76 to 100 of 112 Monte Carlo Method Jobs

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 More ❯

the accuracy and effectiveness of the ALM platform, including data integrity and contingency planning. Develop advanced risk analytics (e.g., Gap Analysis, Earnings at Risk, Economic Value of Equity, Monte Carlo simulations) for reporting across finance entities. Build and maintain models and methodologies for funding strategy formulation and liquidity risk analysis. Utilize database and analytics tools for More ❯

hybrid in UK, Spain or Poland. Responsibilities: Work with existing and new game mechanics and figure out how to balance them appropriately. Construct games in code and run Monte Carlo Simulations to gather information used for balancing decisions and for documentation. Perform calculations in Excel to get exact values for key values. Analyse and review games More ❯

model validation Confident working across teams and taking ownership of delivery Strong communication and problem-solving skills Experience in demand forecasting or operations research Familiarity with Bayesian methods, Monte Carlo simulations, or reinforcement learning Exposure to high-scale SaaS or B2C products Why Apply? Build forecasting systems powering global commercial strategies Collaborate with a world-class More ❯

in both Python and SQL for data querying, aggregation, and analysis. Experienced in modeling and analyzing situations that involve multiple variables and possible outcomes, including the use of Monte Carlo Simulations. Experienced in working with real-world data modalities such as Medical Claims, Electronic Health Record data. Experience with clinical trial databases (e.g., Citeline) is an More ❯

Joint Warfare Analysis Center and other Department of Defense and Intelligence Community stakeholders. Details Designing and executing simulation experiments that minimize compute time and maximize actionable insights Applying Monte Carlo methods, statistical techniques, and operational research tools to real-world scenarios Modeling systems and operations using Python, R, VBA, or MATLAB (preferred) Defining data requirements, analyzing More ❯

such as clustering, classification, and regression Previous experience presenting information to key stakeholders Nice to haves...... Previous experience using Generalised Linear Regression Modelling Knowledge of Bayesian Statistics and Monte Carlo Simulation Experience with Azure: Azure Databases, Azure Databricks Proficient use of VBA's Apply for this job #J-18808-Ljbffr More ❯

such as clustering, classification, and regression Previous experience presenting information to key stakeholders Nice to haves...... Previous experience using Generalised Linear Regression Modelling Knowledge of Bayesian Statistics and Monte Carlo Simulation Experience with Azure: Azure Databases, Azure Databricks Proficient use of VBA's Please note due to the large volume of applications we receive for these 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 ❯

This is a hands-on leadership role that balances deep technical work with people and project management. You’ll work with tools like Snowflake, dbt, Looker, Fivetran, and Monte Carlo, collaborating with teams across the business, from Finance and Credit to Engineering and the Executive team. You’ll also take full ownership of the team’s … as the team’s main point of contact, clearly communicating plans, progress, challenges, and timelines. Manage and evolve the modern data stack, including Fivetran, Snowflake, dbt, Looker, and Monte Carlo (for data observability). Design and maintain scalable dbt models and self-serve data tools (such as Looker) that empower analysts, data scientists, and non-technical … dbt, including working on large or complex dbt projects. Experience with cloud data warehouses (e.g., Snowflake) and ELT tools (e.g., Fivetran). Experience with data observability tools (e.g., Monte Carlo). Experience with BI tools (e.g., Looker, Mode, Tableau), including enabling self-serve access for non-technical users. A strong focus on data quality, testing, observability More ❯

This is a hands-on leadership role that balances deep technical work with people and project management. You’ll work with tools like Snowflake, dbt, Looker, Fivetran, and Monte Carlo, and collaborate with teams across the business, from Finance and Credit to Engineering and the Executive team. You’ll also take full ownership of the team … the team’s main point of contact, clearly communicating plans, progress, challenges, and timelines. Manage and evolve the modern data stack, which includes Fivetran, Snowflake, dbt, Looker, and Monte Carlo (for data observability). Design and maintain scalable dbt models and self-serve data tools (such as Looker) that empower analysts, data scientists, and non-technical … dbt, including working on large or complex dbt projects. Experience with cloud data warehouses (e.g. Snowflake) and ELT tools (e.g. Fivetran). Experience with data observability tools (e.g. Monte Carlo). Experience with BI tools (e.g. Looker, Mode, Tableau), including enabling self-serve access for non-technical users. A strong focus on data quality, testing, observability More ❯

