1 to 25 of 50 Permanent Monte Carlo Method Jobs

testing, and verification of control systems and 6-DoF models and simulations. Develop, modify, maintain, and improve software simulations, tools, and scripts. Configure, conduct, and analyze 6-DoF Monte Carlo simulations. Conduct trades studies and/or sensitivity analyses related to launch vehicles and spacecraft control. Create, edit, and debug software written in MATLAB, Simulink, and … programming, pseudo inverse, etc.) including TVC and RCS/Phase plane. Analyzing system performance in the time and frequency domain (Nichols, Bode, Nyquist, Root Locus, etc.) using parametric, Monte Carlo, and statistical techniques. Proficiency modeling, simulating, and analyzing the performance of launch vehicles, spacecraft, and landers. Modeling of one or more spacecraft components/subsystems including … models into larger simulations. Programming in MATLAB, Simulink, Simscape, and C/C++. Experience performing software development, verification, and validation. Experience performing trade studies, sensitivity, and/or Monte Carlo simulation and analyses related to the control of launch vehicles and/or spacecraft. Must be detail oriented and self-motivated that can work independently taking More ❯

principles. Providing hands-on technical guidance on data design and integration to Data Engineering, BI, and Data Science teams. Driving the adoption of tools like Alation (cataloguing) and Monte Carlo (observability) to ensure data quality and lineage. What we're looking for in you (your superpowers!) We're looking for someone who is a creative problem … Lambda, etc.). Experience in Data Strategy and Data Governance Strong communication and stakeholder management skills. The Nice-to-Haves (bonus points if you have these!): Experience with Monte Carlo, Alation, or similar metadata/observability tools. Knowledge of event streaming, API integration, and MLOps . Experience in regulated, high-volume industries (gaming, finance, or e More ❯

for sports betting, with a primary focus on deriving new markets and enhancing existing offerings. Possess a deep understanding of complex statistical distributions and leverage techniques such as Monte Carlo simulations in model development. Rigorously back test and validate models to ensure their robustness, accuracy, and profitability in real-world betting scenarios. Drive and lead quantitative … impactful quantitative models in a production environment. Deep expertise in mathematical and statistical modelling, specifically applied to sports betting, including a strong understanding of complex statistical distributions and Monte Carlo simulations. Highly proficient in Python for all modelling, analysis, and data manipulation work. Strong experience in back testing, validation, and performance evaluation of quantitative models. Solid More ❯

for sports betting, with a primary focus on deriving new markets and enhancing existing offerings. Possess a deep understanding of complex statistical distributions and leverage techniques such as Monte Carlo simulations in model development. Rigorously back test and validate models to ensure their robustness, accuracy, and profitability in real-world betting scenarios. Drive and lead quantitative … impactful quantitative models in a production environment. Deep expertise in mathematical and statistical modelling, specifically applied to sports betting, including a strong understanding of complex statistical distributions and Monte Carlo simulations. Highly proficient in Python for all modelling, analysis, and data manipulation work. Strong experience in back testing, validation, and performance evaluation of quantitative models. Solid More ❯

for sports betting, with a primary focus on deriving new markets and enhancing existing offerings. Possess a deep understanding of complex statistical distributions and leverage techniques such as Monte Carlo simulations in model development. Rigorously back test and validate models to ensure their robustness, accuracy, and profitability in real-world betting scenarios. Drive and lead quantitative … impactful quantitative models in a production environment. Deep expertise in mathematical and statistical modelling, specifically applied to sports betting, including a strong understanding of complex statistical distributions and Monte Carlo simulations. Highly proficient in Python for all modelling, analysis, and data manipulation work. Strong experience in back testing, validation, and performance evaluation of quantitative models. Solid More ❯

for sports betting, with a primary focus on deriving new markets and enhancing existing offerings. Possess a deep understanding of complex statistical distributions and leverage techniques such as Monte Carlo simulations in model development. Rigorously back test and validate models to ensure their robustness, accuracy, and profitability in real-world betting scenarios. Drive and lead quantitative … impactful quantitative models in a production environment. Deep expertise in mathematical and statistical modelling, specifically applied to sports betting, including a strong understanding of complex statistical distributions and Monte Carlo simulations. Highly proficient in Python for all modelling, analysis, and data manipulation work. Strong experience in back testing, validation, and performance evaluation of quantitative models. Solid More ❯

for sports betting, with a primary focus on deriving new markets and enhancing existing offerings. Possess a deep understanding of complex statistical distributions and leverage techniques such as Monte Carlo simulations in model development. Rigorously back test and validate models to ensure their robustness, accuracy, and profitability in real-world betting scenarios. Drive and lead quantitative … impactful quantitative models in a production environment. Deep expertise in mathematical and statistical modelling, specifically applied to sports betting, including a strong understanding of complex statistical distributions and Monte Carlo simulations. Highly proficient in Python for all modelling, analysis, and data manipulation work. Strong experience in back testing, validation, and performance evaluation of quantitative models. Solid More ❯

cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code tools (e.g., Docker, Terraform, CloudFormation). ● Familiarity with data quality, data governance, and observability tools (e.g., Great Expectations, Monte Carlo).[3] ● Experience with BI and data visualization tools (e.g., Looker, Tableau, Power BI). ● Experience working with product analytics solution (Amplitude, Mixpanel) ● Experience working on More ❯

cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code tools (e.g., Docker, Terraform, CloudFormation). ● Familiarity with data quality, data governance, and observability tools (e.g., Great Expectations, Monte Carlo).[3] ● Experience with BI and data visualization tools (e.g., Looker, Tableau, Power BI). ● Experience working with product analytics solution (Amplitude, Mixpanel) ● Experience working on More ❯

