12 of 12 Permanent Monte Carlo Method Jobs in the UK

intersection of financial modelling and modern engineering, supporting the development of platforms used for forward-looking financial analysis, including discounted cashflow projections and Monte Carlo simulations. This is a hands-on leadership role, splitting your time between full-stack engineering and leading a team of senior … full-stack development, alongside TypeScript, React and Azure• Contributing to platforms supporting financial modelling and forward-looking analytics including discounted cashflow projections and Monte Carlo simulations• Championing AI-assisted and agentic engineering workflows, embedding these into development practices• Running Agile ceremonies including stand-ups, sprint planning ...

Trading Systems Architecture Architect end-to-end front-to-back trading workflows, from deal capture and position management through risk analytics (VaR, Greeks, Monte Carlo, stress testing), P&L attribution, settlement, invoicing, confirmations and regulatory reporting (REMIT, EMIR, MiFID II, ACER). Design and govern … Proven track record of defining and delivering enterprise-level architecture for front-to-back trading platforms, including trade capture, risk management (VaR, Greeks, Monte Carlo, stress testing), P&L attribution, settlement, confirmations and regulatory reporting. Expert understanding of integration architecture in high-performance trading environments including ...

Python skills and experience working in modern cloud-based data environments. Hands‐on experience with data observability tools such as Grafana, Monte Carlo, or Acceldata, and data governance/quality platforms like Informatica, Collibra or Microsoft Purview is highly desirable. Experience within the Azure ecosystem (data ...

clear SLOs/SLA, observability, reliability engineering practices, and tight integration into trading/risk platforms. Provide technical leadership and mentorship; conduct code/method reviews, establish research engineering best practices (testing, CI/CD, reproducibility), and develop team capability. Communicate complex quantitative concepts to non‐technical audiences; influence … curve building (multi‐curve frameworks), volatility surface modelling/calibration (e.g., SABR, Heston, local/stochastic volatility), and numerical methods (PDE/FDM, Monte Carlo, adjoint/automatic differentiation). Experience with market risk, time‐series/stress analytics, model risk governance, and regulatory expectations ...

clear SLOs/SLA, observability, reliability engineering practices, and tight integration into trading/risk platforms. Provide technical leadership and mentorship; conduct code/method reviews, establish research engineering best practices (testing, CI/CD, reproducibility), and develop team capability. Communicate complex quantitative concepts to non-technical audiences; influence … curve building (multi-curve frameworks), volatility surface modeling/calibration (e.g., SABR, Heston, local/stochastic volatility), and numerical methods (PDE/FDM, Monte Carlo, adjoint/automatic differentiation). Experience with market risk, time-series/stress analytics, model risk governance, and regulatory expectations ...

exploratory capacity A software engineering background alongside strong data skills Experience with modern data observability and governance tooling such as Atlan or Monte Carlo IaC experience with Terraform or CloudFormation The role: Individual contributor reporting into the Head of Data. Hybrid working with three days ...

varying formats and resolutions. Model Serving and Deployment Build serving infrastructure for pre-trained LPMs, supporting both zero‐shot inference and uncertainty quantification (Monte Carlo Dropout). Design and implement model packaging pipelines for customer deployment. Models must run reliably in customer environments with fine‐tuning ...

research organisation Nice to Have Knowledge of NMR spectroscopy and associated data processing pipelines Familiarity with simulation techniques such as molecular dynamics or Monte Carlo approaches, as well as an understanding of statistical mechanics and complex systems Ability to use HPC and/or cloud computing ...

computational techniques Apply high‐performance computing methods, including hardware acceleration and low‐level optimisation Develop pricing models using numerical techniques such as Monte Carlo methods and partial differential equation (PDE) solvers Work with technologies including C++, CUDA, Python, and adjoint algorithmic differentiation (AAD) Contribute ...

computational techniques Apply high‐performance computing methods, including hardware acceleration and low‐level optimisation Develop pricing models using numerical techniques such as Monte Carlo methods and partial differential equation (PDE) solvers Work with technologies including C++, CUDA, Python, and adjoint algorithmic differentiation (AAD) Contribute ...

computational techniques* Apply high‐performance computing methods, including hardware acceleration and low‐level optimisation* Develop pricing models using numerical techniques such as Monte Carlo methods and partial differential equation (PDE) solvers* Work with technologies including C++, CUDA, Python, and adjoint algorithmic differentiation (AAD)* Contribute ...

About the Role As a Senior Software Engineer (Data), you’ll help shape and scale our data infrastructure, making analytics faster, more reliable, and cost‐efficient. You’ll work with AWS, Snowflake, Python, and Terraform ...