1 to 25 of 40 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 ...

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 ...

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 ...

/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 ...

/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 ...

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 ...

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 ...

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 ...

calculus, development including C++, Python, JavaScript React, mathematical finance/programming and statistics and probabilityDevelop pricing models using numerical techniques for valuation including Monte Carlo Methods and partial differential equation solversCollaborate closely with Traders, Structurers, and technology professionalsWork in close partnership with control functions such ...

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 ...

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 ...

Model Risk, Basel, Stress Testing, FRTB, CCAR is an advantage. Solid mathematical finance and statistical analysis skills. Familiarity with Numerical analysis/Monte-Carlo methods. Knowledge of probability and stochastic calculus. What we'll provide you27 days annual leave (plus bank holidays)A discretional annual performance ...

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 ...

C++ and Python and support trading desks in a hybrid setup. The role requires MSc/PhD in a quantitative field, strong Monte Carlo knowledge, and clear communication. Collaboration with IT, Risk and Trading stakeholders is expected, with a competitive base salary and benefits. #J ...

hold a Master’s or PhD in a quantitative field, with strong C++ and Python skills and experience in SABR/HJM models, Monte Carlo methods, and PDE solvers. #J-18808-Ljbffr ...

libraries that support real‐time pricing and risk management for FX Options products. Design and implement quantitative pricing models using numerical techniques including Monte Carlo methods and partial differential equation solvers. Develop production software using C++ and Python, applying object‐oriented design principles and performance optimisation ...