14 of 14 Remote Permanent Monte Carlo Method Jobs

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 ❯

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 ❯

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 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 ❯

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 ❯

to achieve high predictability. Use RF measurement equipment and troubleshoot measurement-related issues. Contribute to IC design planning, risk analysis, and performance alignment. Conduct high-level simulations including Monte Carlo and corner case analysis. Document designs, simulation results, and measurements for internal and external review. Collaborate effectively across internal and external teams, facilitating communication between IC More ❯

of the art offices across the world in central locations Company incentives, all expenses paid summer and Christmas parties, as well as high performance trips abroad (Ibiza, Paris, Monte Carlo) More Human Please: We succeed together We simplify the complex At the core of our Go Beyond culture, are these four values, which are driven through More ❯

but achievable quotas - 85% of 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 sell at C-level and 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: Monte Carlo is growing its Customer Success team. In the role of Strategic Customer Success Manager, you'll … quarterback the relationship with Monte Carlo's most significant and most strategic customers to help them bring trust to their data. This includes planning and executing enterprise rollouts, navigating stakeholders and executives, defining and sharing best practices, quantifying and articulating value, nurturing expansion opportunities, and collaborating across product, engineering, sales, and marketing. Monte Carlo More ❯