16 of 16 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 ...

Awareness: Familiarity or hands-on exposure to AI/ML integration, knowledge graphs, data mesh/data fabric architectures, and observability tooling (e.g., Monte Carlo, DataDog, OpenLineage). Strong Communication & Leadership: Excellent stakeholder engagement, requirements gathering, and technical leadership skills. Proven ability to bridge business needs ...

Spark/Databricks, dbt, Airflow/Databricks Workflows, Kafka/Kinesis, Python. Experience implementing data quality frameworks and observability (e.g., Great Expectations, Soda, Monte Carlo, Databricks DQ, BigQuery DQ, OpenLineage). Practical knowledge of catalogs/lineage tools (e.g., Collibra, Alation, Purview, DataHub, Atlan). Understanding ...

Spark/Databricks, dbt, Airflow/Databricks Workflows, Kafka/Kinesis, Python. Experience implementing data quality frameworks and observability (e.g., Great Expectations, Soda, Monte Carlo, Databricks DQ, BigQuery DQ, OpenLineage). Practical knowledge of catalogs/lineage tools (e.g., Collibra, Alation, Purview, DataHub, Atlan). Understanding ...

SLAs, backfills, and cost-aware performance tuning. Proactive data quality: Implement unit/integration tests, anomaly detection, and monitoring (e.g Great Expectations/Monte Carlo/Bigeye) to catch metric drift and upstream integration issues before they reach users. Integration health visibility: Build dashboards/alerts ...

they reached leadership" "I led the server-side tracking migration that solved our attribution problems" Bonus Points For: Experience with data observability tools (Monte Carlo, Great Expectations, dbt tests) Background in analytics engineering or data reliability engineering Track record in high-growth e-commerce (sleep, wellness ...

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 ...

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 ...

behaviors, weapon effects, electronic effects, command and control, and others. Partner with Operations Analysis team members to deliver simulations capabilities that enable efficient Monte Carlo and Design of Experiments analysis. Partner with capability teams like Mission Autonomy to deliver simulation capabilities to help accelerate development. Work ...

behaviors, weapon effects, electronic effects, command and control, and others. Partner with Operations Analysis team members to deliver simulations capabilities that enable efficient Monte Carlo and Design of Experiments analysis. Partner with capability teams like Mission Autonomy to deliver simulation capabilities to help accelerate development. Work ...

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 ...

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 ...