Quantitative Investment Strategies Structuring, Associate, (London)
100 BISHOPSGATE:LONDON, United Kingdom
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Job Summary
Job Description
What is the opportunity?
An exciting opportunity to join as an Associate in London within quantitative investment strategies (QIS) structuring team.
What will you do?
Strategy Development:
- Design and structure bespoke quantitative investment strategies (QIS), leveraging advanced financial models and analytics.
- Develop systematic strategies across asset classes, including equities, fixed income, commodities, and currencies.
- Incorporate risk management, optimization techniques, and performance metrics into strategy design.
Product Structuring:
- Create structured products linked to QIS strategies, such as index-linked notes, swaps, and other derivatives.
- Work closely with legal, compliance, and risk teams to ensure all products meet regulatory and internal requirements.
Client Engagement:
- Collaborate with sales teams to understand client objectives and present tailored QIS solutions.
- Prepare and deliver presentations, pitch books, and technical materials to explain strategy concepts to clients.
- Build and maintain strong client relationships by providing ongoing support and updates.
Market Analysis:
- Monitor and analyze market trends, regulatory changes, and competitive landscape to identify new opportunities for QIS products.
- Provide insights on market dynamics and their impact on strategy performance.
Collaboration and Innovation:
- Partner with quantitative researchers and developers to enhance existing strategies and create new ones.
What do you need to succeed?
Must have
- Bachelor’s or master’s degree in Finance, Mathematics, Statistics, Engineering, Computer Science, or a related field.
- Proven experience in equity derivatives/QIS Structuring.
- Strong object-oriented programming background: Programming languages Python (absolute must).
- Self-driven – able to cope in high pressure environment
- Good presentation and interpersonal skills
- Team player
- Integrity
- Robust understanding of Equity Derivatives.
Nice to have
- FCA Registered
- Other programming languages like C++, VBA is plus.
What is 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, flexible benefits and competitive compensation
- Leaders who support your development through coaching and managing opportunities
- Opportunities to work with the best in the field
- Ability to make a difference and lasting impact
- Work in a dynamic, collaborative, progressive, and high-performing team
- A world-class training program in financial services
Job Skills
Adaptability, Critical Thinking, Customer Service, Detail-Oriented, Financial Analysis, Financial Engineering, Financial Statement Analysis, Investments Analysis, Personal Development, Personal Initiative, Python for Data Analysis, Python Numpy, Python Software Development, Quantitative Investment, Structured Products, TeamworkAdditional Job Details
Address:
100 BISHOPSGATE:LONDONCity:
LondonCountry:
United KingdomWork hours/week:
35Employment Type:
Full timePlatform:
CAPITAL MARKETSJob Type:
RegularPay Type:
SalariedPosted Date:
2025-07-14Application Deadline:
2025-07-29Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
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.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data analysis Engineering Finance Mathematics NumPy OOP Python Statistics
Perks/benefits: Career development Competitive pay Equity / stock options Flex hours Team events
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