12 of 12 Numerical Analysis Jobs in the UK

optimize performance and consolidate the workflow across asset classes. Extending existing test suites, including unit, regression, and integration tests. Performance and memory profiling. Assisting in the execution of impact analysis testing runs. Identifying and developing calculation optimization improvements Working on documentation. Working with Front Office teams to integrate quant library/technology enhancements into the codebase. Utilizing in-depth … Rates, Credit, Equities, Commodities, FX derivatives. Experience working on Regulatory based projects such as Model Risk, Basel, Stress Testing, FRTB, CCAR is an advantage. Solid mathematical finance and statistical analysis skills. Familiarity with Numerical analysis/Monte-Carlo methods. Knowledge of probability and stochastic calculus. Education: Master's degree or equivalent in computer science, mathematics, engineering or More ❯

approaches to create BI products updated Has reliable and accurate Business Intelligence applications deployed as required by the business Oversee the investigation/development of new methods for data analysis such as AI Essential criteria: Power BI, Azure, Redshift, Databases, Power Platform, Dev Ops, SQL Design and development of Power BI artefacts and environments Numerical analysis methods More ❯

HJM framework . Strong programming skills in C++ (Visual Studio) , including modern C++ (C+ or later). Solid understanding of stochastic calculus , partial differential equations , no-arbitrage valuation , and numerical analysis . Knowledge of Rates Products and Models . Familiarity with instruments used in FICC (Fixed Income, Currencies, and Commodities) businesses. Experience with commodities is preferred. Technical Skills More ❯

working in a Data Science related role Proven depth in probability & inference (e.g., Bayesian updating, time-series/state-space models, extreme-value theory). Hands-on Python for numerical analysis (numpy, pandas, xarray, SciPy/PyMC/PyTorch, or similar). Experience validating models with historical data and communicating results to non-specialists. Exposure to real-time More ❯

working in a Data Science related role Proven depth in probability & inference (e.g., Bayesian updating, time-series/state-space models, extreme-value theory). Hands-on Python for numerical analysis (numpy, pandas, xarray, SciPy/PyMC/PyTorch, or similar). Experience validating models with historical data and communicating results to non-specialists. Exposure to real-time More ❯

set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Managing Consultant, Advisors - Strategy & Transformation Mastercard Services provides cutting-edge data analysis and services to Fortune 500s, governments, and nonprofits to make multimillion-dollar business decisions and grow their organizations. Our Advisors Client Services team combines traditional management consulting with Mastercard … Knowledge of business KPIs, financials, and organizational leadership • Ability to identify new business development opportunities, and experience drafting proposals and scoping new opportunities • Logical, structured thinking, and affinity for numerical analysis • Advanced Word, Excel, and PowerPoint skills • Ability to manage multiple tasks and clients in a fast-paced, deadline-driven environment • Ability to communicate effectively in English and More ❯

Scientists/Engineers will have a Masters degree in Physics, Maths or Physical Sciences. You will have experience of data science techniques, data modelling, data analysis, Python, or C/C++ or Matlab Mathematical Modelling, techniques and solving engineering using your maths skills Scientists/Engineers will have an interest in Data Science, Mathematical Modelling, Software Development; Python, C … C++; Numerical analysis and solving real world engineering problems using Maths. More ❯

What We’re Looking For Strong front office quant background, with deep expertise in interest rates, yield curve calibration, and classical quantitative finance (stochastic calculus, PDEs, no-arbitrage valuation, numerical analysis) Proven experience implementing models in a front office C++ library (C++11+), not just using implementations from other teams Familiarity with Python, Excel, and version control systems (e.g. More ❯

What We’re Looking For Strong front office quant background, with deep expertise in interest rates, yield curve calibration, and classical quantitative finance (stochastic calculus, PDEs, no-arbitrage valuation, numerical analysis) Proven experience implementing models in a front office C++ library (C++11+), not just using implementations from other teams Familiarity with Python, Excel, and version control systems (e.g. More ❯

individual who is filled with motivation and high energy that will light up the team pushing us to our goals. This role combines elements of commercial thinking, excellent communication, numerical analysis and multi-tasking. You will have experience in the media sector. KEY RESPONSIBILITIES What you'll be doing: Proactively identify market trends by researching current press and More ❯

is a hands-on, applied role where you will bridge data science, AI, and robotics—taking ideas from prototype to field-tested implementation. Key Responsibilities Develop image-processing & image analysis pipelines: registration, segmentation, classification, object tracking Build, train, and evaluate deep learning models (e.g. CNNs, YOLO) Design data-driven solutions to robotic vision and inspection problems Prototype solutions in … Python and/or MATLAB , moving quickly from idea to evaluation Collaborate closely with hardware, software, and deployment teams to ensure field viability Perform statistical and numerical analysis to evaluate system performance and sensor data Required Skills & Experience Proficiency in Python and/or MATLAB Minimum of 3 years hands-on experience in developing image processing algorithms: segmentation … classification, object detection and other image analysis applications Familiarity with machine learning and neural networks (YOLO, CNNs, etc.) Experience using TensorFlow, PyTorch , or similar frameworks Understanding of image-processing pipeline design , numerical methods , and statistics Strong problem-solving ability, able to move from analysis to prototype quickly Desirable Experience Experience with TensorRT , Nvidia Deepstream , or other deployment More ❯

and the modelling of time-series demand/distributed generation patterns. • Experience of performing steady-state and/or transient power systems studies, e.g. load flow, short-circuit fault analysis and/or switching studies. • Strong and proven numerical analysis skills, engineering mathematics and statistics. • Proven ability to solve complex problems using creative solutions. Desired Criteria: • Masters … Systems/Electrical/Electronic Engineering. • At least 2 years' industry experience. • Solid knowledge of the UK distribution sector, including EHV, HV and LV levels. • Experience of power systems analysis, including working knowledge of one or more power systems network modelling and simulation packages, e.g. PandaPower, NEPLAN, WinDebut, IPSA, PSCAD, etc. • Familiarity with the contemporary challenges that face prospective More ❯