1 to 25 of 35 Permanent Monte Carlo Method Jobs in the UK

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 ❯

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 our Strategic Sales Development Representative (SDR) based in London, who will be responsible for identifying pipeline opportunities for … the company learn from them. Speed: Sense of urgency to get results and learnings as quickly as possible. Come As You Are Equality is a core tenet of Monte Carlo's culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Monte Carlo More ❯

right solution for the right business problem statement. 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 Skills & Attributes We'd Like More ❯

grasp of their needs and how they operate Big data technologies, with expertise in tools & platforms such as Airflow, dbt, Kafka, Databricks and data observability & catalogue) solutions (e.g. Monte Carlo, Atlan, Datahub) Cloud Platform Proficiency: Familiarity with AWS, GCP, or Microsoft Azure, with hands-on experience building scalable, reliable data solutions on cloud platforms A passion More ❯

would enable companies in the entertainment industry to significantly increase profit margins. You'll use a raft of different techniques from timeseries analysis to bayesian statistics, reinforcement learning & Monte Carlo Simulations. Your Experience : You'll likely come from a strong quantitative degree background in Science or Maths and have worked 2-4 years as a Data 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 ❯

including libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn. Skilled in developing and deploying credit risk models, including scorecard thresholds, limit optimisation, and loss reduction. Experience with Monte Carlo simulations or Bayesian modelling (e.g., PyMC3) is a plus. Strong communication skills, with the ability to convey complex analysis to both technical and non-technical stakeholders. More ❯

work experience working as a quant in an energy commodity trading organisation, preferably in LNG, gas, power or oil. Experience in modelling spot/forward price processes, building Monte Carlo simulation tools, multifactor models, gas storage models, and commodity option pricing (spread and exotic), pricing complex commodity structures, modelling stochastic volatility and correlation in commodity prices. More ❯

work experience working as a quant in an energy commodity trading organisation, preferably in LNG, gas, power or oil. Experience in modelling spot/forward price processes, building Monte Carlo simulation tools, multifactor models, gas storage models, and commodity option pricing (spread and exotic), pricing complex commodity structures, modelling stochastic volatility and correlation in commodity prices. More ❯

term commercial impact and building 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 Experience Understanding of various data More ❯

Python (especially scientific libraries: PyMC, NumPy, SciPy, pandas, etc.) and experience working with probabilistic programming frameworks (e.g. PyMC, Stan, TensorFlow Probability). Experience designing and deploying Bayesian networks, Monte Carlo simulations, or other probabilistic models in complex real-world systems. Demonstrated experience developing enterprise-scale data modelling platforms or risk analysis tools Solid knowledge of software More ❯

Python (especially scientific libraries: PyMC, NumPy, SciPy, pandas, etc.) and experience working with probabilistic programming frameworks (e.g. PyMC, Stan, TensorFlow Probability). Experience designing and deploying Bayesian networks, Monte Carlo simulations, or other probabilistic models in complex real-world systems. Demonstrated experience developing enterprise-scale data modelling platforms or risk analysis tools Solid knowledge of software More ❯

Python (especially scientific libraries: PyMC, NumPy, SciPy, pandas, etc.) and experience working with probabilistic programming frameworks (e.g. PyMC, Stan, TensorFlow Probability). Experience designing and deploying Bayesian networks, Monte Carlo simulations, or other probabilistic models in complex real-world systems. Demonstrated experience developing enterprise-scale data modelling platforms or risk analysis tools Solid knowledge of software More ❯

usage based economics - Build and maintain dbt models in Snowflake that translate raw product telemetry into ARR, margin, and unit economics views. Forecast revenue & costs - Design Python driven Monte Carlo and statistical models to project usage, revenue, and gross margin under multiple scenarios. Run variance & root cause analyses - Explain plan vs actual deltas across revenue, COGS More ❯

the quantum technology industry. It would be fantastic if you have these skills but not essential: Experience in modern signal processing methods (e.g. Bayesian methods, particle filtering, sequential Monte Carlo methods); Experience in sensor modelling and sensor signal processing, including data fusion;Experience working in an interdisciplinary context with R&D scientists and engineers. Experience in More ❯

for coaching others Tech Environment Cloud : AWS (Kinesis, Lambda, S3, ECS, etc.) Data Warehouse : Snowflake Transformation & Orchestration : Python, DBT, Airflow IaC & DevOps : Terraform, GitHub Actions, Jenkins Monitoring & Governance : Monte Carlo, Collate Interested? If you're excited about platform-level ownership, technical influence, and building systems that help people tell their stories-get in touch. You don More ❯

levels of quality and good commercial outcomes. Oversee the development of complex statistical models and tools using techniques such as regression analysis, time series and survival analyses, and Monte Carlo simulation. Code and review tools in modern computing languages (, R, SAS, or Python). Establish policies and processes for the Quants team to act as an More ❯

levels of quality and good commercial outcomes. Oversee the development of complex statistical models and tools using techniques such as regression analysis, time series and survival analyses, and Monte Carlo simulation. Code and review tools in modern computing languages (e.g., R, SAS, or Python). Establish policies and processes for the Quants team to act as More ❯

RDBMS (PostgreSQL, MySQL), NoSQL (DynamoDB, Cassandra), data lakes (Parquet, ORC), and warehouse paradigms. Observability & Quality: Deep familiarity with metrics, logging, tracing, and data quality tools (e.g., Great Expectations, Monte Carlo, custom validation/test suites). Security & Governance: Data encryption, secrets management, RBAC/ABAC, and compliance awareness (GDPR, CCPA). CI/CD for Data More ❯

the quantum technology industry. It would be fantastic if you have these skills but not essential: Experience in modern signal processing methods (e.g. Bayesian methods, particle filtering, sequential Monte Carlo methods). Experience in sensor modelling and sensor signal processing, including data fusion. Familiarity with the Python programming language for scientific computing. Familiarity with quantum and More ❯

required: 3+ years' experience within predictive modelling, machine learning, and probability theory. Ideally this would be within sports or gaming/betting industries. Understanding of techniques such as Monte Carlo simulation, Bayesian modelling, GLMs, mixed effects models, time series forecasting etc Strong programming ability, preferably in Python SQL and relational databases The company offer some great More ❯

you have these skills but not essential: Familiarity with the Python programming language for scientific computing. Experience in modern signal processing methods (e.g. Bayesian methods, particle filtering, sequential Monte Carlo methods); Experience in sensor modelling and sensor signal processing, including data fusion;Experience modelling optically-pumped magnetometry in warm atomic vapour cells; Experience modelling real experiments More ❯

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 ❯

Python, FastAPI Frontend: Vue.js Cloud: AWS Databases: Elasticsearch & Postgres And more This role offers exciting opportunities to dive into various areas, including Natural Language Processing, Random Forest and Monte Carlo Simulations, Classification, Big Data ETL Pipelines, High Volume Event Processing, Predictive Analysis, CI/CD Cloud Ops, Mentoring, UX Design, Data Visualization, and Build Management Systems More ❯