24 of 24 Permanent Monte Carlo Method Jobs in London

About Monte Carlo As businesses increasingly rely on data to power digital products and drive better decision-making, it's mission-critical that this data is accurate and reliable. Monte Carlo, the data reliability company, is the creator of the industry's … the "New Relic for data" by Forbes, we've raised $236M from Accel, ICONIQ Growth, GGV Capital, Redpoint Ventures, IVP, and Salesforce Ventures. Monte Carlo works with data-driven companies like Fox, Pepsico, Amazon, American Airlines, and other leading enterprises to help them achieve trust in … data. About the role: Monte Carlo is growing its Sales Engineering team to accelerate our rapid growth. As a Senior Strategic Sales Engineer, you will be a key member of the Monte Carlo sales engine and will be responsible for providing excellent More ❯

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 … 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 More ❯

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 … 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 More ❯

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 … 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 More ❯

and risk management of complex non-linear derivatives (e.g., options, volatility products, and exotics). Develop high-performance numerical methods for model calibration, Monte Carlo simulations, and pricing. Build and maintain real-time trading systems that interface with market data feeds and execution venues. Create data More ❯

structures (yield curves, volatility surfaces, etc.) is highly desirable. Finance Knowledge : Solid understanding of derivatives, market conventions, and risk management tools like VaR, Monte Carlo, and scenario analysis. Mindset : You’re a problem solver, a team player, and a lifelong learner ready to tackle some of More ❯

structures (yield curves, volatility surfaces, etc.) is highly desirable. Finance Knowledge : Solid understanding of derivatives, market conventions, and risk management tools like VaR, Monte Carlo, and scenario analysis. Mindset : You’re a problem solver, a team player, and a lifelong learner ready to tackle some of More ❯

structures (yield curves, volatility surfaces, etc.) is highly desirable. Finance Knowledge : Solid understanding of derivatives, market conventions, and risk management tools like VaR, Monte Carlo, and scenario analysis. Mindset : You’re a problem solver, a team player, and a lifelong learner ready to tackle some of More ❯

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 ❯

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 More ❯

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 More ❯

markets division's drive to expand exotic interest rate derivatives revenue. ? Implement local volatility multi-factors short rate model (qGM) that used parallel Monte Carlo simulation, pathwise differentiation (AAD) for fast Greeks calculation. ? Deploy GM pricing tools in web-based application, excel and Murex. Promoted the More ❯

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 More ❯

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 More ❯

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 More ❯

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 More ❯

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 More ❯

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 More ❯

variety of mathematical and computer science methods and tools. Develop pricing models using advanced financial mathematics, statistics and probability, numerical techniques such as Monte Carlo Methods and partial differential equation solvers. The implementation uses primarily Python and C++ programming languages. Support and collaborate closely with trading More ❯

of experience applying predictive modelling, machine learning, and probability theory, preferably in sports or gaming/betting industries Familiarity with techniques such as Monte Carlo simulation, Bayesian modelling, mixed effects models, Kalman filters, GLMs, and time series forecasting. While expertise in every area isn’t expected More ❯

of a new exotic rates pricing library, including project planning and stakeholder engagement. Implement local volatility multi-factors short rate models using parallel Monte Carlo simulation and pathwise differentiation (AAD). Deploy GM pricing tools across web applications, Excel, and Murex, promoting Python for prototyping. Participate More ❯

experience in predictive modelling, machine learning, and probability theory, preferably in the sports or gaming/betting industries. Familiarity with techniques such as Monte Carlo simulation, Bayesian modelling, mixed effects models, Kalman filters, GLMs, and time series forecasting. Strong programming skills, particularly in Python. Experience in More ❯

experience in predictive modelling, machine learning, and probability theory, preferably in the sports or gaming/betting industries. Familiarity with techniques such as Monte Carlo simulation, Bayesian modelling, mixed effects models, Kalman filters, GLMs, and time series forecasting. Strong programming skills, particularly in Python. Experience in More ❯

our salesforce hit quota and 40-50% secure maximum accelerators every year Annual top achievers club in locations such as Miami, Sydney and Monte Carlo Unbeatable training and growth opportunities, including an intensive 3-week sales academy for new hires Excellent corporate benefits The opportunity to More ❯