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- Tasks: Develop analytical tools using Python and C++ for market analysis.
- Company: Leading financial institution in the UK with a focus on client success.
- Benefits: Collaborative environment and opportunities for professional growth.
- Why this job: Make an impact by delivering innovative solutions in a dynamic financial setting.
- Qualifications: Advanced degree in a quantitative field and experience with energy derivatives pricing models.
- Other info: Work closely with the trading desk to enhance analytical capabilities.
The predicted salary is between 48000 - 72000 £ per year.
A leading financial institution in the UK is seeking a candidate to develop tools using Python and C++ for market analysis. You will collaborate with the trading desk to identify tooling gaps and deliver analytical solutions, working with large datasets for improved modeling.
Ideal candidates have:
- An advanced degree in a quantitative field
- Experience with energy derivatives pricing models
This role offers an opportunity to thrive in a collaborative environment focused on client success.
Director, Commodity Quant Analytics & Tooling employer: Canadian Imperial Bank of Commerce
Contact Detail:
Canadian Imperial Bank of Commerce Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director, Commodity Quant Analytics & Tooling
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and analytics space on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python and C++ projects, especially those related to market analysis or energy derivatives. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your quantitative skills and understanding of energy derivatives pricing models. Practice common interview questions and be ready to discuss how you've tackled similar challenges in the past.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Director, Commodity Quant Analytics & Tooling
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and C++ in your application. We want to see how you've used these tools for market analysis or similar projects, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention your experience with energy derivatives pricing models and how it relates to the job description. We love seeing candidates who take the time to connect their background with our needs.
Collaborative Spirit: Since this role involves working closely with the trading desk, share examples of how you’ve successfully collaborated in the past. We’re all about teamwork here at StudySmarter, and we want to know how you can contribute to our collaborative environment.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at Canadian Imperial Bank of Commerce
✨Know Your Tech Inside Out
Make sure you brush up on your Python and C++ skills before the interview. Be ready to discuss specific projects where you've used these languages, especially in developing tools for market analysis or working with large datasets.
✨Understand Energy Derivatives
Since the role involves energy derivatives pricing models, take some time to review key concepts and recent trends in this area. Being able to speak knowledgeably about these topics will show your expertise and enthusiasm for the role.
✨Collaborate Like a Pro
This position emphasises collaboration with the trading desk, so be prepared to share examples of how you've successfully worked in teams. Highlight any experiences where you identified gaps and delivered solutions that benefited your colleagues or clients.
✨Showcase Your Analytical Mindset
Prepare to discuss your approach to problem-solving and data analysis. Think of specific instances where your analytical skills led to improved modelling or decision-making, and be ready to explain your thought process during the interview.
