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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # quantitative developer - **Company:** Wise - **Location:** UK - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Algorithmic Trading, Databases, Software Debugging, Python (Programming Language), Monte Carlo Methods, Redis, Backtesting, Snowflake, Apache Spark, Model Validation, Event Driven Architecture, Data Lakes, Apache Flink, Apache Kafka, Stream Processing, Data Pipelines, Microservices - **Published:** September 5, 2026 - **Apply:** https://startup.jobs/lead-data-scientist-treasury-markets-quant-wise-9488887 ## About the Role * 4+ years building and maintaining production Python systems * Strong experience with microservices, databases, and production infrastructure * Experience with streaming systems, real-time data pipelines, or event-driven architectures (Kafka, Flink, Redis etc.) * Quantitative background - maths, physics, engineering or finance - you can read a model and reason about correctness * Experience with testing, monitoring, and debugging complex systems under load * A product mindset - you think about who uses your systems and why * Clear communicator who can work cross-functionally with other quants, analysts, traders, product managers and engineers It's a bonus if you are familiar with * FX or financial markets experience * Term structure modelling, stochastic calculus or Monte Carlo methods * Interest rate curve bootstrapping * Algorithmic execution experience * Data lake or warehouse experience (Snowflake, Iceberg, Spark etc.) We're people without borders - without judgement or prejudice, too. We want to work with the best people, no matter their background. So if you're passionate about learning new things and keen to join our mission, you'll fit right in. Also, qualifications aren't that important to us. If you've got great experience, and you're great at articulating your thinking, we'd like to hear from you. ## Description You'll join the Treasury Markets Data Science team, owning the quantitative infrastructure that powers how Wise manages FX risk across a USD 250bn+ in annual FX volume- serving everyone from retail customers sending money abroad to tier-1 banks via Wise Platform. The wider Treasury FX team includes quants, traders, analysts, product managers and engineers working together to price, hedge, manage and scale FX operations within Wise in real time. Within that, the Data Science team owns the quantitative platform: We run a Python-first, production-grade quant platform: real-time curve construction, multi-instrument pricing, risk analytics, and trading strategy - all built and operated by the same team. Your primary focus is keeping these systems reliable, performant and well-engineered - while thinking deeply about how they serve customers and products. You'll also contribute to the quantitative models themselves as you grow into the domain. What you'll own * Python microservices that run quantitative models in production * Monitoring, alerting, and reliability for real-time pricing and risk systems * Shared quant libraries used across multiple services * CI/CD pipelines, deployment and operational excellence * Incident response and root cause analysis for production issues Where you'll grow * Real-time curve construction (yield curves, FX forwards, vol surfaces) * Pricing models for new instruments and products * Trading strategy development and optimisation * Risk modelling alongside the Risk team (VaR, stress testing, scenario analysis) * Backtesting frameworks and model validation * Customer behaviour modelling, pricing strategy and product launch support * Collaborating with product teams to translate quantitative insights into customer-facing decisions ## Related Videos - [Inside Bitpanda's Tech Stack: Scaling a European Fintech Leader - Markus Dorner](https://www.wearedevelopers.com/videos/1979-inside-bitpanda-s-tech-stack-scaling-a-european-fintech-leader-markus-dorner) - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Quantum DevOps - Quantum Application Development](https://www.wearedevelopers.com/videos/1441-quantum-devops-quantum-application-development) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) ## Related Articles - [The Fastest-Growing Tech Sectors to Look Out for in 2025](https://www.wearedevelopers.com/magazine/373-the-fastest-growing-tech-sectors-to-look-out-for-in-2025) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [7 Most Popular Web Developer Jobs in Europe](https://www.wearedevelopers.com/magazine/163-7-most-popular-web-developer-jobs-in-europe) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers)