letter that connects your background in software engineering and data science to the role. Mention your passion for optimising decision-making processes and how you can contribute to the team’s initiatives, such as building chatbots or designing metrics.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Fourier
✨Showcase Your Python Skills
Make sure to highlight your proficiency in Python, especially with libraries like NumPy, Pandas, and Scipy. Be prepared to discuss specific projects where you've used these tools to solve data-related problems.
✨Demonstrate Your Understanding of Financial Markets
Since the role involves working with trading desks, it's crucial to show that you have a solid grasp of financial markets and securities. Brush up on key concepts and be ready to discuss how they relate to data analytics.
✨Prepare for Technical Questions
Expect technical questions related to data science and advanced statistics. Review common statistical methods and be ready to explain how you've applied them in real-world scenarios, particularly with large time series data.
✨Emphasise Team Collaboration
The role requires interaction with various stakeholders, so be prepared to discuss your experience working in teams. Highlight any instances where you've collaborated with traders or other departments to achieve a common goal.