and build adoption on your team’s initiatives 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 Experience and Attributes we'd More ❯

environments such as underwater, ground, air, and space. The group supports the full development arc of flight programs, including covariance analysis, high-fidelity sensor modeling, navigation filter prototyping, Monte Carlo analysis, flight software development, integration/testing, flight test support, and post-flight analysis. The candidate should have demonstrated achievements in one or more of these More ❯

trading desk within an investment bank. Experience in managing large software projects, particularly in the areas of trading and pricing systems. Strong knowledge of option pricing theory e.g. Monte Carlo. Ability to code clearly in Python and C++. A competitive salary and bonus. #J-18808-Ljbffr More ❯

This position is posted by Jobgether on behalf of Monte Carlo. We are currently looking for a Senior Solutions Architect, EMEA in the United Kingdom. Join a fast-growing environment where data reliability and AI innovation meet real-world impact. As a Senior Solutions Architect, you'll play a pivotal role in helping enterprise clients succeed with large More ❯

clients. The Person Experience of using machine learning techniques on real data is needed for this role. Desirable if the candidate has experience of random forests, XGboosts or Monte Carlo. Proficiency in Python for data manipulation and model development. Otherwise, proficiency in another language (such as R, Java etc) with the ability to learn Python. Understanding of data More ❯

ideas. Requirements 3+ years of 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 exploring new datasets, identifying data More ❯

ideas. Requirements 3+ years of 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 exploring new datasets, identifying data More ❯

years in a GNC technical leadership role for missile development programs. Proficiency in MATLAB/Simulink, C/C++, and simulation tools for GNC development, 6-DOF, and Monte-Carlo simulation. Strong knowledge of control theory, missile flight dynamics, and estimation techniques. Experience with embedded systems and real-time software implementation. Familiarity with IMUs, GPS, CAS More ❯

About Monte Carlo As businesses increasingly rely on data + AI for competitive advantage, reliability has become a non-negotiable. Named a CBInsights AI100 company and described by Forbes as the "New Relic for data", Monte Carlo supports some of the world's most prestigious companies, including Fox, Roche, Honeywell, and CreditKarma … to deliver trustworthy data + AI at scale. Backed by Accel, Redpoint Ventures, Notable Capital, ICONIQ Growth, and Salesforce Ventures, Monte Carlo is powering the future of reliable data + AI. About the role: We’re looking for an experienced customer-facing Solutions Architect who loves helping people, solving problems, and wants to be a major … extensive customer-facing experience, and the ability to oversee multiple engagements. Here’s what you’ll be doing: Be a strategic technical counterpart to the Success team at Monte Carlo. Define project scope based on the customer's needs and requirements, guide clear outcomes, and communicate technical and value propositions. Deliver implementations of Monte Carlo 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 ❯

optimisation models using Python libraries such as PuLP , ortools , or SciPy.optimize . Hands-on expertise in combinatorial optimisation , scheduling algorithms , network optimisation , and/or simulation methods (e.g., Monte Carlo, Markov chains). Strong track record of managing and growing high-performing data science teams. Excellent stakeholder management and communication skills – able to explain complex concepts More ❯

optimisation models using Python libraries such as PuLP , ortools , or SciPy.optimize . Hands-on expertise in combinatorial optimisation , scheduling algorithms , network optimisation , and/or simulation methods (e.g., Monte Carlo, Markov chains). Strong track record of managing and growing high-performing data science teams. Excellent stakeholder management and communication skills – able to explain complex concepts More ❯

optimisation models using Python libraries such as PuLP , ortools , or SciPy.optimize . Hands-on expertise in combinatorial optimisation , scheduling algorithms , network optimisation , and/or simulation methods (e.g., Monte Carlo, Markov chains). Strong track record of managing and growing high-performing data science teams. Excellent stakeholder management and communication skills – able to explain complex concepts More ❯

tools such as MATLAB and/or R Knowledge of powered flight and modelling of trajectory and guidance systems Knowledge of weapon effects modelling Knowledge of Numerical and Monte-Carlo methods Knowledge of Command and Control modelling Our non-negotiables Youmustbe eligible to work and live in the UK Due to the nature of the projects More ❯