1 to 25 of 50 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 ...

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 ...

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 ...

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 ...

Investment Advisors in London seeks a seniorQuant analyst to model and price exotic equity products and scripted payoffs. You will implement high-performance Monte Carlo engines and work closely with the equity trading desk to deliver disciplined insights. Applicants should have a STEM degree and 5+ ...

Risk Management framework and processes. Guide project teams in risk identification, assessment, mitigation and ongoing management. Undertake quantitative risk analysis, including Monte Carlo modelling, to assess residual risk, inform contingency setting and support project forecasting. Produce clear, timely risk reports, analysing trends and predictive insights … programme risk management, with a strong understanding of risk frameworks, governance and assurance. Strong analytical and numerical skills, including quantitative risk analysis and Monte Carlo techniques. Excellent communication and stakeholder management skills, with the confidence to challenge and influence at senior levels. The ability to facilitate ...

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 ...

Method is a global design and engineering consultancy founded in 1999. We believe that innovation should be meaningful, beautiful and human. We craft practical, powerful digital experiences that improve lives and transform businesses. Our teams [based in New York, Charlotte, Atlanta, London, Tokyo, Bengaluru, and remote] work with … wide range of organisations in many industries, including Healthcare, Financial Services, Retail, Automotive, Aviation, and Professional Services. Method is part of Hitachi Digital, a digital product engineering company. Hitachi Digital integrates experience design and complex engineering to help our clients imagine what’s possible and accelerate their transition into ...

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 ...

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 ...

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 ...

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 ...

reason about correctness. It’s a bonus if you are familiar with FX or financial markets experience Term structure modelling, stochastic calculus or Monte Carlo methods Interest rate curve bootstrapping Algorithmic execution experience Data lake or warehouse experience (Snowflake, Iceberg, Spark etc.) A product mindset ...

Vue.js/React Cloud & Ops: AWS, Terraform, CI/CD Databases: Elasticsearch/DynamoDB & PostgreSQL Machine Learning: Data Science models, NLP, Predictive Analysis, Monte Carlo Simulations Requirements: Full UK Right to Work (sponsorship unavailable). ...

curves, volatility surfaces, and interest rate volatility cubes (live/intraday data experience preferred) Experience in developing risk management tools such as VaR, Monte Carlo, scenario analysis and P&L is preferred Why TS Imagine/Benefits Please note : This role requires applicants to be based ...

major force in topflight rally competition. In 1971, Alpine took the three steps on the podium of the world-famous Rallye Monte Carlo for the first time and later again in 1973. The company went on to win the World Rally Championship Manufacturers’ title later that ...

months we have been building our Data Environment using historic records of Train Events and results from Simulation Engines (mostly Physics Engine based Monte-Carlo tools). As a Timetable Data Scientist, you will be informing timetable decisions on a micro and macro level. For example ...

flows. You will bring expert transistor‐level design of precision analog blocks (references, DACs, regulators, switches, clock distribution) taken through PVT and Monte‐Carlo, layout and silicon validation, together with expert Verilog‐A and Verilog‐AMS and strong real‐number modelling. You’d be a great ...

trade-offs, risks and next steps to business and technical audiences. Modelling and quantitative analysis: Strong knowledge of statistical methods, quantitative analysis and Monte Carlo simulation, together with experience applying these techniques to real business problems. Programming proficiency: Strong programming skills in Python. Experience with C# ...

trade-offs, risks and next steps to business and technical audiences. Modelling and quantitative analysis: Strong knowledge of statistical methods, quantitative analysis and Monte Carlo simulation, together with experience applying these techniques to real business problems. Programming proficiency: Strong programming skills in Python. Experience with C# ...

research organisation Nice to Have Knowledge of NMR spectroscopy and associated data processing pipelines Familiarity with simulation techniques such as molecular dynamics or Monte Carlo approaches, as well as an understanding of statistical mechanics and complex systems Ability to use HPC and/or cloud computing ...

currency), inflation curves, volatility surfaces, and interest rate volatility cubes (preferably live or intraday) Experience in developing risk management tools such as VaR, Monte Carlo, scenario analysis and P&L is preferred Why TS Imagine/Benefits Please note : This role requires applicants to be based ...