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- Tasks: Build and enhance fixed income models, translating complex research into Python implementations.
- Company: Leading consultancy working with top-tier Investment Banking clients in London.
- Benefits: Competitive daily rate, flexible start date, and a dynamic work environment.
- Why this job: Make a real impact on trading decisions while working with cutting-edge quantitative techniques.
- Qualifications: 8+ years in quantitative development with strong fixed income knowledge.
- Other info: Collaborate directly with traders and enjoy high-impact, hands-on work.
The predicted salary is between 60000 - 84000 £ per year.
Making sure you fit the guidelines as an applicant for this role is essential, please read the below carefully.
Location: London City (2 to 3 days per week onsite, client-facing)
Rate: Up to £700 - £800 per day
Contract Type: Consultancy contract working with an Investment Banking end client
Start: ASAP (flexible)
Duration: 12 months
Overview
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
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.
Quant Developer in London employer: Maxwell Bond
Contact Detail:
Maxwell Bond Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Developer in London
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the quant space. Building relationships can open doors that a CV just can’t.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back on showcasing your Python prowess and quant knowledge. Bring examples of your work or projects that highlight your experience with fixed income models and analytics.
✨Tailor Your Approach
Every conversation is an opportunity! Make sure to tailor your discussions to the specific needs of the role. Talk about how your skills in Monte Carlo simulations and SDEs can directly benefit their trading desk.
✨Apply Through Us!
Don’t forget to apply through our website! We’re here to help you land that dream job as a Quant Developer. Plus, it gives us a chance to see your application first-hand and support you in the process.
We think you need these skills to ace Quant 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 fixed income models, Python development, and any relevant quantitative techniques you've used. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific projects or examples where you've built or enhanced quant models. If you've worked on Monte Carlo simulations or SDE-based models, let us know! This helps us understand your hands-on experience and technical prowess.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for key achievements and avoid jargon unless it's relevant. We appreciate straightforward communication that gets to the heart of your qualifications.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you're keen on joining our team at StudySmarter!
How to prepare for a job interview at Maxwell Bond
✨Know Your Quant Stuff
Make sure you brush up on your quantitative finance knowledge, especially around fixed income models. Be ready to discuss Monte Carlo simulations, SDEs, and XVA calculations in detail. The interviewers will likely want to see how well you can translate complex concepts into practical applications.
✨Show Off Your Python Skills
Since this role heavily relies on Python for quant modelling, be prepared to demonstrate your coding skills. You might be asked to solve a problem or even write a small piece of code during the interview. Practise common algorithms and data structures in Python to ensure you're sharp.
✨Engage with the Traders' Perspective
This position involves working closely with traders, so it’s crucial to understand their needs and challenges. Think about how you can improve their workflows and be ready to discuss how your previous experiences align with supporting trading decisions. Showing that you can bridge the gap between tech and trading will set you apart.
✨Prepare for Real-World Scenarios
Expect scenario-based questions where you’ll need to apply your knowledge to real-world problems. Practise explaining your thought process clearly and logically. This will not only showcase your technical skills but also your ability to communicate effectively with non-technical stakeholders.
