1 to 25 of 35 Monte Carlo Method Jobs in England

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 physics. This job description provides a high More ❯

a postgraduate degree (PhD/MSc). Solid programming skills in Java. Experience with FX or fixed income products and yield curve construction is highly preferred. Familiarity with Monte Carlo methods, stochastic calculus, or PDEs is a plus. If there is any interest in this opportunity, apply, and a consultant will reach out to you shortly. More ❯

Assessing radiation damage risk to electronics Developing and deploying radiation detection systems Completing the systems engineering design of the secondary shielding system Running and analysing point kernel and monte-carlo calculations Providing technical advice on impact of changes and defects across the whole boat Developing ALARP justifications in support of design decisions Your skills and experiences More ❯

other team members. Technical experience in some of CMake, AAD, Linux, Unix (Sun/IBM), Docker, WSL, Python, or OCaml. Knowledge of financial mathematics such as optimization techniques, monte-carlo, etc. A keen interest in developing skills in these areas. More ❯

other team members. Technical experience in some of CMake, AAD, Linux, Unix (Sun/IBM), Docker, WSL, Python, or OCaml. Knowledge of financial mathematics such as optimization techniques, monte-carlo, etc. A keen interest in developing skills in these areas. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not More ❯

models for a variety of financial products, including derivatives, illiquid cash products, private equity, etc. Exposure to challenging quantitative problems such as modeling risks for derivatives, large scale Monte-Carlo simulations of complete portfolios across the firm, fast and accurate approximate valuation risk measurements. Exposure to machine learning and data science skills, and applications in finance. More ❯

models for a variety of financial products, including derivatives, illiquid cash products, private equity, etc. Exposure to challenging quantitative problems such as modeling risks for derivatives, large scale Monte-Carlo simulations of complete portfolios across the firm, fast and accurate approximate valuation risk measurements. Exposure to machine learning and data science skills, and applications in finance. More ❯

validation processes is a strong plus. Preferred Skills: Preferred Skills: Exposure to commodities markets (including, but not limited to energy, metals, ags, gas, power, index). Familiarity with Monte Carlo methods, PDE solvers, and volatility calibration techniques. More ❯

right solution for the right business problem statement. Our Tech Stack: Cloud Data Warehouse - Snowflake AWS Data Solutions - Kinesis, SNS, SQS, S3, ECS, Lambda Data Governance & Quality - Collate & Monte Carlo Infrastructure as Code - Terraform Data Integration & Transformation - Python, DBT, Fivetran, Airflow CI/CD - Github Actions/Jenkins Business Intelligence - Looker Skills & Attributes We'd Like More ❯

would enable companies in the entertainment industry to significantly increase profit margins. You'll use a raft of different techniques from timeseries analysis to bayesian statistics, reinforcement learning & Monte Carlo Simulations. Your Experience : You'll likely come from a strong quantitative degree background in Science or Maths and have worked 2-4 years as a Data More ❯

Maths, Engineering, Physics, or similar). Experience building and maintaining predictive credit models. Fluency in Python (Pandas, NumPy, SciPy, Matplotlib) and SQL. Experience with advanced modelling techniques (e.g., Monte Carlo, Bayesian modelling) is a plus. Strong communicator. Commercial mindset and strong instincts around risk and return. Experience mentoring or managing analysts. Knowledge of the German lending More ❯

Maths, Engineering, Physics, or similar). Experience building and maintaining predictive credit models. Fluency in Python (Pandas, NumPy, SciPy, Matplotlib) and SQL. Experience with advanced modelling techniques (e.g., Monte Carlo, Bayesian modelling) is a plus. Strong communicator. Commercial mindset and strong instincts around risk and return. Experience mentoring or managing analysts. Knowledge of the German lending More ❯

