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- Tasks: Build innovative tools in Python/C++ for trading analysis and risk management.
- Company: Join CIBC, a trusted leader in financial services with a collaborative culture.
- Benefits: Competitive salary, career growth, and a supportive work environment.
- Why this job: Make a real impact by solving complex problems in the commodity trading space.
- Qualifications: Advanced degree in a quantitative field and experience with commodity derivatives.
- Other info: Dynamic team atmosphere focused on teamwork and accountability.
The predicted salary is between 43200 - 72000 £ per year.
Build tools, using Python and/or C++, to help the trading desk analyse market conditions, risk exposures, and scenario outcomes.
Work with the desk to identify gaps in tooling and provide innovative analytical solutions.
Work with large-scale market and risk datasets for modelling and analytics purposes.
Ensure robust data handling, efficiency, and computational performance in all model implementations.
Advanced degree in a quantitative discipline, e.g. Mathematics, Physics, Computer science, or a related field.
Prior experience of implementing commodity (ideally energy) derivatives pricing models.
Ability to program models in C++ on Windows (required) and Linux (desirable).
Ability to program in Python.
Proven ability to translate business requirements into technical solutions.
Excellent communication and teamwork skills.
Genuine passion for finding elegant and practical solutions to technical problems.
At CIBC, we are in business to help our clients, employees and shareholders achieve what is important to them. Our ability to create value for all CIBC stakeholders is driven by a business culture based on common values: Trust, Teamwork and Accountability. Working with CIBC makes you a part of a work environment committed to our clients, employees and communities - a place where you can excel. Every day, our 44,000 employees help our clients achieve their financial goals, because what matters to our clients, matters to us.
Executive Director, Commodity Quant 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 Executive Director, Commodity Quant
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at CIBC. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've built any tools or models in Python or C++, make sure to have them ready to discuss. Real examples of your work can really impress during interviews.
✨Tip Number 3
Prepare for technical questions! Brush up on your knowledge of commodity derivatives and be ready to explain how you've tackled similar challenges in the past. Confidence is key!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of the CIBC team.
We think you need these skills to ace Executive Director, Commodity Quant
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills in Python and C++. We want to see how you can build tools that help analyse market conditions, so don’t hold back on showcasing your technical prowess!
Tailor Your Application: Take a moment to customise your application for the Executive Director, Commodity Quant role. Mention your experience with commodity derivatives pricing models and how you've tackled similar challenges in the past.
Communicate Clearly: We value excellent communication and teamwork skills, so make sure your application reflects that. Use clear language to explain how you've translated business requirements into technical solutions in previous roles.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at CIBC.
How to prepare for a job interview at Canadian Imperial Bank of Commerce
✨Know Your Tech Inside Out
Make sure you're well-versed in Python and C++. Brush up on your coding skills and be ready to discuss specific projects where you've used these languages. Prepare to explain how you’ve built tools for analysing market conditions or risk exposures.
✨Showcase Your Analytical Mindset
Be prepared to talk about your experience with large-scale datasets and how you've approached modelling and analytics. Think of examples where you've identified gaps in tooling and provided innovative solutions, as this will demonstrate your problem-solving abilities.
✨Communicate Clearly and Effectively
Since teamwork is key, practice explaining complex technical concepts in simple terms. You might be asked to translate business requirements into technical solutions, so being able to communicate clearly will set you apart from other candidates.
✨Demonstrate Your Passion
Let your genuine enthusiasm for finding elegant solutions shine through. Share stories that highlight your passion for the field, especially in relation to commodity derivatives pricing models. This will resonate well with the interviewers and show that you’re a great fit for their culture.
