1 to 25 of 67 Monte Carlo Method Jobs

Title: Monte Carlo Implementation SME/Consultant Location: London (hybrid - 3 days onsite per week) Salary/Rate: £(Apply online only) per day inside IR35 Start Date: October Job Type: Initial contract until February 2027, with scope to extend Company Introduction We have an exciting opportunity … available with one of our sector-leading consultancy clients! They are currently looking for a skilled Monte Carlo Implementation SME/Consultant to join their global asset manager client on a hybrid basis. Job Responsibilities/Objectives The organisation is currently implementing Monte Carlo ...

About Monte CarloMonte Carlo is the agent trust platform that unifies data and agent observability to monitor, troubleshoot, and improve production AI systems. As enterprises prepare to deploy thousands of agents across business-critical use cases, Monte Carlo provides the reliability infrastructure … support them along this AI transformation, from human-guided agents to fully autonomous operations. Founded in 2019 and backed by leading investors, Monte Carlo empowers data and AI teams to ship trusted AI at scale. Learn more at montecarlodata.com. The EMEA Partner Manager will be responsible ...

About Monte Carlo Monte Carlo is the agent trust platform that unifies data and agent observability to monitor, troubleshoot, and improve production AI systems. As enterprises prepare to deploy thousands of agents across business-critical use cases, Monte Carlo … support them along this AI transformation, from human-guided agents to fully autonomous operations. Founded in 2019 and backed by leading investors, Monte Carlo empowers data and AI teams to ship trusted AI at scale. Learn more at montecarlodata.com. About the role: Our Strategic Sales team ...

time and flexible working hours, patterns and locations to suit you and our business. About the Opportunity We are currently recruiting for a Monte Carlo methods developer to join a cutting-edge development team for simulation of Radiation Transport and Reactor Physics. The role involves methods … around the world, across our full range of engineering services. ANSWERS are looking for an enthusiastic and innovative individual with strong experience in Monte Carlo simulations to work in a variety of technical teams, developing and maintaining our state-of-the-art computational analysis codes ...

Implement and support quantitative models using a combination of mathematical and computer science techniques. Develop pricing and valuation models using numerical methods, including Monte Carlo simulations and PDE solvers. Build high-quality software using C++ and Python, alongside technologies such as C#/.NET, Java … financial products. Strong communication skills with the ability to work effectively with both technical and business stakeholders. Nice to have Desirable Technical Experience Monte Carlo modelling Partial Differential Equation (PDE) solvers Numerical analysis Quantitative pricing and risk analytics Hardware acceleration kdb/time-series market data ...

Amentum is seeking a Monte Carlo methods developer to join our Radiation Transport and Reactor Physics team. You will contribute to code development, maintain/simulate complex models and deliver technical training to a specialist audience. Based in the UK, the role offers hybrid working, potential ...

responsibilities Develop advanced analytical, pricing and risk-management models for fixed income products, grounded in rigorous mathematics stochastic processes, martingale pricing, PDE and Monte Carlo methods, and numerical optimisation Develop analytical risk and sensitivity techniques closed-form and adjoint/algorithmic-differentiation Greeks, risk decomposition … closely related quantitative discipline, with demonstrable strength in advanced mathematics Strong command of stochastic calculus, probability theory, numerical analysis and PDE/Monte Carlo techniques as applied to derivatives pricing and risk Solid understanding of fixed income analytics and risk term-structure and yield-curve construction ...

responsibilities Develop advanced analytical, pricing and risk-management models for fixed income products, grounded in rigorous mathematics stochastic processes, martingale pricing, PDE and Monte Carlo methods, and numerical optimisation Develop analytical risk and sensitivity techniques closed-form and adjoint/algorithmic-differentiation Greeks, risk decomposition … closely related quantitative discipline, with demonstrable strength in advanced mathematics Strong command of stochastic calculus, probability theory, numerical analysis and PDE/Monte Carlo techniques as applied to derivatives pricing and risk Solid understanding of fixed income analytics and risk term-structure and yield-curve construction ...

advanced reactor and fusion programmes. Working in multidisciplinary teams, you will ensure neutronics analysis meaningfully informs design decisions and programme strategy. Responsibilities Perform Monte Carlo neutronics analyses using tools such as OpenMC for neutron and photon responses relevant to fusion device optimisation and design, comprising facility … will be considered for the role of Senior Neutronics Engineer. Considerations will be made for hiring into a Senior role. Demonstrated experience with Monte Carlo neutronics codes such as OpenMC, and inventory codes such as FISPACT‐II. Proficiency in Python for scientific computing, workflow automation ...

quantitative modeling role in the financial sector. XVA-related experience is especially valuable. Strong knowledge of financial products and related quantitative methods, especially Monte Carlo simulation techniques. Clear and concise written and verbal communication skills. An MSc or PhD degree in a quantitative subject. Strong programming … directly influencing trading decisions and control functions. Advanced Quantitative Work:Engage in complex analytics, utilizing probability theory, financial mathematics, and numerical techniques like Monte Carlo simulation. Technical Excellence:Develop and implement solutions primarily in C++ and Python, contributing to robust and performant analytics. Collaborative Environment:Work ...

