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- Tasks: Join us as a Quant Developer, building cutting-edge e-trading platforms and market-making models.
- Company: Be part of a leading financial firm in London, driving innovation in the trading space.
- Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
- Why this job: Make an impact by collaborating with traders and senior management on exciting projects.
- Qualifications: Strong programming skills in Python and C#, with a passion for finance and analytics.
- Other info: This is a permanent role with opportunities to work on international projects.
The predicted salary is between 60000 - 84000 £ per year.
We have a current opportunity for a Linear Rates Quant Developer on a permanent basis. The position will be based in London. For further information about this position please apply.
Key contributor to new e-trading platform buildout effort, leading the implementation of pricing and curve construction analytics in Python & C#. Developed market-making models in collaboration with traders. Play a central role in specifying and designing tooling and diagnostics for live solvers, RFQ pricing and risk. Partner with the Head of FICC E-Trading Engineering on the architecture design for low-latency systems leveraging fast optimizers and algorithmic automatic differentiation (AAD).
- Develop and maintain yield curve modelling frameworks for pricing and risk management of linear interest rate products (swaps, bonds, futures) and cross-currency swaps.
- Engage in strategic discussions with senior management and business leaders to enhance international hiring, reduce operational risk, and streamline global support for the fixed income e-trading business.
- Successfully lead desk projects in collaboration with North American teams.
Quantitative Developer employer: Huxley
Contact Detail:
Huxley Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative finance and e-trading platforms. Understanding the current market dynamics and technological advancements will help you engage in meaningful conversations during interviews.
✨Tip Number 2
Brush up on your Python and C# skills, as these are crucial for the role. Consider working on personal projects or contributing to open-source projects that involve pricing models or algorithmic trading to showcase your expertise.
✨Tip Number 3
Network with professionals in the quantitative finance space, especially those involved in e-trading. Attend industry meetups or webinars to connect with potential colleagues and gain insights into the company culture at StudySmarter.
✨Tip Number 4
Prepare to discuss your experience with yield curve modelling and risk management during interviews. Be ready to provide examples of how you've successfully implemented these frameworks in past roles or projects.
We think you need these skills to ace Quantitative Developer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Quantitative Developer. Familiarise yourself with key concepts like pricing models, curve construction analytics, and the technologies mentioned in the job description, such as Python and C#.
Tailor Your CV: Highlight your relevant experience in quantitative development, particularly any work with e-trading platforms or market-making models. Be specific about your contributions to projects and the technologies you've used, ensuring they align with the job requirements.
Craft a Compelling Cover Letter: Use your cover letter to explain why you're a great fit for this role. Discuss your experience with yield curve modelling and any strategic discussions you've had with senior management. Show enthusiasm for the opportunity to contribute to the e-trading platform buildout.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter. Look for any spelling or grammatical errors, and ensure that all technical terms are used correctly. A polished application reflects your attention to detail, which is crucial in quantitative roles.
How to prepare for a job interview at Huxley
✨Showcase Your Technical Skills
As a Quantitative Developer, you'll need to demonstrate your proficiency in Python and C#. Be prepared to discuss specific projects where you've implemented pricing models or developed analytics tools, and consider bringing code samples or project documentation to illustrate your experience.
✨Understand the Business Context
Familiarise yourself with the fixed income e-trading landscape and the role of linear interest rate products. Being able to discuss how your technical skills can enhance trading strategies or reduce operational risks will show that you understand the bigger picture and can contribute meaningfully.
✨Prepare for Problem-Solving Questions
Expect to face technical problem-solving questions during the interview. Practice coding challenges related to algorithmic differentiation and low-latency systems, as these are crucial for the role. Demonstrating your thought process and approach to solving complex problems will impress your interviewers.
✨Engage with Strategic Discussions
Since the role involves engaging with senior management, be ready to discuss your ideas on enhancing international hiring and streamlining support for the e-trading business. Showing that you can think strategically and communicate effectively with leadership will set you apart from other candidates.