FRTB, and CCAR is highly advantageous. Solid mathematical finance and advanced statistical analysis skills. Profound knowledge of probability theory and stochastic calculus. Extensive familiarity with Numerical Analysis and Monte-Carlo methods. Proven experience developing robust software for Windows and Linux environments. Excellent command of scripting using UNIX Shell (ksh, bash, etc.), Python, and VBA. Knowledge of More ❯

for near real-time metadata synchronization. Data Governance Enablement — Define RBAC, data ownership models, workflows, and certification for golden datasets. Data Quality & Observability — Integrate DQ/DO tools ( Monte Carlo, Anomalo, Soda ) to visualize trust metrics and compliance dashboards. Collaboration & Adoption — Mentor teams, document best practices, and drive adoption across engineering and business units. 🧠 What You More ❯

for near real-time metadata synchronization. Data Governance Enablement — Define RBAC, data ownership models, workflows, and certification for golden datasets. Data Quality & Observability — Integrate DQ/DO tools ( Monte Carlo, Anomalo, Soda ) to visualize trust metrics and compliance dashboards. Collaboration & Adoption — Mentor teams, document best practices, and drive adoption across engineering and business units. 🧠 What You More ❯

for near real-time metadata synchronization. Data Governance Enablement — Define RBAC, data ownership models, workflows, and certification for golden datasets. Data Quality & Observability — Integrate DQ/DO tools (Monte Carlo, Anomalo, Soda) to visualize trust metrics and compliance dashboards. Collaboration & Adoption — Mentor teams, document best practices, and drive adoption across engineering and business units. 🧠 What You More ❯

for near real-time metadata synchronization. Data Governance Enablement — Define RBAC, data ownership models, workflows, and certification for golden datasets. Data Quality & Observability — Integrate DQ/DO tools (Monte Carlo, Anomalo, Soda) to visualize trust metrics and compliance dashboards. Collaboration & Adoption — Mentor teams, document best practices, and drive adoption across engineering and business units. 🧠 What You More ❯

for near real-time metadata synchronization. Data Governance Enablement — Define RBAC, data ownership models, workflows, and certification for golden datasets. Data Quality & Observability — Integrate DQ/DO tools (Monte Carlo, Anomalo, Soda) to visualize trust metrics and compliance dashboards. Collaboration & Adoption — Mentor teams, document best practices, and drive adoption across engineering and business units. 🧠 What You More ❯

production, enabling advanced users such as ML and analytics engineers. Hands-on experience with modern data stack tools - Airflow, DBT, Databricks, and data catalogue/observability solutions like Monte Carlo, Atlan, or DataHub. Solid understanding of cloud environments (AWS or GCP), including IAM, S3, ECS, RDS, or equivalent services. Experience rolling out data governance and observability More ❯

Develop and deliver sophisticated mathematical and statistical models aimed at identifying new opportunities and refining existing market strategies. Utilise strong knowledge of statistical theory, including complex distributions and Monte Carlo techniques, to design and optimise modelling approaches. Test, validate, and benchmark models to ensure they perform reliably under a range of real-world conditions. Take ownership More ❯

Develop and deliver sophisticated mathematical and statistical models aimed at identifying new opportunities and refining existing market strategies. Utilise strong knowledge of statistical theory, including complex distributions and Monte Carlo techniques, to design and optimise modelling approaches. Test, validate, and benchmark models to ensure they perform reliably under a range of real-world conditions. Take ownership More ❯

Develop and deliver sophisticated mathematical and statistical models aimed at identifying new opportunities and refining existing market strategies. Utilise strong knowledge of statistical theory, including complex distributions and Monte Carlo techniques, to design and optimise modelling approaches. Test, validate, and benchmark models to ensure they perform reliably under a range of real-world conditions. Take ownership More ❯

Develop and deliver sophisticated mathematical and statistical models aimed at identifying new opportunities and refining existing market strategies. Utilise strong knowledge of statistical theory, including complex distributions and Monte Carlo techniques, to design and optimise modelling approaches. Test, validate, and benchmark models to ensure they perform reliably under a range of real-world conditions. Take ownership More ❯

Develop and deliver sophisticated mathematical and statistical models aimed at identifying new opportunities and refining existing market strategies. Utilise strong knowledge of statistical theory, including complex distributions and Monte Carlo techniques, to design and optimise modelling approaches. Test, validate, and benchmark models to ensure they perform reliably under a range of real-world conditions. Take ownership More ❯

and governed data solutions. Provide hands-on technical guidance on data design, modelling, and integration, ensuring alignment with architectural standards. Drive the adoption of tools such as Alation, Monte Carlo, and Airflow to improve data lineage, quality, and reliability. Ensure data security, privacy, and compliance are integral to all architecture and integration designs. Act as a More ❯

passion for data-driven problem solving, innovation, and continuous improvement. ✨ Nice-to-haves: Experience with data orchestration tools (Airflow, Prefect). Knowledge of data observability or cataloguing tools (Monte Carlo, OpenMetadata). Familiarity with large-scale consumer data or survey environments. More ❯

passion for data-driven problem solving, innovation, and continuous improvement. ✨ Nice-to-haves: Experience with data orchestration tools (Airflow, Prefect). Knowledge of data observability or cataloguing tools (Monte Carlo, OpenMetadata). Familiarity with large-scale consumer data or survey environments. More ❯

passion for data-driven problem solving, innovation, and continuous improvement. Nice-to-haves: Experience with data orchestration tools (Airflow, Prefect). Knowledge of data observability or cataloguing tools (Monte Carlo, OpenMetadata). Familiarity with large-scale consumer data or survey environments. More ❯