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 professional 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 - 100000 £ 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.
Rates Quant Dev VP - Production Trading Systems in London employer: TwinThread
Join a leading firm that champions innovation and collaboration in the heart of the financial markets. As a Rates Quant Dev VP, you will thrive in a dynamic environment that not only values your technical expertise but also fosters continuous learning and growth. With a strong commitment to diversity and inclusion, we offer a supportive culture where your contributions directly impact our trading strategies and success.
StudySmarter Expert Advice🤫
We think this is how you could land Rates Quant Dev VP - Production Trading Systems in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨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 technical interviews by brushing up on your coding skills and understanding of financial markets. Practice common algorithms and data structures, and be ready to discuss how you've applied your knowledge in real-world scenarios.
✨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 Rates Quant Dev VP - Production Trading Systems in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the job description. Highlight your programming expertise in Java or C++, and any experience with Python data analysis. We want to see how you can contribute to our Rates Quant team!
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 makes you a great fit for the role. Don’t forget to mention your collaborative spirit and builder’s mindset, as these are key to our team culture.
Showcase Relevant Projects:If you've worked on projects related to algorithmic trading or quantitative models, make sure to include them. We love seeing real-world applications of your skills, so share any relevant experiences that demonstrate your ability to translate research into production-grade systems.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at TwinThread
✨Know Your Code Inside Out
Make sure you’re well-versed in the programming languages mentioned in the job description, especially Java and C++. Be ready to discuss your past projects and how you’ve implemented quantitative models into production code.
✨Brush Up on Financial Markets
Since this role is all about Rates trading, it’s crucial to have a solid understanding of Fixed Income and Rates markets. Familiarise yourself with current trends and be prepared to discuss how they might impact algorithmic trading strategies.
✨Show Off Your Collaboration Skills
This position requires working closely with traders and researchers, so be ready to share examples of how you’ve successfully collaborated in the past. Highlight your communication skills and how you’ve contributed to team projects.
✨Prepare for Technical Challenges
Expect technical questions that test your problem-solving abilities and coding skills. Practice coding challenges related to algorithm design and optimisation, as well as scenarios that require you to diagnose and resolve production issues.