Maths, Engineering, Physics, or similar). Experience building and maintaining predictive credit models. Fluency in Python (Pandas, NumPy, SciPy, Matplotlib) and SQL. Experience with advanced modelling techniques (e.g., Monte Carlo, Bayesian modelling) is a plus. Strong communicator. Commercial mindset and strong instincts around risk and return. Experience mentoring or managing analysts. Knowledge of the German lending More ❯

from you Experience in a comparable quantitative modelling role in the financial sector. XVA-related experience is especially valuable. Knowledge of financial products and related quantitative methods, especially Monte Carlo simulation. Clear and concise written and verbal communication skills. An MSc or PhD degree in a quantitative subject Skill in programming, preferably in C++. What we More ❯

ability to work cross-functionally in an Agile environment Exposure to data product management principles (SLAs, contracts, ownership models) Familiarity with orchestration tools and observability platforms (Airflow, dbt, Monte Carlo, etc.) Exposure to real-time/streaming pipelines Understanding of information security best practices Familiarity with BI tools (QuickSight, Power BI, Tableau, Looker, etc.) Interest or More ❯

the quantum technology industry. It would be fantastic if you have these skills but not essential: Experience in modern signal processing methods (e.g. Bayesian methods, particle filtering, sequential Monte Carlo methods); Experience in sensor modelling and sensor signal processing, including data fusion;Experience working in an interdisciplinary context with R&D scientists and engineers. Experience in More ❯

Required Qualifications, Capabilities, and Skills Excellence in probability theory, stochastic processes, statistics, and numerical analysis. Strong understanding of option pricing theory and quantitative models for derivatives. Experience with Monte Carlo and numerical methods. Strong analytical and problem-solving abilities. MSc or equivalent in a relevant field. Proficiency in C/C++ programming and Python. Inquisitive nature More ❯

Required qualifications, capabilities, and skills Excellence in probability theory, stochastic processes, statistics, and numerical analysis. Strong understanding of option pricing theory and quantitative models for derivatives. Experience with Monte Carlo and numerical methods. Strong analytical and problem-solving abilities. MSc or equivalent in a relevant field. Proficiency in C/C++ programming and Python. Inquisitive nature More ❯

outcomes. Completion of associated documentation to a high standard is expected. Developing complex statistical models and tools; techniques including (inter alia) regression analysis, time series and survival analyses, Monte Carlo simulation. Coding and review of tools in modern computing languages (e.g. R, SAS or Python). Acting as an auditor's expert which may involve the More ❯

the quantum technology industry. It would be fantastic if you have these skills but not essential: Experience in modern signal processing methods (e.g. Bayesian methods, particle filtering, sequential Monte Carlo methods). Experience in sensor modelling and sensor signal processing, including data fusion. Familiarity with the Python programming language for scientific computing. Familiarity with quantum and More ❯

computing. Experience with version control systems like Git (BitBucket, GitHub). Experience with code refactoring, qualification, and established software development practices. Knowledge of kinetic plasma models (Boltzmann solver, Monte Carlo, PIC). In-depth knowledge of rarefied gas flows or reacting flows. Experience with plasma chemistry design. Familiarity with commercial or open-source CFD packages (e.g. More ❯

computing. Experience with version control systems like Git (BitBucket, GitHub). Experience with code refactoring, qualification, and established software development practices. Knowledge of kinetic plasma models (Boltzmann solver, Monte Carlo, PIC). In-depth knowledge of rarefied gas flows or reacting flows. Experience with plasma chemistry design. Familiarity with commercial or open-source CFD packages (e.g. More ❯

models. Strong programming skills and experience in Python, C++ and/or Java Not required but highly desirable: exposure to structured finance and credit models, as well as Monte Carlo simulation Not required but highly desirable real market experience. Demonstrated ability to carry out independent research projects as well as to make contributions in a team More ❯

you have these skills but not essential: Familiarity with the Python programming language for scientific computing. Experience in modern signal processing methods (e.g. Bayesian methods, particle filtering, sequential Monte Carlo methods); Experience in sensor modelling and sensor signal processing, including data fusion;Experience modelling optically-pumped magnetometry in warm atomic vapour cells; Experience modelling real experiments More ❯

ortools, SciPy.optimize) or similar programming tool. Experience implementing optimisation methodologies including, Linear & Integer Programming (LP, ILP, MILP), Graph Theory and Network Optimisation, Scheduling & Search Algorithms and Simulation Approaches (Monte Carlo, Markov-Chain, Discrete Event Simulation, etc). Excellent team management skills to lead, motivate and grow a team who are geographically dispersed. Comfortable using a multi More ❯