1 to 25 of 74 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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

building analytics for the Credit Portfolio Group and collaborating with traders, marketers and risk managers. The role emphasizes hands-on development of scalable Monte Carlo simulations for CVA/FVA, advanced numerical methods, and robust production-grade software. #J-18808-Ljbffr ...

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 ...

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 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 ...

/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 ...

including generative AI Predictive modeling using Machine Learning and Data Science techniques Time-series modeling (ARIMA and panel data models) and simulation models (Monte Carlo) Development, validation and audit of financial, risk, marketing and business-oriented models R&D projects Requirements: Recent graduates or final year ...

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 ...

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 ...

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 ...

platforms (e.g., JPMorgan Athena or comparable quantitative computing environments)Familiarity with distributed computing frameworks and techniques for scaling numerical workloadsKnowledge of statistical modeling, Monte Carlo simulation, and time-series forecasting methodologiesAbility to work effectively with large datasets and practical knowledge of SQL and database systemsProven ability ...