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- Tasks: Design and build high-performance applications for trading and risk management.
- Company: Leading energy firm in London with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in the energy sector with your coding skills.
- Qualifications: Degree in Computer Science or related field; strong Python programming skills required.
- Other info: Collaborative environment with excellent career advancement opportunities.
The predicted salary is between 60000 - 80000 £ per year.
You will collaborate with Analysts, Traders and Software Engineers cross-functionally.
Design and build scalable, high-performance end-to-end applications and implement quantitative models for structuring deal evaluations, trading, risk management and portfolio optimization.
Calibrate models to market data, including curves, volatilities, and correlations; perform back-testing, stress testing, and monitor model performance.
Implement robust applications to replace Excel-based processes where applicable, to enhance reliability, reduce operational complexity and minimise operational risk.
Take ownership of the delivery and maintenance of high-quality code and provide prompt, effective support to resolve issues as they arise.
Degree educated in either Computer Science, Mathematics, Statistics, Financial Engineering, or a related quantitative field.
Strong programming skills and advanced proficiency in Python.
Experience with front-end frameworks such as Angular or React, and understanding of database management, including SQL or NoSQL systems.
Experience with Continuous Integration/Continuous Deployment (CI/CD) practices and cloud computing platforms.
Quantitative Developer - Energy - London in City of London employer: Options Group
Contact Detail:
Options Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer - Energy - London in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working as Analysts or Traders. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and quantitative models. This will give potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of CI/CD practices. Practice common coding challenges and be ready to discuss your thought process during problem-solving.
✨Tip Number 4
Don’t forget to apply through our website! We often have exclusive listings that might not be found elsewhere. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Quantitative Developer - Energy - London in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant skills and experiences that match the job description. We want to see how your background in Computer Science or a related field aligns with our needs for a Quantitative Developer.
Showcase Your Projects: Include any projects where you've designed scalable applications or implemented quantitative models. This is your chance to show us your programming skills, especially in Python, and how you’ve tackled real-world problems.
Be Clear and Concise: When writing your cover letter, get straight to the point. We appreciate clarity, so explain why you're a great fit for the role and how you can contribute to our team without fluff.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Options Group
✨Know Your Quantitative Models
Make sure you brush up on the quantitative models relevant to the role. Be prepared to discuss how you've calibrated models to market data in the past, and be ready to explain your approach to back-testing and stress testing.
✨Show Off Your Coding Skills
Since strong programming skills in Python are a must, practice coding challenges beforehand. Be ready to demonstrate your proficiency, perhaps even by discussing a project where you implemented robust applications to replace Excel-based processes.
✨Familiarise Yourself with CI/CD Practices
Understanding Continuous Integration/Continuous Deployment is crucial. Be prepared to talk about your experience with these practices and how they can enhance the reliability of applications in a trading environment.
✨Communicate Cross-Functionally
As you'll be collaborating with Analysts, Traders, and Software Engineers, practice articulating complex technical concepts in simple terms. This will show that you can effectively communicate across different teams and contribute to a collaborative work environment.