1 to 25 of 66 Monte Carlo Method Jobs

quantitative risk and pricing models for market, credit, and liquidity risk, including simulation and valuation tools for complex energy portfolios. Design and run Monte Carlo and scenario simulations (e.g. for P&L, exposure, stress and what-if analyses) to support decision-making on transaction, portfolio … stack (NumPy, pandas, SciPy, scikit-learn or similar). You write clean, production-grade code, not just notebooks. Solid understanding of stochastic processes, Monte Carlo simulation, and time series analysis; familiarity with derivative pricing, valuation and risk metrics (e.g. VaR, ES, sensitivities) is highly welcome. Practical ...

quantitative risk and pricing models for market, credit, and liquidity risk, including simulation and valuation tools for complex energy portfolios. Design and run Monte Carlo and scenario simulations (e.g. for P&L, exposure, stress and what-if analyses) to support decision-making on transaction, portfolio … stack (NumPy, pandas, SciPy, scikit-learn or similar). You write clean, production-grade code, not just notebooks. Solid understanding of stochastic processes, Monte Carlo simulation, and time series analysis; familiarity with derivative pricing, valuation and risk metrics (e.g. VaR, ES, sensitivities) is highly welcome. Practical ...

curated datasets; contribute to feature stores and reproducible data pipelines with clear versioning and provenance. Quantify uncertainty and risk (confidence intervals, calibration, Monte Carlo simulation, scenario analysis) to support decisions in safety- and mission-critical contexts. Ensure Responsible Data and AI practices: explainability (e.g., SHAP/… containers (Docker) is desirable; GPU acceleration awareness is a plus. Optional domain toolkits (a plus): time series (Prophet, darts), geospatial (GeoPandas), simulation/Monte Carlo, causal inference (DoWhy, EconML). Preferred Skills : Governance of analytics architecture/datasets and data catalogues throughout the project lifecycle. Experience ...

quantitative risk and pricing models for market, credit, and liquidity risk, including simulation and valuation tools for complex energy portfolios. Design and run Monte Carlo and scenario simulations (e.g. for P&L, exposure, stress and what-if analyses) to support decision-making on transaction, portfolio … stack (NumPy, pandas, SciPy, scikit-learn or similar). You write clean, production-grade code, not just notebooks. Solid understanding of stochastic processes, Monte Carlo simulation, and time series analysis; familiarity with derivative pricing, valuation and risk metrics (e.g. VaR, ES, sensitivities) is highly welcome. Practical ...

quantitative risk and pricing models for market, credit, and liquidity risk, including simulation and valuation tools for complex energy portfolios. Design and run Monte Carlo and scenario simulations (e.g. for P&L, exposure, stress and what-if analyses) to support decision-making on transaction, portfolio … stack (NumPy, pandas, SciPy, scikit-learn or similar). You write clean, production-grade code, not just notebooks. Solid understanding of stochastic processes, Monte Carlo simulation, and time series analysis; familiarity with derivative pricing, valuation and risk metrics (e.g. VaR, ES, sensitivities) is highly welcome. Practical ...

quantitative risk and pricing models for market, credit, and liquidity risk, including simulation and valuation tools for complex energy portfolios. Design and run Monte Carlo and scenario simulations (e.g. for P&L, exposure, stress and what-if analyses) to support decision-making on transaction, portfolio … stack (NumPy, pandas, SciPy, scikit-learn or similar). You write clean, production-grade code, not just notebooks. Solid understanding of stochastic processes, Monte Carlo simulation, and time series analysis; familiarity with derivative pricing, valuation and risk metrics (e.g. VaR, ES, sensitivities) is highly welcome. Practical ...

products. Core Outcomes: Development and validation of advanced computational models using first-principles and mesoscale simulation methods (DFT, phonon calculations, lattice dynamics, kinetic Monte Carlo). Rigorous comparison of simulation results with experimental data. Actionable insights to guide process optimization and solid-form selection. Computational Model … Development Develop, optimize, and execute integrated computational simulations First-principles methods: Density Functional Theory (DFT), phonon calculations, lattice dynamics Mesoscale models: Kinetic Monte Carlo (kMC) Build models addressing both intrinsic crystal stability and process-condition stability Ensure reproducible computational environments, including code, documentation, and configuration files. ...

predictive modelling, machine learning, and probability theory. Ideally this would be within sports or gaming/betting industries. Understanding of techniques such as Monte Carlo simulation, Bayesian modelling, GLMs, mixed effects models, time series forecasting etc Strong programming ability, preferably in Python SQL and relational databases ...

professionals who enjoy numerical methods, simulations, optimization, and exact problem-solving . Example Problem Types Numerical integration with fixed boundary conditions Deterministic Monte Carlo simulations (fixed seeds) Combinatorial or graph enumeration Optimization problems with a unique global optimum Physics or engineering simulations with fully specified parameters ...