engineering excellence. Implement and maintain derivative pricing models — including stochastic and local volatility, stochastic correlation, and jump processes — using numerical methods such as Monte Carlo simulation and PDE solvers. Develop analytics libraries that support real-time pricing and risk management across Citi's equity derivatives business. … Expert-level knowledge of derivatives pricing and products, with particular depth in equity derivatives. Deep expertise in numerical methods for financial modelling, specifically Monte Carlo simulation and partial differential equation solvers. Advanced degree in Quantitative Finance, Mathematics, Physics, or a closely related quantitative discipline. Clear ...

stages of the development life cycle (prototype to flight ready software). Analysis related work will include performance analysis, such covariance analysis, Monte Carlo analysis, and post-flight test data analysis. Testing will involve test driven development, integration and test support, and defect resolution Qualifications Deep … MATLAB/Simulink familiar with test driven development and Agile development practices Background in navigation performance analysis methodologies such as covariance analysis and Monte Carlo analysis Experience with navigation related sensors IMUs, GNSS, vision, etc. Security clearance is required US Citizen> Secret or above. ...

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 ...

with cloud platforms (GCP and/or AWS) and infrastructure as code (e.g., Terraform). Experience with monitoring/observability tooling (e.g., Datadog, Monte Carlo, Grafana) for proactive detection of data quality and pipeline issues. Familiarity with CI/CD practices applied to data workflows (e.g. ...

Cortex Analyst; build internal tools for ops, finance, and service teams First 90 Days Audit Domo pipelines and produce a source inventory - ingestion method, refresh schedule, and downstream consumers for every source Stand up Snowflake three-layer architecture, RBAC, and dbt project scaffold with dev/prod environments Configure … small team can maintain Pipeline monitoring and observability - SLA definition, drift alerting, and incident response before business users are impacted; experience with Elementary, Monte Carlo, or dbt's built-in freshness and source monitors preferred Python for custom ingestion - SFTP, REST APIs, email-delivered files Data ...

each customer use case. This will unlock faster, more reliable insights across our customer-facing products. With the growing adoption of our Monte Carlo simulation engine, we can understand the impact of changes to our algorithmic underwriting before they’re released, as well as stress-test ...

/ML user experience Build and maintain scalable data pipelines for BigQuery using Cloud Composer and Airflow. Provide observability and monitoring using Monte Carlo and Looker as well as operational tools such as NewRelic and Splunk, driving reliability, data quality, data quality and robustness. Scope ...

/ML user experience Build and maintain scalable data pipelines for BigQuery using Cloud Composer and Airflow. Provide observability and monitoring using Monte Carlo and Looker as well as operational tools such as NewRelic and Splunk, driving reliability, data quality, data quality and robustness. Scope ...

Staff Data Engineer or in an equivalent technical leadership role in data quality, observability, or governance. Deep knowledge of data observability frameworks (Monte Carlo, Soda, or equivalent) and data validation tools (Great Expectations, DBT tests, etc.). Deep understanding of data-as-a-product principles ...

containerization (Docker, Kubernetes) Knowledge of encryption, anonymization, and tokenization Experience with open table formats and data catalogs Familiarity with data observability tools (e.g., Monte Carlo, Datadog, Prometheus) Who You Are (Soft Skills): Detail-oriented, with a strong data quality mindset Strong problem-solving and troubleshooting skills ...

Data Engineering: Experience building and maintaining production data pipelines, or working with AWS services such as Lambda, EventBridge and DynamoDB. Simulation: Experience with Monte Carlo methods or probabilistic simulation. AI Integration: Comfortable using AI-assisted coding tools such as Claude Code or Cursor as part ...

technical architecture discussions and engineering design reviews. Experience in setting up self‐healing and resilient data, and setting up monitoring and alerting using Monte Carlo, PagerDuty and DataDog. Experience managing and delivering multiple projects at the same time is necessary. Excellent people management, communication, presentation ...

days in City of London. Responsibilities include building scalable data pipelines (BigQuery, Dataflow/Apache Beam, Airflow), ensuring data quality and observability (Looker, Monte Carlo), and collaborating with product engineering and data science teams to plan data tracking and ingestion tasks. #J-18808-Ljbffr ...

understanding of risk modelling. Credit experience is preferred. Very good grasp and understanding of mathematical concepts like probability, statistics, stochastic calculus, linear algebra, Monte Carlo techniques. MSC in a related discipline Good knowledge of Python, SQL, Matlab, VBA. Good understating of financial products (Bonds, Derivatives ...

navigate differing stakeholder points of view. Understanding of investment models, assets and systems of assets, including Optimisation (linear and non-linear), Prioritisation and Monte Carlo analysis. Experience of working for a large asset owning company, or on projects for such companies, would be advantageous. Predictive ...