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- Tasks: Build and enhance fixed income pricing models using advanced quantitative techniques.
- Company: Leading consultancy working with top-tier Investment Banking clients in London.
- Benefits: Competitive daily rate, flexible start date, and dynamic work environment.
- Why this job: Make a real impact on trading decisions with your quant skills and Python expertise.
- Qualifications: 8+ years in quantitative development with strong fixed income knowledge.
- Other info: Collaborate directly with traders and enjoy high ownership of your work.
The predicted salary is between 60000 - 84000 £ per year.
A leading consultancy is hiring an experienced FICC Quant Developer to support an Investment Banking client in the City of London. This is a hands-on, front-office aligned role focused on building and enhancing fixed income pricing, valuation, and risk analytics models used by trading and investment teams.
You will work directly with traders and senior technologists to deliver robust quant solutions, improve model performance, and support key trading decisions. This role suits someone who enjoys deep technical work and can translate complex quantitative research into production-grade Python implementations.
What you’ll be doing:
- Build, validate, and enhance fixed income pricing, valuation, and analytics models.
- Implement advanced quantitative techniques including:
- Monte Carlo simulations
- Stochastic Differential Equation (SDE) based models
- XVA calculations (CVA/FVA/etc.)
Key deliverables:
- Production-ready Python implementations of fixed income models and analytics.
- Documented model assumptions, limitations, and validation results.
- Tools and enhancements that improve desk efficiency, pricing accuracy, and risk reporting.
Required experience:
- 8+ years’ experience in quantitative development / quantitative modelling.
- Strong Fixed Income domain knowledge, including pricing, valuation, and risk analytics.
- Proven front-office or trading desk engagement experience.
- Strong track record delivering quant models into production environments.
Technical skills (must-have):
- Advanced Python development for quant modelling (preferred).
- Strong knowledge of fixed income modelling techniques including:
- Monte Carlo
- SDEs
- Stochastic modelling approaches
Nice to have:
- C# or C++ experience in quant development environments.
- Familiarity with Bloomberg or other market data providers.
- Database experience (SQL, data pipelines, or model data stores).
- ML/DL experience applied to market data, forecasting, calibration, or analytics.
Education:
- Postgraduate degree (MSc/PhD preferred) in:
- Financial Engineering
- Mathematics
- Physics
- Economics
- or a closely related quantitative discipline.
Behavioural competencies:
- Strong communication skills, you will work directly with traders and senior stakeholders.
- Comfortable operating in a fast-paced front-office environment.
- High ownership, independence, and attention to detail.
- Strong problem-solving mindset with the ability to work across multiple priorities.
What makes this role different:
- You will be reading PhD-level quantitative research papers and implementing the models in Python.
- You will work closely with traders to validate assumptions and ensure models are accurate, complete, and usable in real trading conditions.
- High-impact work, your outputs directly influence pricing, analytics, and trading decisions.
Please apply if this sounds like you for more information.
Quantitative Developer in City of London employer: Maxwell Bond
Contact Detail:
Maxwell Bond Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and tech sectors. Attend meetups or webinars related to quantitative development. 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 implementations and any quant models you've developed. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of fixed income models and be ready to discuss your past experiences. Practise explaining complex concepts in simple terms, as you'll need to communicate effectively with traders.
✨Tip Number 4
Don't forget to apply through our website! We have loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our team directly!
We think you need these skills to ace Quantitative Developer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Quant Developer role. Highlight your experience with Python and fixed income models, and don’t forget to mention any relevant projects or achievements that showcase your skills.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Mention your experience in quantitative development and how you can contribute to the team’s success.
Showcase Your Technical Skills: Be specific about your technical skills in your application. Mention your experience with Monte Carlo simulations, SDEs, and any other relevant techniques. This will help us see your expertise right away!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Maxwell Bond
✨Know Your Quantitative Stuff
Brush up on your quantitative modelling techniques, especially those related to fixed income. Be ready to discuss Monte Carlo simulations and SDEs in detail, as well as how you've implemented these in Python before.
✨Showcase Your Communication Skills
Since you'll be working closely with traders and senior stakeholders, practice explaining complex concepts in simple terms. Prepare examples of how you've successfully communicated technical information to non-technical team members.
✨Demonstrate Problem-Solving Abilities
Think of specific instances where you've tackled challenging problems in a fast-paced environment. Be prepared to discuss your thought process and the steps you took to arrive at a solution, especially in relation to model validation and performance analysis.
✨Familiarise Yourself with the Company’s Tools
Research the tools and technologies used by the consultancy and their clients. If they use specific platforms for data quality checks or model validation, mention your experience with similar tools or express your eagerness to learn them quickly.
