London, England, United Kingdom Hybrid / WFH Options
Deutsche Bank
Finance, Maths, Physics, Computer Science Excellent communication skills, both written and verbal with attention to detail Strong Maths skills in probability, stochastic calculus and numerical methods (finite differences, MonteCarlo) Good computing and programming skills, including C++ experience Highly motivated, with a keen enthusiasm to learn and take on new challenges How We’ll Support You More ❯
London, England, United Kingdom Hybrid / WFH Options
Aubay UK
interview process. Required Skills and Experience Previous work experience working as a quant in an energy commodity trading organisation Experience in modelling spot/forward price processes, building MonteCarlosimulation tools, multifactor models, gas storage models, and commodity option pricing (spread and exotic), modelling stochastic volatility and correlation in commodity prices. Expert-level coding skills More ❯
London, England, United Kingdom Hybrid / WFH Options
Deutsche Bank
Maths, Physics, Computer Science). Excellent communication skills, both written and verbal with attention to detail. Strong Maths skills in probability, stochastic calculus and numerical methods (finite differences, MonteCarlo). Good computing and programming skills, including experience of C++. Highly motivated, enthusiastic with a keen willingness to learn and take on new challenges. How we More ❯
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 ❯
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 ❯
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 ❯
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 ❯
Hounslow, England, United Kingdom Hybrid / WFH Options
MarkJames Search
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 ❯
London, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
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 ❯
London, England, United Kingdom Hybrid / WFH Options
Mako
new methodologies What We Need From You STEM degree; e.g. Maths, Physics, Engineering Strong understanding of stochastic calculus and numerical analysis Experience in numerical simulations: differential equations and MonteCarlo Experience with any programming languages; e.g. Python, Matlab/Octave (willing to learn and work with C++ and Python) We are Mako Benefits At Mako, we More ❯
Dorchester, England, United Kingdom Hybrid / WFH Options
Amentum
happy to discuss hybrid, part-time and flexible working hours, patterns and locations to suit you and our business. About the Opportunity We are currently recruiting for a MonteCarlo methods developer to join a cutting-edge development team for simulation of Radiation Transport and Reactor Physics. The role involves methods and software development to support … and applications we develop, used around the world, across our full range of engineering services. ANSWERS are looking for an enthusiastic and innovative individual with strong experience in MonteCarlo simulations to work in a variety of technical teams, developing and maintaining our state-of-the-art computational analysis codes, and assisting with analysis work for … interaction with international commercial customers Qualifications An undergraduate degree in mathematics, physics or engineering, or any other subject with a strong mathematical component Experience in the application of MonteCarlo methods to modelling radiation transport A strong background in mathematical and physical theory and its implementation in computational modelling software Programming skills in languages such as 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 ❯
Slough, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
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 ❯
London, England, United Kingdom Hybrid / WFH Options
Push Gaming
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 MonteCarlo 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 ❯
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 ❯
City of London, London, United Kingdom Hybrid / WFH Options
Harrington Starr
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 MonteCarlosimulation, 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 MonteCarlosimulation, 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 ❯
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 ❯
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 ❯
City of London, London, United Kingdom Hybrid / WFH Options
KDR Talent Solutions
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 ❯