1 to 25 of 92 Permanent Monte Carlo Method Jobs

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 ...

ColVA, MVA and KVA, covering model theory, assumptions, calibration and implementation. Reviewing the underlying exposure simulation framework, including risk factor models, Monte Carlo engines, netting and collateral modelling. Building independent benchmark and challenger models to test model outputs, sensitivities and numerical stability. Assessing model limitations, conducting … Strong grounding in derivatives pricing across one or more asset classes, such as rates, FX, credit or equities. Solid knowledge of stochastic calculus, Monte Carlo simulation and numerical methods, including American Monte Carlo techniques. Proficiency in Python and/or C++ ...

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 ...

budget or schedule. Bite ingests the whole tender pack, auto-builds the risk register for the team to review, and prices it with Monte Carlo simulation reconciled against a reference class of similar completed projects. Through delivery, an AI auditor tracks risks and treatments, and every … archives into structured, citable data the risk model can trust. Take the risk model from research to production with Phil: reference class forecasting, Monte Carlo pricing, and the evals proving accuracy. Hire and grow the engineering team, and set the bar every subsequent hire is measured ...

remediation plans with data owners and engineering teams through to closure Evaluate, implement, and administer data quality and observability tooling (e.g., Collibra, Informatica, Monte Carlo, Great Expectations) as part of the broader data catalog and lineage stack Establish data quality SLAs/SLOs with data owners … observability checks integrate into ETL/ELT and streaming workflows Hands-on experience with data quality/observability platforms (e.g., Collibra, Informatica, Monte Carlo, Great Expectations, Soda) and catalog/lineage tools (e.g., Alation, Informatica Axon) Proficiency with SQL and at least one scripting language (Python ...

remediation plans with data owners and engineering teams through to closure Evaluate, implement, and administer data quality and observability tooling (e.g., Collibra, Informatica, Monte Carlo, Great Expectations) as part of the broader data catalog and lineage stack Establish data quality SLAs/SLOs with data owners … observability checks integrate into ETL/ELT and streaming workflows Hands-on experience with data quality/observability platforms (e.g., Collibra, Informatica, Monte Carlo, Great Expectations, Soda) and catalog/lineage tools (e.g., Alation, Informatica Axon) Proficiency with SQL and at least one scripting language (Python ...

remediation plans with data owners and engineering teams through to closure Evaluate, implement, and administer data quality and observability tooling (e.g., Collibra, Informatica, Monte Carlo, Great Expectations) as part of the broader data catalog and lineage stack Establish data quality SLAs/SLOs with data owners … observability checks integrate into ETL/ELT and streaming workflows Hands-on experience with data quality/observability platforms (e.g., Collibra, Informatica, Monte Carlo, Great Expectations, Soda) and catalog/lineage tools (e.g., Alation, Informatica Axon) Proficiency with SQL and at least one scripting language (Python ...

stakeholder management skills. Desirable Experience Experience supporting data quality transformation/change programmes. Experience with data quality/observability tools such as Monte Carlo (preferred), Collibra, Informatica, Alation, Ataccama, Great Expectations, Soda, Talend, Dataiku or IBM InfoSphere; Monte Carlo is not essential. ...

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 ...

which are critical to the bank’s risk management and pricing strategies. The group develops and maintains a large-scale Monte-Carlo engine in order to effectively manage these adjustments. Advanced numerical and computational techniques are used to achieve this including the use of Adjoint Analytic … grade solutions. As such, a strong quantitative background is not a key requirement for this role. Design, develop, and enhance our large-scale Monte Carlo simulation engine used for computing Credit Valuation Adjustment (CVA) and Funding Valuation Adjustment (FVA) across the firm's derivatives portfolio. Implement ...

which are critical to the bank's risk management and pricing strategies. The group develops and maintains a large-scale Monte-Carlo engine in order to effectively manage these adjustments. Advanced numerical and computational techniques are used to achieve this including the use of Adjoint Analytic … grade solutions. As such, a strong quantitative background is not a key requirement for this role. Design, develop, and enhance our large-scale Monte Carlo simulation engine used for computing Credit Valuation Adjustment (CVA) and Funding Valuation Adjustment (FVA) across the firm's derivatives portfolio. Implement ...

responsibilitiesDevelop 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 optimisationDevelop analytical risk and sensitivity techniques — closed-form and adjoint/algorithmic-differentiation Greeks, risk decomposition and attribution … closely related quantitative discipline, with demonstrable strength in advanced mathematicsStrong command of stochastic calculus, probability theory, numerical analysis and PDE/Monte Carlo techniques as applied to derivatives pricing and riskSolid understanding of fixed income analytics and risk — term-structure and yield-curve construction, multi-curve ...

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 ...

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 ...

with data mesh, data product operating models, or modern data governance frameworks. Exposure to Data Quality and Observability platforms such as Great Expectations, Monte Carlo, or Soda. Industry experience within Financial Services, Energy & Utilities, Healthcare, Manufacturing, or Retail. Cloud provider and/or platform certifications across ...

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 ...

Python skills coupled with experience working in modern cloud-based data environments. Hands-on experience with data observability tools such as Grafana, Monte Carlo, or Acceldata, and data governance/quality platforms like Informatica, Collibra or Microsoft Purview is highly desirable. Experience within the Azure ecosystem ...

Python skills and experience working in modern cloud-based data environments. Hands-on experience with data observability tools such as Grafana, Monte Carlo, or Acceldata, and data governance/quality platforms like Informatica, Collibra or Microsoft Purview is highly desirable. Experience within the Azure ecosystem (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 ...

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 ...