1 to 25 of 98 Monte Carlo Method Jobs

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 ...

layer: new business units, platforms, use cases, and stakeholders. Build technical champions. Identify and develop the advocates inside each account who will carry Monte Carlo into the next budget cycle, platform migration, or executive review. Run briefings, workshops, and architecture reviews that position our platform … infrastructure. Drive POVs that convert. When an account wants to extend Monte Carlo into a new platform, region, or team, you design the proof of value, set success criteria, and deliver a result that accelerates the commercial close. Own technical account strategy. Map the whitespace ...

model builds Assist with jitter and pointing performance analysis, including Monte Carlo dispersion modeling Assist with vibroacoustic analysis, including patch-method framework development Support modal test and analysis activities, including ground and flight test correlation Qualifications Bachelor's degree in mechanical engineering, aerospace engineering, physics … Exposure to multibody dynamics simulation concepts, including rigid-body dynamics; familiarity with LS-DYNA is a plus Exposure to vibroacoustic analysis concepts (e.g., patch method, Statistical Energy Analysis, Boundary Element Method) Familiarity with HALT/HASS testing concepts and dynamics-driven PCBA-level failure mechanisms Exposure to shared ...

model builds Assist with jitter and pointing performance analysis, including Monte Carlo dispersion modeling Assist with vibroacoustic analysis, including patch-method framework development Support modal test and analysis activities, including ground and flight test correlation Qualifications Bachelor's degree in mechanical engineering, aerospace engineering, physics … Exposure to multibody dynamics simulation concepts, including rigid-body dynamics; familiarity with LS-DYNA is a plus Exposure to vibroacoustic analysis concepts (e.g., patch method, Statistical Energy Analysis, Boundary Element Method) Familiarity with HALT/HASS testing concepts and dynamics-driven PCBA-level failure mechanisms Exposure to shared ...

model builds Assist with jitter and pointing performance analysis, including Monte Carlo dispersion modeling Assist with vibroacoustic analysis, including patch-method framework development Support modal test and analysis activities, including ground and flight test correlation Qualifications Bachelor's degree in mechanical engineering, aerospace engineering, physics … Exposure to multibody dynamics simulation concepts, including rigid-body dynamics; familiarity with LS-DYNA is a plus Exposure to vibroacoustic analysis concepts (e.g., patch method, Statistical Energy Analysis, Boundary Element Method) Familiarity with HALT/HASS testing concepts and dynamics-driven PCBA-level failure mechanisms Exposure to shared ...

languages used for heavy data analysis and simulation infrastructure (e.g., Python, C++, or similar). Demonstrated experience architecting and analyzing large-scale Monte Carlo campaigns. Experience processing and analyzing large datasets using modern data analytics libraries or frameworks. Experience modeling complex, multi-component physical systems (e.g. … languages used for heavy data analysis and simulation infrastructure (e.g., Python, C++, or similar). Demonstrated experience architecting and analyzing large-scale Monte Carlo campaigns. Experience processing and analyzing large datasets using modern data analytics libraries or frameworks. Experience modeling complex, multi-component physical systems (e.g. ...

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 … production-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 advanced ...

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 ...

controls.Job 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 ...

have grown 100% so far this year.This Quant role will focus on credit risk modelling, mainly potential future exposure simulations using the Banks Monte Carlo risk framework.The Quant Risk Manager will be joining the credit team looking at bank wide credit risk. The Successful Quant will … Tier University (top 20 UK)Some commercial experience of finance, in a Risk environmentC++ Matlab and SQLHave read HullUnderstanding of Black Scholes or Monte Carlo SimulationsUnderstanding of riskStochastic calculusAdvanced StatsThis is an outstanding opportunity to join a growing trading business at a time of significant ...

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 ...

primary focus on deriving new markets and enhancing existing offerings. Possess a deep understanding of complex statistical distributions and leverage techniques such as Monte Carlo simulations in model development. Rigorously backtest and validate models to ensure their robustness, accuracy, and profitability in real-world scenarios. Drive … successfully leading and delivering impactful quantitative models. Deep expertise in mathematical and statistical modeling including a strong understanding of complex statistical distributions and Monte Carlo simulations. Highly proficient in Python for all modeling, analysis, and data manipulation work. Strong experience in backtesting, validation, and performance evaluation ...

comparable 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 skills, preferably … classes, 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 closely with ...

