At a Glance
- Tasks: Design and develop cutting-edge credit trading infrastructure and analytics tools.
- Company: Leading global investment bank in the heart of London.
- Benefits: Competitive day rate, potential for contract extension, and exposure to innovative technologies.
- Other info: Dynamic role with opportunities to collaborate with front office teams and enhance your skills.
- Why this job: Join a high-profile team and make a real impact in modernising trading systems.
- Qualifications: Strong Python and Java development experience, especially in trading environments.
A leading global investment bank in the City of London is looking to hire a Credit Systematic Trading Developer on a contract basis. This is an initial 6 month contract with strong potential to extend, paying a day rate in the region of £800 to £925 per day. This role sits within a front office systematic credit trading team focused on building and enhancing the end-to-end trading platform supporting corporate bonds across Investment Grade, High Yield and Emerging Markets. The business is investing heavily into the automation and modernisation of its credit trading infrastructure and is looking for a strong developer to work across pricing, execution, risk and real-time analytics.
Key responsibilities
- Design and develop systematic credit trading infrastructure
- Build pricing, risk and PnL services
- Develop market data and analytics pipelines
- Implement FIX connectivity and RFQ automation
- Support model deployment and productionisation
- Build real-time dashboards and monitoring tools
- Work closely with Trading, Quant and Risk teams
Experience required
- Strong Python development experience within trading or quant environments
- Java development experience within distributed or low-latency systems
- Experience within credit trading, fixed income or electronic trading
- Strong FIX protocol knowledge
- Experience with Kafka, PostgreSQL, KDB+ or similar technologies
- Knowledge of quantitative or statistical modelling
- Experience with Docker, Kubernetes and CI/CD environments
- Strong stakeholder communication skills across front office teams
Beneficial
- Experience with MarketAxess, Tradeweb or Bloomberg
- Exposure to AWS or cloud environments
- React or TypeScript front end development experience
- Knowledge of risk analytics, RFQ automation or market data platforms
This is an excellent opportunity to join a high-profile front office technology programme within a global investment bank. If you are a Credit Systematic Trading Developer with the above experience, please respond with an up to date CV.
Credit Systematic Trading Developer employer: McCabe & Barton
As a leading global investment bank located in the heart of the City of London, we offer an exceptional work environment that fosters innovation and collaboration. Our commitment to investing in cutting-edge technology and automation provides our employees with unique opportunities for professional growth and development within a dynamic front office setting. Join us to be part of a high-profile team where your contributions directly impact the future of credit trading.
StudySmarter Expert Advice🤫
We think this is how you could land Credit Systematic Trading Developer
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and tech sectors. Attend meetups or webinars related to trading and development. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to credit trading or systematic development. This can really set you apart when you're chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with Python, Java, and FIX protocol. Practising common interview questions can help you feel more confident when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Credit Systematic Trading Developer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Credit Systematic Trading Developer. Highlight your Python and Java experience, especially in trading environments, and don’t forget to mention any relevant projects or technologies you've worked with.
Showcase Your Skills:In your application, clearly showcase your skills in FIX protocol, market data pipelines, and real-time analytics. Use specific examples to demonstrate how you've applied these skills in previous roles, as this will help us see your fit for the team.
Keep It Professional Yet Engaging:While we want to see your personality shine through, keep your tone professional. A friendly yet concise writing style can make your application stand out, so don’t be afraid to let us know why you’re passionate about this role!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. This way, we can easily track your application and get back to you quicker. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at McCabe & Barton
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and Java. Brush up on your knowledge of FIX protocol and any relevant tools like Kafka or PostgreSQL. Being able to discuss these confidently will show that you’re ready to hit the ground running.
✨Understand the Trading Environment
Familiarise yourself with the credit trading landscape, including corporate bonds and the differences between Investment Grade, High Yield, and Emerging Markets. This knowledge will help you engage in meaningful conversations about the role and demonstrate your genuine interest in the field.
✨Prepare for Technical Questions
Expect to face technical questions that assess your coding skills and problem-solving abilities. Practice coding challenges related to low-latency systems and quantitative modelling. Being prepared will not only boost your confidence but also showcase your expertise.
✨Showcase Your Communication Skills
Since the role involves working closely with various teams, highlight your communication skills during the interview. Be ready to discuss how you’ve effectively collaborated with stakeholders in the past, as this will be crucial for success in a front office environment.
