1 to 25 of 38 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 ...

adjustments (CVA and FVA), which are critical to the bank’s risk management and pricing strategies, and develops and maintains a large-scale Monte-Carlo engine using advanced numerical and computational techniques, including Adjoint Analytic Differentiation (AAD). As an Associate and Vice President … promoted business, promoting change through state-of-the-art AI and machine learning techniques. Job Responsibilities 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 ...

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 ...

managers, hedge funds, and other sophisticated market participants.**Responsibilities:*** Influence the product roadmap for portfolio risk analytics features, including Analytical/Historical/Monte Carlo VaR, factor-based performance attribution, and stress/scenario testing.* Collaborate with quantitative developers to design, validate, and implement factor risk … .* 6+ years’ experience in market risk analytics, preferably in product management, quantitative analysis, or risk technology roles.* Strong understanding of Historical/Monte Carlo VaR, factor attribution, stress testing, and related statistical/financial methodologies.* Experience with derivatives pricing models, stochastic processes, portfolio construction/ ...

Responsibilities : · Risk Identification: Proactively identify and assess potential project risks through engaging workshops and team discussions. · Risk Analysis: Conduct quantitative risk analysis using Monte Carlo simulation and reference class forecasting to inform decision-making. · Mitigation Planning: Develop and recommend strategies to minimise risk impact, seamlessly integrating … major infrastructure projects. · In-depth knowledge of project risk management principles, frameworks, and methodologies. · Proficiency in conducting bottom-up quantitative risk analysis, including Monte Carlo simulation and top-down techniques. · Familiarity with project risk management software (e.g., Primavera, Palisade). · Strong analytical skills that drive data ...

Responsibilities : · Risk Identification: Proactively identify and assess potential project risks through engaging workshops and team discussions. · Risk Analysis: Conduct quantitative risk analysis using Monte Carlo simulation and reference class forecasting to inform decision-making. · Mitigation Planning: Develop and recommend strategies to minimise risk impact, seamlessly integrating … major infrastructure projects. · In-depth knowledge of project risk management principles, frameworks, and methodologies. · Proficiency in conducting bottom-up quantitative risk analysis, including Monte Carlo simulation and top-down techniques. · Familiarity with project risk management software (e.g., Primavera, Palisade). · Strong analytical skills that drive data ...

implementing advanced mathematical and statistical models Deriving new quantitative models and enhancing existing solutions to improve business performance Applying complex statistical distributions and Monte Carlo simulation techniques to solve challenging modelling problems Leading quantitative modelling initiatives from concept through to production deployment Backtesting, validating and refining … record of delivering high-impact quantitative models Deep expertise in mathematical and statistical modelling techniques Strong understanding of probability, complex statistical distributions and Monte Carlo simulations Advanced Python skills for modelling, analysis and data manipulation Experience with model validation, backtesting and performance evaluation Strong understanding ...

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 ...

stages of the development life cycle (prototype to flight ready software). Analysis related work will include performance analysis, such covariance analysis, Monte Carlo analysis, and post-flight test data analysis. Testing will involve test driven development, integration and test support, and defect resolution Qualifications Deep … MATLAB/Simulink familiar with test driven development and Agile development practices Background in navigation performance analysis methodologies such as covariance analysis and Monte Carlo analysis Experience with navigation related sensors IMUs, GNSS, vision, etc. Security clearance is required US Citizen> Secret or above. ...

clear SLOs/SLA, observability, reliability engineering practices, and tight integration into trading/risk platforms. Provide technical leadership and mentorship; conduct code/method reviews, establish research engineering best practices (testing, CI/CD, reproducibility), and develop team capability. Communicate complex quantitative concepts to non‐technical audiences; influence … curve building (multi‐curve frameworks), volatility surface modelling/calibration (e.g., SABR, Heston, local/stochastic volatility), and numerical methods (PDE/FDM, Monte Carlo, adjoint/automatic differentiation). Experience with market risk, time‐series/stress analytics, model risk governance, and regulatory expectations ...

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 ...

embedded derivatives, hedging instruments, and public and private structured credit investments Leveraging technology in applied mathematics, statistics, computer science, and economics to implement Monte Carlo simulations, binomial trees, option pricing models, and securitisation waterfall models Leading all aspects of client engagements and managing a team ...

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 ...

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 ...

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 ...

finance/programming, and statistics and probability, potentially incorporating hardware acceleration. Develop sophisticated pricing models using advanced numerical techniques for valuation, such as Monte Carlo methods and partial differential equation solvers. Collaborate closely with Traders, Structurers, and technology professionals to deliver effective solutions. Work in close ...

years of experience utilizing project management/scheduling tool software suites: Microsoft Project; or KIDASA Milestone Professional; or Oracle Primavera; or Barbecana Full Monte; and software using the Monte Carlo simulation tools Have regularly and on a recurring basis participated as an active member ...

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 ...

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 you 27 days annual leave (plus bank holidays) A discretional annual ...

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 ...

Want We are looking to strengthen our talented team with an individual who has significant experience in Structural Analysis, FEA, or Engineering Method Development. You should be educated to degree level in Engineering or a related discipline. Additionally, you should have a strong understanding of FEA principles and developing … 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 ...

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 ...

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 ...