At a Glance
- Tasks: Develop and optimise FX trading strategies in a hands-on role.
- Company: Wagglyn, a bespoke FX consultancy with a focus on innovation.
- Benefits: Competitive compensation, remote work, and the chance to work with cutting-edge technology.
- Other info: Immediate start preferred; dynamic environment with opportunities for growth.
- Why this job: Join a high-performance team and make a real impact in the FX trading world.
- Qualifications: Experience in quantitative development and strong programming skills in Rust or C++.
The predicted salary is between 60000 - 80000 £ per year.
Wagglyn is seeking a Quantitative Developer (Contract) to work directly with our quantitative research and engineering teams on the development and deployment of systematic FX trading strategies. This is a hands-on role focused on owning and improving a production-grade trading stack and bridging it through to live trading. You will work across execution systems, market data infrastructure, and research workflows to ensure the platform is robust, performant, and ready for real-world conditions.
We have production infrastructure in place and are focused on bridging to live trading. The immediate priority is ensuring system reliability, validating the order path, and supporting the transition into a live trading environment.
Responsibilities
- Take ownership of key components of the existing Rust-based trading stack, including:
- Stabilising and improving system reliability
- Identifying and resolving performance bottlenecks
- Validate and refine the end-to-end order lifecycle:
- Ensure correctness of order handling, execution flow, and venue interaction
- Work closely with quants and engineers to align behaviour with strategy requirements
- Improve and maintain market data and storage systems:
- Ensure robustness and performance of time-series data infrastructure (e.g. QuestDB)
- Validate data integrity, sequencing, and consistency across feeds
- Optimise high-frequency data pipelines:
- Correct timestamping and event ordering
- Cross-venue alignment and determinism
- Collaborate with quantitative researchers to:
- Integrate and refine strategy logic within production constraints
- Improve research-to-production workflows and tooling
- Contribute to performance optimisation across:
- Latency, throughput, and system determinism
- Linux systems, networking, and low-level performance tuning
Required Experience
- Experience as a Quantitative Developer / Quant Engineer / Low Latency Engineer in a systematic trading environment
- Direct experience in electronic FX markets is required, including:
- FX market microstructure (last look, liquidity provider behaviour, venue dynamics)
- ECNs and liquidity venues (e.g. EBS, LMAX, Cboe FX, Currenex, etc.)
- Understanding of FX-specific execution characteristics (disclosed vs anonymous liquidity, LP pools, prime brokerage)
- Strong programming skills in:
- Python (research and tooling)
- Rust and/or C++ (performance-critical systems)
- Experience working with:
- High-frequency financial data (tick / order book level)
- Real-time data pipelines and execution systems
- Backtesting and/or simulation environments
- Strong understanding of:
- Data integrity challenges (timestamping, sequencing, feed inconsistencies)
- End-to-end trading system behaviour under real market conditions
Important – Technical Requirement
- This role operates within a Rust-based trading stack.
- Candidates should be:
- Proficient in Rust, or
- Highly experienced in C++ and able to transition effectively into Rust
- Strong C++ engineers with experience in low-latency trading systems are encouraged to apply, even if Rust experience is more limited.
- If you do not have experience in performance-critical systems programming, this role is unlikely to be a fit.
Preferred Experience
- Experience working on systems approaching or entering live trading
- Familiarity with:
- Low latency optimisation techniques (kernel bypass, networking, etc.)
- Cross-venue market data aggregation
- General familiarity with AWS environments (e.g. S3, UAT setups)
Profile
- Comfortable operating in a small, high-performance team with high ownership
- Pragmatic and delivery-focused:
- Focused on getting systems stable and live
- Able to prioritise effectively under time pressure
- Strong communicator, able to work across:
- Quantitative research
- Low latency engineering
Contract Structure
- Full-time contractor
- Rolling fixed-term arrangement
- Immediate start preferred
Location
- Remote (preference for UK based candidates).
Compensation
- Compensation is competitive and aligned with quant dev roles in eFX trading.
About Wagglyn
Wagglyn is a bespoke FX consultancy mandated by a single family office to develop and implement a systematic total return strategy in foreign exchange markets. We are building an institutional-grade algorithmic FX trading capability, combining quantitative research, high-performance engineering, and robust execution infrastructure.
Locations
Quantitative Developer (HFT FX) – Contract in Cheshire, Warrington employer: Wagglyn
Wagglyn is an exceptional employer for Quantitative Developers, offering a dynamic remote work environment that fosters innovation and collaboration. With a strong focus on employee growth, you will have the opportunity to take ownership of critical components in a high-performance trading stack while working alongside talented quants and engineers. Our culture prioritises stability and performance, ensuring that you are part of a team dedicated to pushing the boundaries of systematic FX trading.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Developer (HFT FX) – Contract in Cheshire, Warrington
✨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 put in a good word for you.
✨Tip Number 2
Show off your skills! If you've got a GitHub or portfolio showcasing your projects, make sure to share it during interviews. It’s a great way to demonstrate your expertise in Rust, Python, or any other relevant tech.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of FX markets. Practice common algorithms and data structures, and be ready to discuss your past experiences in low-latency environments.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it shows you’re genuinely interested in joining our team at Wagglyn.
We think you need these skills to ace Quantitative Developer (HFT FX) – Contract in Cheshire, Warrington
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your experience in quantitative development and low-latency systems. We want to see how your skills align with the specific requirements of the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about FX trading and how your background makes you a perfect fit for our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Technical Skills:Since this role is all about Rust and performance-critical systems, make sure to highlight your programming skills prominently. If you’ve worked on similar projects or have experience with high-frequency data, let us know!
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 shows you’re keen on joining our team at Wagglyn!
How to prepare for a job interview at Wagglyn
✨Know Your Tech Stack
Make sure you’re well-versed in Rust and C++. Brush up on your understanding of performance-critical systems, as this role heavily relies on them. Be ready to discuss specific projects where you've optimised code or improved system reliability.
✨Understand FX Market Dynamics
Familiarise yourself with FX market microstructure and execution characteristics. Be prepared to talk about your experience with ECNs and liquidity venues. Showing that you understand the nuances of FX trading will set you apart from other candidates.
✨Demonstrate Problem-Solving Skills
Think of examples where you've identified and resolved performance bottlenecks in a trading environment. Discuss how you validated order lifecycles and ensured data integrity. This will showcase your hands-on experience and ability to tackle real-world challenges.
✨Communicate Effectively
Since collaboration is key in this role, practice articulating your thoughts clearly. Be ready to explain complex technical concepts in simple terms, especially when discussing your work with quants and engineers. Strong communication can make a big difference in a high-performance team.
