1 to 25 of 41 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 … 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 ...

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 ...

frameworks and stochastic volatility models Strong knowledge of Credit and Inflation derivatives valuation Solid understanding of model calibration techniques and numerical methods, including Monte Carlo, PDE, lattice methods, and adjoint differentiation methods Strong programming skills in C++, including object-oriented design, STL, and performance considerations Good … Model Calibration Techniques Fixed Income Derivatives Valuation Model Governance Processes ATS Optimization Keywords Hard Skills Interest Rate Modelling Model Calibration Techniques Numerical Methods Monte Carlo PDE Lattice Methods Adjoint Differentiation Methods C++ Programming Python Programming Analytical Ability Soft Skills Leadership Autonomy Prioritization Analytical Ability Technical Discussion ...

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 ...

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 ...

Treasury, Financial Crime, or Data Science Solid working knowledge of Python and SQL Experience with probability distributions, time series analysis, regression modeling, and Monte Carlo simulations Excellent communication skills and the capacity to work effectively under pressure The ability to operate autonomously and engage confidently with ...

Python, kdb, Structured Query Language (SQL), mathematical finance/programming and statistics and probability Develop pricing models using numerical techniques for valuation including Monte Carlo Methods and partial differential equation solvers Collaborate closely with Traders, Structurers, and technology professionals. Work in close partnership with control functions ...

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 ...

Java or C# GPU programming CUDA or ROCm Parallel programming Distributed systems Cluster computing Job schedulers or batch-processing frameworks Linux Numerical computing Monte Carlo simulation Quantitative finance Trading technology Financial risk systems Performance optimisation Low-latency or high-throughput systems Consultancy or client-facing technical ...

varying formats and resolutions. Model Serving and Deployment Build serving infrastructure for pre-trained LPMs, supporting both zero-shot inference and uncertainty quantification (Monte Carlo Dropout). Design and implement model packaging pipelines for customer deployment. Models must run reliably in customer environments with fine-tuning ...

high impactsolutionsto complex data science problems Mentoring andStaffDevelopment Expertknowledgeof probability and statistics Expertisein a broad range ofdata science/machine learning algorithms (Monte Carlo simulation, neuralnetworks, logistic regression, random forest, etc.)withaproventrack recordof delivering solutions to complex problems. Proficiencywith Python or other scripting/programming languages ...

sell-side or buy-side institution in a front office quantitative role* Exceptional quant/analytical skills – knowledge of advanced pricing techniques (Monte Carlo, prepayment modelling and scenario engines), asset pricing theory, probability theory, and cash flow/bond maths (e.g. OAS calculations)* Experience designing, coding ...