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- Tasks: Develop and refine trading strategies while analysing large datasets for market patterns.
- Company: Join the Royal Bank of Canada, a leader in financial services.
- Benefits: Competitive salary, bonuses, flexible benefits, and opportunities for professional growth.
- Why this job: Make a real impact in a dynamic team focused on innovative financial solutions.
- Qualifications: Experience in Python/R, strong analytical skills, and a quantitative degree.
- Other info: Collaborative environment with opportunities for challenging work and 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 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
✨Tip Number 1
Network like a pro! Reach out to current or former employees at RBC through LinkedIn. A friendly chat can give us insider info about the team and the role, plus it might just get your name on the hiring manager's radar.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since this role involves algorithmic pricing and data analysis, we should be ready to discuss our experience with Python or R, and how we've tackled large datasets in the past.
✨Tip Number 3
Showcase your problem-solving skills! During interviews, we can expect scenario-based questions. Think of examples where you've developed models or strategies that led to successful outcomes in previous roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we can tailor our application to highlight how our skills align with what RBC is looking for in a Credit Quant Strat.
We think you need these skills to ace Associate/VP Credit Quant Strat
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Associate/VP Credit Quant Strat role. Highlight your experience with algorithmic pricing and large datasets, as well as any relevant projects that showcase your skills in Python or R.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background aligns with RBC's needs. Don't forget to mention your understanding of European credit market microstructure!
Showcase Your Quant Skills: In your application, be sure to highlight your quantitative skills and any hands-on experience you've had with risk management or statistical modelling. This is key for standing out in a competitive field like this.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets seen by the right people. Plus, it shows 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 previous roles, especially in relation to algorithmic pricing and 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 projects where you identified alpha opportunities or market patterns, as this will resonate well with the interviewers.
✨Demonstrate Your Coding Proficiency
Make sure you're comfortable discussing your experience with prototyping or scripting languages like Python or R. Be ready to explain how you've used these tools for model development or backtesting strategies.
✨Communicate Clearly
Strong communication skills are a must. Practice explaining complex concepts in simple terms, as you'll need to convey your ideas effectively to both technical and non-technical stakeholders during the interview.