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- Tasks: Implement and maintain systematic trading strategies in a dynamic trading environment.
- Company: Finalto, a global leader in trading technology solutions with a fintech culture.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a real impact on trading strategies and work with cutting-edge technology.
- Qualifications: Strong programming skills in Java and Python, with experience in trading systems.
- Other info: Collaborative team environment with excellent career advancement opportunities.
The predicted salary is between 60000 - 80000 £ per year.
Finalto is a global leader in liquidity provision and trading technology solutions, serving institutional and B2B clients across financial markets worldwide. With regulated entities in the UK, Singapore, Cyprus, Australia, and the UAE, and operational teams across Europe and Asia, Finalto combines global reach with deep expertise in trading infrastructure and market connectivity. Our technology supports multi-asset liquidity distribution, advanced trading platforms, and systematic trading systems used by financial institutions and professional trading firms around the world. At Finalto, we combine the scale and stability of a global financial services organisation with the engineering culture and innovation of a fintech company. Our trading and technology teams collaborate closely to build reliable, high-performance systems that support real-time trading and execution.
We are currently expanding our London team and are looking for a Quantitative Developer to implement and maintain systematic trading strategies within our in-house strategy framework.
Role overviewThis role focuses on implementing and maintaining systematic trading strategies in production using our internal trading framework. You will work close to live trading systems, interacting with market data streams, internal APIs, and trading gateways to ensure strategies behave reliably and efficiently in real market conditions. The position sits at the intersection of quantitative trading and systems engineering. The focus is not pure research, but rather building robust, performant strategy implementations that translate trading logic into reliable production systems. Please note: this is not a generic backend engineering role – the focus is on implementing trading strategies where small engineering decisions can have real PnL impact.
Responsibilities- Implement and maintain systematic trading strategies using internal APIs, data streams, and gateway interfaces.
- Translate trading logic into robust production implementations including state management, risk controls, and order lifecycle handling.
- Take ownership of specific strategies and ensure their stability, performance, and reliability in production.
- Improve strategy performance through execution behavior, parameter configuration, monitoring, and system robustness.
- Identify and reduce latency and performance bottlenecks where appropriate.
- Improve efficiency in the data → decision → order execution pipeline.
- Work closely with trading system and infrastructure teams to ensure stable connectivity and data quality.
- Diagnose production issues including data inconsistencies, gateway behavior, or integration problems.
- Contribute to strategy refinement and testing when needed through analysis and implementation-driven experimentation.
- Strong programming skills in Java and Python (comfortable working with both).
- Experience with object-oriented design and large codebases.
- Professional experience with Git-based development workflows.
- Solid understanding of concurrency, messaging patterns, and system design.
- Familiarity with networking concepts and system integrations.
- Experience working with databases and data access patterns.
- Strong debugging and problem-solving skills in production environments.
- Ability to collaborate effectively with both traders and engineering teams.
- Experience with low-latency systems or trading infrastructure.
- Familiarity with event-driven architectures, pub/sub, or streaming systems.
- Understanding of market microstructure and electronic execution.
- Experience building monitoring tools or improving system observability.
If you enjoy combining strong engineering with trading systems and real-world execution challenges, we would be glad to hear from you.
Quantitative Developer employer: Finalto
Contact Detail:
Finalto Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or contributions to open-source, make sure to highlight them. It’s a great way to demonstrate your coding chops beyond the usual application.
✨Tip Number 3
Prepare for those interviews! Brush up on your Java and Python skills, and be ready to discuss your experience with trading systems. We love seeing candidates who can talk about their problem-solving process.
✨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, we’re always on the lookout for passionate candidates like you!
We think you need these skills to ace Quantitative Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Quantitative Developer role. Highlight your programming skills in Java and Python, and any experience you have with trading systems or low-latency environments. We want to see how your background aligns with our needs!
Showcase Your Projects: Include any relevant projects or experiences that demonstrate your ability to implement systematic trading strategies. If you've worked on similar systems before, let us know! This helps us understand your hands-on experience.
Be Clear and Concise: When writing your application, keep it clear and concise. Use bullet points where possible to make it easy for us to read through your qualifications and experiences. We appreciate straightforward communication!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Finalto!
How to prepare for a job interview at Finalto
✨Know Your Tech Inside Out
Make sure you’re well-versed in Java and Python, as these are crucial for the role. Brush up on your object-oriented design principles and be ready to discuss how you've tackled large codebases in the past.
✨Understand Trading Logic
Familiarise yourself with systematic trading strategies and how they translate into production systems. Be prepared to explain how you would implement risk controls and manage order lifecycles effectively.
✨Showcase Problem-Solving Skills
Be ready to share examples of how you've diagnosed and resolved production issues. Highlight your debugging skills and any experience you have with low-latency systems or trading infrastructure.
✨Collaborate Like a Pro
Since this role involves working closely with traders and engineering teams, demonstrate your ability to collaborate effectively. Share experiences where teamwork led to successful project outcomes, especially in high-pressure environments.