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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-impact, fast-paced 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 London employer: Maxwell Bond
Contact Detail:
Maxwell Bond Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer in 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 or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python implementations and any quant models you've developed. This is your chance to demonstrate your expertise in fixed income pricing and risk analytics, making you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss advanced quantitative techniques like Monte Carlo simulations and SDEs. Practise explaining complex concepts in simple terms, as you'll need to communicate effectively with traders and stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We have a range of opportunities that could be perfect for you. Plus, applying directly can sometimes give you an edge over other candidates. So, get your application in and let’s land that dream job together!
We think you need these skills to ace Quantitative Developer in 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 passion for quantitative development and how your background aligns with the needs of the investment banking sector.
Showcase Your Technical Skills: Be specific about your technical skills in your application. Include details about 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’s the best way for us to receive your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Maxwell Bond
✨Know Your Quant Models Inside Out
Make sure you can discuss the fixed income pricing, valuation, and risk analytics models in detail. Be prepared to explain how you've built or enhanced these models in the past, and be ready to dive into specifics about Monte Carlo simulations and SDEs.
✨Showcase Your Python Skills
Since this role heavily relies on Python for quant modelling, brush up on your coding skills. Bring examples of your previous work, especially any production-grade implementations you've done, and be ready to solve coding challenges during the interview.
✨Communicate Like a Pro
You'll be working closely with traders and senior stakeholders, so practice explaining complex quantitative concepts in simple terms. Highlight your experience in translating business needs into technical solutions, as this will be key in your role.
✨Stay Updated on Market Trends
Demonstrate your knowledge of current market trends and regulatory changes that impact fixed income trading. Being able to discuss recent developments shows your commitment to continuous improvement and your ability to adapt to the fast-paced environment.
