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- Tasks: Collaborate with Traders to create cutting-edge quantitative solutions for energy trading.
- Company: Join a leading Global Energy Trading Firm in the heart of London.
- Benefits: Enjoy a hybrid work model with 3 days in the office and flexible hours.
- Why this job: Be part of a dynamic team, enhancing trading strategies with innovative tech solutions.
- Qualifications: MSc or PhD in Finance, Physics, or STEM; strong Python and React.js skills required.
- Other info: Experience with Docker/Kubernetes and cloud systems like Azure is a plus.
The predicted salary is between 43200 - 72000 £ per year.
Quantitative Developer – Energy Trading – London
TurleyWay are partnering with a Global Energy Trading Firm in London who are looking to appoint a Quantitative Developer who has worked as part of a trading desk pod structure. They operate a hybrid model with 3 days in the office.
You will work on-desk directly with Traders to build systematic and quantitative solutions to provide an edge to their current environment.
Your profile:
- MSc or PhD in the area of Finance, Physics or STEM with strong quantitative focus
- Hands on coding with Python (Flask), NumPy/pandas and Front End experience with Angular/React.js
- Git, CI/CD pipelines. Familiarity with Docker/Kubernetes
- Experience working in a Trading environment delivering quantitative solutions
- Strong coding, model development and data management skills
- Experience with data intensive modelling relating to time-series data and vendor data
- Experience with Cloud based systems, preferably Azure
Your responsibilities will include:
- Partner with the Trading teams to translate their requirements into technology solutions, tools, models and analytical libraries to support analysis/trading decisions
- Build and develop models and data pipelines for the Trading team
- Experience of re-factoring code and developing/maintaining trading infrastructure
- Work with trading teams to gather requirements for analytics, integrating both Real Time and historical market data
- Migrating Legacy analytical applications to containerised processes (Docker/Kubernetes)
- Dashboarding and data visualization of analytics with Plotly
If you possess the relevant skills and experience please apply today to schedule a confidential discussion.
We look forward to hearing from you.
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Quantitative Developer - Python/React.Js employer: TurleyWay: Senior Technology Recruitment
Contact Detail:
TurleyWay: Senior Technology Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer - Python/React.Js
✨Tip Number 1
Make sure to highlight your experience working in a trading environment. Mention specific projects where you collaborated with traders and how your quantitative solutions made an impact on their decision-making process.
✨Tip Number 2
Familiarize yourself with the tools and technologies mentioned in the job description, especially Python (Flask), NumPy/pandas, and React.js. If you have personal projects or contributions to open-source that showcase these skills, be ready to discuss them.
✨Tip Number 3
Demonstrate your understanding of cloud-based systems, particularly Azure. If you've worked on any projects involving cloud deployment or containerization with Docker/Kubernetes, prepare to share those experiences.
✨Tip Number 4
Since this role involves building models and data pipelines, think about how you can articulate your approach to model development and data management. Be ready to discuss any challenges you've faced and how you overcame them.
We think you need these skills to ace Quantitative Developer - Python/React.Js
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your MSc or PhD in Finance, Physics, or a STEM field. Emphasize your hands-on experience with Python, Flask, and data management skills relevant to the trading environment.
Craft a Strong Cover Letter: In your cover letter, explain how your background aligns with the role of a Quantitative Developer. Mention specific projects where you built quantitative solutions or worked directly with traders.
Showcase Relevant Experience: Detail your experience with Git, CI/CD pipelines, Docker, and Kubernetes. Provide examples of how you've developed models and data pipelines in a trading context, especially focusing on time-series data.
Highlight Collaboration Skills: Since the role involves partnering with trading teams, emphasize your ability to gather requirements and translate them into technology solutions. Mention any past experiences where you successfully collaborated with traders or analysts.
How to prepare for a job interview at TurleyWay: Senior Technology Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, Flask, and data management tools like NumPy and pandas. Highlight specific projects where you applied these skills, especially in a trading environment.
✨Understand the Trading Environment
Familiarize yourself with how trading desks operate and the role of quantitative developers within them. Be ready to discuss how your work can directly impact trading decisions and outcomes.
✨Demonstrate Problem-Solving Abilities
Expect technical questions that assess your problem-solving skills. Prepare to walk through your thought process on how you would tackle real-world challenges faced by traders.
✨Prepare for Behavioral Questions
Since you'll be working closely with traders, prepare for questions about teamwork and communication. Share examples of how you've successfully collaborated in past roles, especially in high-pressure situations.