ideal for professionals who enjoy numerical methods, simulations, optimization, and exact problem-solving. Example Problem Types Numerical integration with fixed boundary conditions Deterministic Monte Carlo simulations (fixed seeds) Combinatorial or graph enumeration Optimization problems with a unique global optimum Physics or engineering simulations with fully specified ...

ideal for professionals who enjoy numerical methods, simulations, optimization, and exact problem-solving. Example Problem Types Numerical integration with fixed boundary conditions Deterministic Monte Carlo simulations (fixed seeds) Combinatorial or graph enumeration Optimization problems with a unique global optimum Physics or engineering simulations with fully specified ...

ideal for professionals who enjoy numerical methods, simulations, optimization, and exact problem-solving. Example Problem Types Numerical integration with fixed boundary conditions Deterministic Monte Carlo simulations (fixed seeds) Combinatorial or graph enumeration Optimization problems with a unique global optimum Physics or engineering simulations with fully specified ...

ideal for professionals who enjoy numerical methods, simulations, optimization, and exact problem-solving. Example Problem Types Numerical integration with fixed boundary conditions Deterministic Monte Carlo simulations (fixed seeds) Combinatorial or graph enumeration Optimization problems with a unique global optimum Physics or engineering simulations with fully specified ...

ideal for professionals who enjoy numerical methods, simulations, optimization, and exact problem-solving. Example Problem Types Numerical integration with fixed boundary conditions Deterministic Monte Carlo simulations (fixed seeds) Combinatorial or graph enumeration Optimization problems with a unique global optimum Physics or engineering simulations with fully specified ...

ideal for professionals who enjoy numerical methods, simulations, optimization, and exact problem-solving. Example Problem Types Numerical integration with fixed boundary conditions Deterministic Monte Carlo simulations (fixed seeds) Combinatorial or graph enumeration Optimization problems with a unique global optimum Physics or engineering simulations with fully specified ...

ideal for professionals who enjoy numerical methods, simulations, optimization, and exact problem-solving. Example Problem Types Numerical integration with fixed boundary conditions Deterministic Monte Carlo simulations (fixed seeds) Combinatorial or graph enumeration Optimization problems with a unique global optimum Physics or engineering simulations with fully specified ...

ideal for professionals who enjoy numerical methods, simulations, optimization, and exact problem-solving. Example Problem Types Numerical integration with fixed boundary conditions Deterministic Monte Carlo simulations (fixed seeds) Combinatorial or graph enumeration Optimization problems with a unique global optimum Physics or engineering simulations with fully specified ...

ideal for professionals who enjoy numerical methods, simulations, optimization, and exact problem-solving. Example Problem Types Numerical integration with fixed boundary conditions Deterministic Monte Carlo simulations (fixed seeds) Combinatorial or graph enumeration Optimization problems with a unique global optimum Physics or engineering simulations with fully specified ...

ideal for professionals who enjoy numerical methods, simulations, optimization, and exact problem-solving. Example Problem Types Numerical integration with fixed boundary conditions Deterministic Monte Carlo simulations (fixed seeds) Combinatorial or graph enumeration Optimization problems with a unique global optimum Physics or engineering simulations with fully specified ...

ideal for professionals who enjoy numerical methods, simulations, optimization, and exact problem-solving. Example Problem Types Numerical integration with fixed boundary conditions Deterministic Monte Carlo simulations (fixed seeds) Combinatorial or graph enumeration Optimization problems with a unique global optimum Physics or engineering simulations with fully specified ...

ideal for professionals who enjoy numerical methods, simulations, optimization, and exact problem-solving. Example Problem Types Numerical integration with fixed boundary conditions Deterministic Monte Carlo simulations (fixed seeds) Combinatorial or graph enumeration Optimization problems with a unique global optimum Physics or engineering simulations with fully specified ...

ideal for professionals who enjoy numerical methods, simulations, optimization, and exact problem-solving. Example Problem Types Numerical integration with fixed boundary conditions Deterministic Monte Carlo simulations (fixed seeds) Combinatorial or graph enumeration Optimization problems with a unique global optimum Physics or engineering simulations with fully specified ...

ideal for professionals who enjoy numerical methods, simulations, optimization, and exact problem-solving. Example Problem Types Numerical integration with fixed boundary conditions Deterministic Monte Carlo simulations (fixed seeds) Combinatorial or graph enumeration Optimization problems with a unique global optimum Physics or engineering simulations with fully specified ...

ideal for professionals who enjoy numerical methods, simulations, optimization, and exact problem-solving. Example Problem Types Numerical integration with fixed boundary conditions Deterministic Monte Carlo simulations (fixed seeds) Combinatorial or graph enumeration Optimization problems with a unique global optimum Physics or engineering simulations with fully specified ...

ideal for professionals who enjoy numerical methods, simulations, optimization, and exact problem-solving. Example Problem Types Numerical integration with fixed boundary conditions Deterministic Monte Carlo simulations (fixed seeds) Combinatorial or graph enumeration Optimization problems with a unique global optimum Physics or engineering simulations with fully specified ...