1 to 25 of 30 Monte Carlo Method Jobs in London

quantitative analytics, or model development within a trading or investment banking environment. Strong understanding of pricing methodologies for derivatives, including stochastic calculus, volatility modeling, and numerical techniques (e.g., Monte Carlo simulation, finite difference methods). Programming proficiency in Python is essential; knowledge of C++, MATLAB, or similar languages is a plus. Familiarity with model governance frameworks More ❯

quantitative analytics, or model development within a trading or investment banking environment. Strong understanding of pricing methodologies for derivatives, including stochastic calculus, volatility modeling, and numerical techniques (e.g., Monte Carlo simulation, finite difference methods). Programming proficiency in Python is essential; knowledge of C++, MATLAB, or similar languages is a plus. Familiarity with model governance frameworks 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 ❯

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 ❯

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 ❯

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 ❯

levels of quality and good commercial outcomes. Oversee the development of complex statistical models and tools using techniques such as regression analysis, time series and survival analyses, and Monte Carlo simulation. Code and review tools in modern computing languages (, R, SAS, or Python). Establish policies and processes for the Quants team to act as an More ❯

levels of quality and good commercial outcomes. Oversee the development of complex statistical models and tools using techniques such as regression analysis, time series and survival analyses, and Monte Carlo simulation. Code and review tools in modern computing languages (e.g., R, SAS, or Python). Establish policies and processes for the Quants team to act as More ❯

levels of quality and good commercial outcomes. Oversee the development of complex statistical models and tools using techniques such as regression analysis, time series and survival analyses, and Monte Carlo simulation. Code and review tools in modern computing languages (, R, SAS, or Python). Establish policies and processes for the Quants team to act as an More ❯

levels of quality and good commercial outcomes. Oversee the development of complex statistical models and tools using techniques such as regression analysis, time series and survival analyses, and Monte Carlo simulation. Code and review tools in modern computing languages (e.g., R, SAS, or Python). Establish policies and processes for the Quants team to act as More ❯

term commercial impact and building long-term foundations. 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 Nice to Have Experience Understanding of various data 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 ❯

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 ❯

in linear algebra and probability/stochastic processes Familiarity with non-linear optimisation frameworks like Ceres, g2o, GTSAM, etc Probabilistic inference and Bayesian likelihood estimation (e.g., Markov Chain Monte Carlo) The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may More ❯

in linear algebra and probability/stochastic processes Familiarity with non-linear optimisation frameworks like Ceres, g2o, GTSAM, etc Probabilistic inference and Bayesian likelihood estimation (e.g., Markov Chain Monte Carlo) The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may More ❯

required: 3+ years' experience within predictive modelling, machine learning, and probability theory. Ideally this would be within sports or gaming/betting industries. Understanding of techniques such as Monte Carlo simulation, Bayesian modelling, GLMs, mixed effects models, time series forecasting etc Strong programming ability, preferably in Python SQL and relational databases The company offer some great More ❯

required: 3+ years' experience within predictive modelling, machine learning, and probability theory. Ideally this would be within sports or gaming/betting industries. Understanding of techniques such as Monte Carlo simulation, Bayesian modelling, GLMs, mixed effects models, time series forecasting etc Strong programming ability, preferably in Python SQL and relational databases The company offer some great More ❯

not only the game's nuances, but also the key players and leagues around the world Familiarity with a broad range of statistical techniques, such as regression modelling, Monte Carlo simulation, GLMs, mixed effects models, gradient boosting, ensemble modelling, and time series forecasting Interest in betting/prediction problems A flair for communicating statistical analyses to More ❯