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- Tasks: Enhance a Python-based options pricing library and develop risk libraries.
- Company: Leading energy trading firm in the UK with a focus on innovation.
- Benefits: Competitive salary, professional development, and a dynamic work environment.
- Why this job: Join a cutting-edge team and make an impact in the energy trading sector.
- Qualifications: 5-10 years of quantitative development experience and strong Python skills.
- Other info: Ideal for mid-senior level professionals seeking growth opportunities.
The predicted salary is between 48000 - 72000 £ per year.
A leading energy trading firm in the UK seeks a Quant Developer to enhance a Python-based options pricing library. The successful candidate will have 5-10 years of experience in quantitative development, a strong grasp of option pricing theories, and expertise in Python programming. This full-time position requires robust skills in developing risk libraries and aligning them with front office risk systems, ideal for mid-senior level professionals in information technology.
Quant Developer: Options Pricing & Risk (Python) in London employer: Cititec
Contact Detail:
Cititec Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Developer: Options Pricing & Risk (Python) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and tech sectors. Attend industry meetups or webinars to meet potential employers and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to options pricing and risk management. This will give you an edge and demonstrate your expertise.
✨Tip Number 3
Prepare for interviews by brushing up on your quantitative skills and option pricing theories. Practice coding challenges that focus on Python to ensure you're ready to impress during technical interviews.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and experience. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Quant Developer: Options Pricing & Risk (Python) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in quantitative development and Python programming. We want to see how your skills align with the options pricing theories and risk libraries mentioned in the job description.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Share specific examples of your past work that relate to enhancing pricing libraries and developing risk systems.
Showcase Your Technical Skills: Don’t forget to include any relevant projects or achievements that demonstrate your expertise in Python and quantitative analysis. We love seeing real-world applications of your skills!
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 don’t miss out on any important updates from our team.
How to prepare for a job interview at Cititec
✨Brush Up on Your Python Skills
Make sure you're comfortable with Python, especially in the context of options pricing. Review key libraries and frameworks that are commonly used in quantitative development. Practising coding challenges related to financial models can also give you a solid edge.
✨Understand Options Pricing Theories
Dive deep into the theories behind options pricing. Be prepared to discuss concepts like Black-Scholes, binomial models, and Greeks. Having a few examples or case studies ready to share can demonstrate your expertise and understanding of the subject matter.
✨Familiarise Yourself with Risk Libraries
Since the role involves developing risk libraries, brush up on how these align with front office risk systems. Be ready to discuss your experience in this area and any relevant projects you've worked on. Showing that you can bridge the gap between development and risk management will impress the interviewers.
✨Prepare for Technical Questions
Expect technical questions that test your problem-solving skills and knowledge of quantitative finance. Practice explaining your thought process clearly and concisely. Mock interviews with peers can help you get comfortable with articulating complex ideas under pressure.
