1 to 25 of 74 Monte Carlo Method Jobs in the UK

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 ❯

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 ❯

Finance, Maths, Physics, Computer Science Excellent communication skills, both written and verbal with attention to detail Strong Maths skills in probability, stochastic calculus and numerical methods (finite differences, Monte Carlo) Good computing and programming skills, including C++ experience Highly motivated, with a keen enthusiasm to learn and take on new challenges How We’ll Support You 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 ❯

interview process. Required Skills and Experience Previous work experience working as a quant in an energy commodity trading organisation Experience in modelling spot/forward price processes, building Monte Carlo simulation tools, multifactor models, gas storage models, and commodity option pricing (spread and exotic), modelling stochastic volatility and correlation in commodity prices. Expert-level coding skills More ❯

Physics or Statistics, is beneficial Extensive experience in a Model Validation or Front Office Quant role Excellent mathematical ability with an understanding of Stochastic Calculus, Partial Differential Equations, Monte-Carlo Methods, Finite Difference Methods, and Numerical Algorithms Deep understanding of interest Rates and FX derivative models Strong interest in financial markets (especially derivative pricing) demonstrated by 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 ❯

Maths, Physics, Computer Science). Excellent communication skills, both written and verbal with attention to detail. Strong Maths skills in probability, stochastic calculus and numerical methods (finite differences, Monte Carlo). Good computing and programming skills, including experience of C++. Highly motivated, enthusiastic with a keen willingness to learn and take on new challenges. How we 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 ❯

energy commodities trading, with a strong focus on quantitative analysis and modelling. Deep understanding and hands-on experience in pricing complex option structures and building financial models (e.g., Monte Carlo simulations, multifactor models, stochastic volatility models). Exceptional analytical and problem-solving skills, coupled with a strong grasp of programming and numerical techniques. Ability to work … collaboration skills. Desired Skills and Experience: Passion for energy markets and quantitative analysis. A proactive approach to problem-solving and innovation. Role Responsibilities:  Develop and implement models for Monte Carlo simulation, price path simulation, multifactor models, and other advanced quantitative methods.  Price complex option structures and provide expertise in gas storage valuation, stochastic volatility models, and 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 ❯

SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian modelling is a plus. Familiarity with statistical confidence testing. Understanding and expertise in statistical modelling techniques is More ❯

SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian modelling is a plus. Familiarity with statistical confidence testing. Understanding and expertise in statistical modelling techniques is More ❯

SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian modelling is a plus. Familiarity with statistical confidence testing. Understanding and expertise in statistical modelling techniques is 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 ❯

SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian modelling is a plus. Familiarity with statistical confidence testing. Understanding and expertise in statistical modelling techniques is More ❯

SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian modelling is a plus. Familiarity with statistical confidence testing. Understanding and expertise in statistical modelling techniques is More ❯

including libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn. Skilled in developing and deploying credit risk models, including scorecard thresholds, limit optimisation, and loss reduction. Experience with Monte Carlo simulations or Bayesian modelling (e.g., PyMC3) is a plus. Strong communication skills, with the ability to convey complex analysis to both technical and non-technical stakeholders. More ❯