11 of 11 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 ...

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 ...

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 ...

implementing machine learning and AI - Tooling such as Purview and Unity Catalog as well as the use of observability tools such as Monte Carlo, Fabric Monitoring and Log Analytics - Mentoring/Leading/Management experience initially with a small team but with a view that this ...

deal-breakers: Experience with distributed systems , job schedulers, or batch frameworks Working with GPUs (CUDA, ROCm, or similar) Familiarity with numerical methods , Monte Carlo, or risk systems Prior consultancy or client-facing experience About HMx Labs We’re a small, specialist shop , not a giant body ...

deal-breakers: Experience with distributed systems , job schedulers, or batch frameworks Working with GPUs (CUDA, ROCm, or similar) Familiarity with numerical methods , Monte Carlo, or risk systems Prior consultancy or client-facing experience About HMx Labs We’re a small, specialist shop , not a giant body ...

principles as applied to aerospace analysis and modeling such as transform methods, computational geometry, numerical linear algebra, optimization, computational math, numerical analysis, and Monte Carlo simulation . Understanding and experience with middleware . Experience in an Agile work environment. Typical Education & Experience : Experienced (level 3): Education ...

from Associate Researcher to Senior Consultant within 5 years Industry-leading incentives , including: Monthly lunch clubs and reward schemes Quarterly European trips (Ibiza, Monte Carlo, etc.) Annual long-haul incentive trips (Las Vegas, Miami, New York) Extensive training and mentorship Stunning London offices overlooking the Thames ...