At a Glance
- Tasks: Join our EU Credit Algo team to develop trading strategies and analyse market data.
- Company: Royal Bank of Canada, a leading global bank with a collaborative culture.
- Benefits: Competitive salary, bonuses, flexible benefits, and opportunities for professional growth.
- Why this job: Make a real impact in the finance world while working with cutting-edge technology.
- Qualifications: Experience in Python/R, large datasets, and a quantitative degree are essential.
- Other info: Dynamic team environment with opportunities for career advancement.
The predicted salary is between 36000 - 60000 £ per year.
What is the Opportunity?
We are seeking a Quant Strat to join the EU Credit Algo team with experience working as a desk quant or within a quant team focused on algorithmic pricing, preferably with an understanding of European credit market microstructure. RBC's expectation is that all employees and contractors will work in the office with some flexibility to work up to 1 day per week remotely, depending on working arrangements.
What will you do?
- Model development: refine and extend existing trading strategies, apply research and statistical analysis to evaluate bonds
- Data analysis: work with large datasets to identify alpha opportunities and find market patterns
- Risk management: work on risk factor modelling, hedging strategies and portfolio optimisation
- Testing and validation: implement backtesting strategies and perform ongoing monitoring to analyse strategy performance
What do you need to succeed?
Must Have
- Experience with prototyping or scripting languages (Python/R) supplemented with some experience in a core language (Java/C++)
- Experience working with large datasets
- Hands‐on experience working with datasets for signals research in fixed income or equity
- Candidates holding a post‐graduate degree in a quantitative field (including but not limited to engineering, computer science, physics and maths) with a deep knowledge of probability, statistics and numerical analysis
- Strong attention to detail with a commitment to delivering high‐quality work
- Strong written and verbal communication skills
Nice to have
- Knowledge of optimisation (optimal control), statistical modelling, numerical methods, linear algebra
- Experience with light‐weight UI frameworks (e.g. Plotly Dash, Streamlit)
- Experience working on European Corporate Bond products
- Experience in systematic trading
What’s in it for you?
We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.
- A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
- Leaders who support your development through coaching and managing opportunities
- Ability to make a difference and lasting impact
- Work in a dynamic, collaborative, progressive, and high‐performing team
- Opportunities to do challenging work
- Opportunities to take on progressively greater accountabilities
Inclusion and Equal Opportunity Employment
At RBC, we believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.
Associate/VP Credit Quant Strat in London employer: Royal Bank of Canada
Contact Detail:
Royal Bank of Canada Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Associate/VP Credit Quant Strat in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at RBC or similar firms. 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 got experience with Python or R, consider creating a small project or analysis to showcase your abilities. Share it on platforms like GitHub to make it easy for recruiters to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your quantitative skills and market knowledge. Be ready to discuss your past projects and how they relate to the role. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in the position at RBC.
We think you need these skills to ace Associate/VP Credit Quant Strat in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Associate/VP Credit Quant Strat role. Highlight your experience with algorithmic pricing and large datasets, as these are key aspects of the job. We want to see how your skills align with what we're looking for!
Showcase Your Technical Skills: Since this role requires proficiency in languages like Python or R, don’t forget to mention any relevant projects or experiences. If you've worked on risk factor modelling or portfolio optimisation, let us know! We love seeing hands-on experience.
Communicate Clearly: Strong written communication is a must-have for this position. Make sure your application is clear, concise, and free of jargon. We appreciate candidates who can convey complex ideas simply, so show us your best writing skills!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our team at RBC!
How to prepare for a job interview at Royal Bank of Canada
✨Know Your Quant Skills
Brush up on your knowledge of probability, statistics, and numerical analysis. Be ready to discuss how you've applied these skills in past projects, especially in relation to algorithmic pricing or risk management.
✨Showcase Your Data Experience
Prepare examples of how you've worked with large datasets, particularly in fixed income or equity. Highlight any specific tools or languages you've used, like Python or R, to analyse data and identify alpha opportunities.
✨Understand the European Credit Market
Familiarise yourself with the microstructure of the European credit market. Be prepared to discuss recent trends or challenges in this area and how they might impact trading strategies.
✨Communicate Clearly
Strong communication skills are key. Practice explaining complex quantitative concepts in simple terms, as you may need to convey your ideas to non-technical stakeholders during the interview.