7 of 7 Remote Permanent 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 ...

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 ...