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- Tasks: Join a dynamic team to optimise trading decisions using data analytics and machine learning.
- Company: Leading financial firm focused on innovative data-driven solutions.
- Benefits: Competitive salary, flexible hours, and opportunities for professional growth.
- Why this job: Make a real impact in finance while working with cutting-edge technology.
- Qualifications: Strong Python skills and a passion for data science and finance.
- Other info: Fast-paced environment with direct exposure to trading desks.
The predicted salary is between 36000 - 60000 £ per year.
Required skills: Python, Pandas, Numpy, Scipy, Cython, Sympy, Scikit-learn, Matplotlib, Jupiter, Statistics, Probability, Data Science, Machine Learning, NLP.
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
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
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that Python Developer gig.
✨Tip Number 2
Show off your skills! Create a GitHub portfolio showcasing your projects with Python, Pandas, and other tools mentioned in the job description. We want to see your coding chops in action, especially if you’ve worked on data analytics or machine learning projects.
✨Tip Number 3
Prepare for those technical interviews! Brush up on your knowledge of statistics, probability, and financial markets. We recommend practicing coding challenges and discussing your thought process out loud to impress those interviewers.
✨Tip Number 4
Don’t forget to 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 proactive about their job search!
We think you need these skills to ace Python Developer – Data Analytics
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python expertise right from the get-go. We want to see how you've used libraries like Pandas and NumPy in real projects, so don’t hold back on those details!
Demonstrate Your Data Savvy: Since this role is all about data analytics, share examples of how you've tackled large datasets or applied statistical methods. We love seeing your thought process and how you approach problem-solving!
Connect with Our Mission: Let us know why you're excited about optimising decision-making in trading. A personal touch about your passion for finance and data science can really make your application stand out!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Fourier
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially with libraries like NumPy, Pandas, and Scikit-learn. Be prepared to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Data Science Knowledge
Since the role involves data analytics, be ready to talk about your experience with statistics, probability, and machine learning. Have examples ready that demonstrate your ability to analyse data and derive insights, particularly in a financial context.
✨Understand the Financial Markets
Familiarise yourself with the basics of financial markets and securities. Being able to discuss how your technical skills can impact trading decisions will show that you understand the business side of things, which is crucial for this role.
✨Prepare for High-Pressure Scenarios
Given that you'll be working closely with traders, think about how you would handle high-pressure situations. Prepare examples of times when you've had to make quick decisions or adapt to changing circumstances, as this will demonstrate your ability to thrive in a fast-paced environment.
