Quantitative Trading & Research - Rates - Quantitative Developer - Vice President in London

Quantitative Trading & Research - Rates - Quantitative Developer - Vice President in London

London Full-Time 80000 - 120000 £ / year (est.) No working from home possible
TwinThread

At a Glance

  • Tasks: Design and build algorithmic trading systems for global Rates markets.
  • Company: Join a dynamic team at a leading financial institution.
  • Benefits: Competitive salary, diverse culture, and opportunities for growth.
  • Other info: Collaborative environment with a focus on innovation and continuous improvement.
  • Why this job: Make a real impact in systematic trading with cutting-edge technology.
  • Qualifications: Proficient in Java or C++, with data analysis skills in Python.

The predicted salary is between 80000 - 120000 £ per year.

Join a collaborative, fast‑paced team where your code powers systematic trading in global Rates markets. You will help transform research into robust, production‑grade strategies and platforms. Work closely with quantitative researchers and traders to design, build and evolve execution capabilities. Grow your impact by shaping models and systems used every day in live markets.

As a Quantitative Developer, Rates – Vice President in the Rates Quantitative Trading and Research team, you design and deliver production systems that enable systematic trading at scale. You partner with researchers and traders to translate ideas into resilient, performant algorithms and execution platforms. You thrive in a dynamic, collaborative environment and bring a builder’s mindset to continuously improve models, tooling and workflows.

Job Responsibilities

  • Design, build and maintain algorithmic trading systems and execution platforms for systematic Rates trading.
  • Implement quantitative models in production, translating research prototypes into robust, scalable strategies.
  • Collaborate with traders and researchers to refine models, quoting, hedging, risk management and allocation processes.
  • Engineer high‑quality, testable and observable code for reliability in live markets.
  • Optimise performance, latency and throughput of critical trading components.
  • Automate workflows and deployments to improve speed, safety and repeatability across the stack.
  • Monitor, diagnose and resolve production issues, contributing to continuous improvement.
  • Document designs, interfaces and operating procedures to support transparency and knowledge sharing.

Required Qualifications, Capabilities, and Skills

  • Proficiency in programming with Java, C++ or another object‑oriented language.
  • Experience performing data analysis in Python, including proficiency with data science libraries such as NumPy and pandas, and visualization tools.
  • Ability to translate quantitative models into reliable, maintainable production code.
  • Effective interpersonal and communication skills; ability to collaborate with traders, quantitative researchers and software engineers.
  • High attention to detail and a commitment to quality in fast‑paced environments.
  • Interest in financial markets and systematic trading.
  • Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, Engineering or another quantitative field.

Preferred Qualifications, Capabilities, and Skills

  • Knowledge of Fixed Income and Rates markets.
  • Experience with high‑frequency, algorithmic or electronic trading, including low‑latency and performance‑sensitive systems.

UK Regulated Activity

This role encompasses the performance of UK regulated activity. The successful candidate will therefore be subject to meeting UK regulatory requirements in the assessment of fitness, propriety, knowledge and competence (as assessed by the Firm) and (where appropriate) approval by the UK Financial Conduct Authority and/or the Prudential Regulation Authority to carry out such activities.

Equal Opportunity Employer

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental‑health or physical disability needs.

Quantitative Trading & Research - Rates - Quantitative Developer - Vice President in London employer: TwinThread

Join a leading firm that champions innovation and collaboration in the heart of the financial markets. As a Quantitative Developer, you will thrive in a dynamic environment that fosters professional growth and encourages a builder's mindset, allowing you to make a significant impact on systematic trading strategies. With a strong commitment to diversity and inclusion, our company offers a supportive culture where your contributions are valued and your career can flourish.

TwinThread

Contact Details:

TwinThread Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Quantitative Trading & Research - Rates - Quantitative Developer - Vice President in London

Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with alumni from your university. You never know who might have the inside scoop on job openings or can put in a good word for you.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those related to algorithmic trading or quantitative models. This gives potential employers a taste of what you can do and sets you apart from the crowd.

Tip Number 3

Prepare for interviews by brushing up on your coding skills and understanding the latest trends in financial markets. Practice common technical questions and be ready to discuss how you've tackled challenges in past projects.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at StudySmarter.

We think you need these skills to ace Quantitative Trading & Research - Rates - Quantitative Developer - Vice President in London

Java
C++
Python
Data Analysis
NumPy
pandas
Algorithm Design

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Quantitative Developer role. Highlight your programming prowess in Java or C++, and don’t forget to mention any experience with Python and data analysis tools like NumPy and pandas.

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about systematic trading and how your background in quantitative fields makes you a perfect fit for our team. Keep it concise but impactful!

Showcase Your Projects:If you've worked on relevant projects, whether in school or professionally, make sure to include them. Discuss how you’ve translated research into production code or built algorithmic trading systems. This will show us your hands-on experience!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company culture!

How to prepare for a job interview at TwinThread

Know Your Code Inside Out

As a Quantitative Developer, you'll need to demonstrate your coding prowess. Brush up on Java, C++, and Python, especially focusing on data analysis libraries like NumPy and pandas. Be ready to discuss your past projects and how you translated quantitative models into production code.

Understand the Financial Landscape

Familiarise yourself with Fixed Income and Rates markets. Show that you have a genuine interest in financial markets and systematic trading. This knowledge will not only impress your interviewers but also help you engage in meaningful discussions about the role.

Collaborate Like a Pro

This role is all about teamwork. Prepare to showcase your interpersonal skills and how you've successfully collaborated with traders and researchers in the past. Think of examples where your communication made a difference in project outcomes.

Prepare for Technical Challenges

Expect technical questions or coding challenges during the interview. Practice solving algorithmic problems and optimising code for performance and reliability. Being able to think on your feet and demonstrate your problem-solving skills will set you apart.