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., MonteCarlo 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 MonteCarlosimulation, 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 ❯
City of London, London, United Kingdom Hybrid / WFH Options
Harnham
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., MonteCarlo, 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., MonteCarlo, 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 ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
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., MonteCarlo, 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 MonteCarlo 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, MonteCarlo, 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 ❯
ll join at a particularly transformative time, as the business builds a next-generation forecasting platform — utilising the latest advancements in data science, cloud computing, machine learning, AI, MonteCarlosimulation, and big data analytics to create more accurate and insightful forecasts than ever before. Key Responsibilities: Lead delivery of short, medium, and long-term passenger 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, MonteCarlo, 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 ❯
City of London, London, United Kingdom Hybrid / WFH Options
Quantemol Ltd
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, MonteCarlo, 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 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 MonteCarlo 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 ❯
Hart, Yorkshire, United Kingdom Hybrid / WFH Options
Cinch Cars
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 (MonteCarlo, 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, MonteCarlosimulation, 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 ❯
building 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., MonteCarlo, 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 ❯
Cambridge, Cambridgeshire, United Kingdom Hybrid / WFH Options
Forefront RF Ltd
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 MonteCarlo 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 ❯
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 MonteCarlo 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 MonteCarlo 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", MonteCarlo 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, MonteCarlo is powering the future of reliable data + AI. About the role: MonteCarlo is growing its Customer Success team. In the role of Strategic Customer Success Manager, you'll … quarterback the relationship with MonteCarlo'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. MonteCarloMore ❯