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- Tasks: Develop and maintain cutting-edge reference data systems for real-time risk management.
- Company: Global prime brokerage and credit network with a tech-driven approach.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Shape the future of trading infrastructure using modern technologies and make a real impact.
- Qualifications: Strong Python skills and 5+ years in software development; finance background preferred.
- Other info: Collaborate with top engineers and quantitative specialists in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
Our client is a global institutional-grade prime brokerage and credit network, providing clearing, financing, and risk management across both traditional and digital assets. You will help operate a technology-driven platform designed for real-time risk management across multiple venues and asset classes. Your primary responsibility will be to develop and maintain the reference data service, sitting at the nexus of engineering and owning the beating heart of the franchise. This is an opportunity to create the next-generation interface to the core data system, directly influencing mission-critical trading and risk infrastructure. You will work hands-on with modern technologies such as Python, AWS, Kafka, Redis, and GraphQL to build robust, production-grade solutions. Collaboration with top-tier engineers and quantitative specialists will be central to your role as you deliver tools that power trading and risk management.
Responsibilities
- Contribute to next-generation reference data systems, directly impacting decision-making and execution
- Shape the core data infrastructure by modelling new financial assets and derivatives for the enterprise reference data system
- Design and optimize ETL workflows for large-scale, high-performance environments
- Drive scalability and performance improvements in systems that power global trading operations
- Build ORM models and database solutions that ensure reliability and flexibility
Requirements
- Strong Python coding skills for production-grade systems
- 5+ years of software development experience at a top-tier firm
- BS or higher in Computer Science, Mathematics, or related field
- Experience with databases, ORM models, and ETL workflows
- Familiarity with AWS, Kafka, Redis, and GraphQL
- Background in financial reference data and large-scale systems
Quantitative Developer - Enterprise Data employer: Selby Jennings
Contact Detail:
Selby Jennings Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer - Enterprise Data
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and tech sectors on LinkedIn. Join relevant groups and participate in discussions to get your name out there. You never know who might have a lead on that Quantitative Developer role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, AWS, or any of the other technologies mentioned in the job description. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of financial systems. Practice common algorithms and data structures, and be ready to discuss your past experiences with ETL workflows and database solutions.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that dream job. Plus, applying directly shows your enthusiasm and commitment to joining the team.
We think you need these skills to ace Quantitative Developer - Enterprise Data
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Quantitative Developer role. Highlight your experience with Python, AWS, and any relevant projects that showcase your skills in building robust systems. We want to see how you can contribute to our tech-driven platform!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background aligns with our mission. Don’t forget to mention your experience with financial reference data and large-scale systems – it’s what we’re all about!
Showcase Your Projects: If you've worked on any projects involving ETL workflows or database solutions, make sure to include them in your application. We love seeing real-world examples of your work, especially if they demonstrate your ability to drive scalability and performance improvements.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Selby Jennings
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, AWS, Kafka, Redis, and GraphQL. Brush up on your coding skills and be ready to discuss how you've used these tools in past projects.
✨Understand the Business Context
Familiarise yourself with the financial industry and the role of reference data systems in trading and risk management. Being able to connect your technical skills to real-world applications will impress your interviewers.
✨Prepare for Problem-Solving Questions
Expect to tackle some technical challenges during the interview. Practice coding problems and system design scenarios that relate to ETL workflows and database solutions. This will showcase your ability to think critically and solve complex issues.
✨Showcase Collaboration Skills
Since collaboration is key in this role, be prepared to discuss your experience working with engineers and quantitative specialists. Share examples of how you’ve successfully worked in teams to deliver impactful solutions.