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 ...

balanced, and commercially competitive. Create and maintain mathematical specifications for game implementations. Build simulation tools to validate theoretical calculations and game behaviour. Perform Monte Carlo simulations and statistical analysis to verify mathematical accuracy. Present and explain mathematical design decisions and how they affect player experience … presentation skills Proficient in JIRA or other project tools Key Skills Probability and statistics Mathematical modelling Game balancing RTP and volatility analysis Monte Carlo simulation Data analysis Excel C# or Python programming Problem solving Technical documentation Office Hours: (London Hybrid) 9am-6pm Office days are Tuesday ...

ensure robust model integrationImplement and maintain derivative pricing models (e.g. stochastic/local volatility, stochastic correlation, jump), using numerical techniques for valuation including Monte Carlo methods and partial differential equation solversOptimise the core codebase to ensure performance, stability, and engineering excellenceDevelop and support product payoff scripting … implementation of payoff scripting frameworksExpert-level experience in derivatives pricing and product knowledge, ideally in equity exoticsDeep knowledge of numerical methods, particularly Monte Carlo simulation and PDE solversAdvanced degree in Quantitative Finance, Mathematics, Physics, or related fieldExcellent communication and collaboration skillsConsistently demonstrates clear and concise written ...

evaluate flight dynamics, navigation error models, autopilot functions, guidance laws, and control-system performance. Use MATLAB and Simulink for trade studies, sensitivity analyses, Monte Carlo assessments, and requirements verification. Integrate algorithms with six-degree-of-freedom and hardware-in-the-loop environments. Analyze system performance, document … Experience with Kalman filtering, inertial navigation, GPS-aided navigation, sensor fusion, target-state estimation, or tracking. Experience with six-degree-of-freedom simulation, Monte Carlo analysis, flight envelopes, and performance requirements allocation. Working knowledge of C/C++, Python, embedded implementation, or automatic code-generation workflows. ...

evaluate flight dynamics, navigation error models, autopilot functions, guidance laws, and control-system performance. Use MATLAB and Simulink for trade studies, sensitivity analyses, Monte Carlo assessments, and requirements verification. Integrate algorithms with six-degree-of-freedom and hardware-in-the-loop environments. Analyze system performance, document … Experience with Kalman filtering, inertial navigation, GPS-aided navigation, sensor fusion, target-state estimation, or tracking. Experience with six-degree-of-freedom simulation, Monte Carlo analysis, flight envelopes, and performance requirements allocation. Working knowledge of C/C++, Python, embedded implementation, or automatic code-generation workflows. ...

evaluate flight dynamics, navigation error models, autopilot functions, guidance laws, and control-system performance. Use MATLAB and Simulink for trade studies, sensitivity analyses, Monte Carlo assessments, and requirements verification. Integrate algorithms with six-degree-of-freedom and hardware-in-the-loop environments. Analyze system performance, document … Experience with Kalman filtering, inertial navigation, GPS-aided navigation, sensor fusion, target-state estimation, or tracking. Experience with six-degree-of-freedom simulation, Monte Carlo analysis, flight envelopes, and performance requirements allocation. Working knowledge of C/C++, Python, embedded implementation, or automatic code-generation workflows. ...

evaluate flight dynamics, navigation error models, autopilot functions, guidance laws, and control-system performance. Use MATLAB and Simulink for trade studies, sensitivity analyses, Monte Carlo assessments, and requirements verification. Integrate algorithms with six-degree-of-freedom and hardware-in-the-loop environments. Analyze system performance, document … Experience with Kalman filtering, inertial navigation, GPS-aided navigation, sensor fusion, target-state estimation, or tracking. Experience with six-degree-of-freedom simulation, Monte Carlo analysis, flight envelopes, and performance requirements allocation. Working knowledge of C/C++, Python, embedded implementation, or automatic code-generation workflows. ...

Mesh, Lakehouse and streaming architectureWorking experience of modern data & event-driven technologies, such as:Testing & Automation: PyTest, Cucumber, Behave, DBT, GreatExpectations, GCP DVT, Monte Carlo, Soda, Deequ, RestAssured etcData Engineering & Orchestration: BigQuery, Spanner, Apache Kafka, Airflow, Spark, Cloud Composer, DAGs, Apache Beam, Pub/Sub, Dataflow ...

mesh.Proficiency 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., automated ...

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 ...