1 to 25 of 28 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 ❯

technologies. Profile Strong programming experience in Python, C++, or C#; knowledge of NumPy, Pandas, and QuantLib advantageous. Solid understanding of mathematics, statistics, and numerical methods - including stochastic calculus, Monte Carlo simulation, and optimisation. Familiarity with derivatives pricing, risk metrics, and financial instruments across asset classes. Experience building low-latency systems and optimising performance for computational workloads. 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 ❯

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 ❯

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 ❯

required: 3+ years' experience within 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 The company offer some great More ❯

required: 3+ years' experience within 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 The company offer some great More ❯

optimisation initiatives using advanced modelling techniques (e.g., AAD, Machine Learning). Candidate Profile Essential Skills & Experience: Strong programming skills in C++. Solid understanding of numerical methods such as Monte Carlo simulations and optimisation algorithms. Experience with: Distributed computing and inter-process communication Multi-threading programming Microsoft Office, VC++, VBA SQL databases (Access, Oracle) Web technologies (XML More ❯

optimisation initiatives using advanced modelling techniques (e.g., AAD, Machine Learning). Candidate Profile Essential Skills & Experience: Strong programming skills in C++. Solid understanding of numerical methods such as Monte Carlo simulations and optimisation algorithms. Experience with: Distributed computing and inter-process communication Multi-threading programming Microsoft Office, VC++, VBA SQL databases (Access, Oracle) Web technologies (XML 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 ❯

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 implementing Infrastructure as Code (Terraform) and 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 implementing Infrastructure as Code (Terraform) and More ❯

and data governance (Collibra, Alation, or Purview). Proven ability to troubleshoot, optimize, and deliver scalable solutions. Preferred Experience with dbt, Kafka, or data quality tools (Great Expectations, Monte Carlo). Snowflake certification (SnowPro Core or Advanced). Background in regulated industries such as healthcare or insurance. Soft Skills Strong analytical and communication abilities. Collaborative, proactive More ❯

statistical techniques to solve complex business problems, using a blend of large structured and unstructured datasets Experience applying and interpreting various forecasting techniques, including ML approaches (e.g. SARIMA, Monte Carlo, xgboost, ANN) Highly proficient in Python and SQL Proven track record of taking initiative and working independently A flexible attitude to solving problems Nice to Have More ❯

statistical techniques to solve complex business problems, using a blend of large structured and unstructured datasets Experience applying and interpreting various forecasting techniques, including ML approaches (e.g. SARIMA, Monte Carlo, xgboost, ANN) Highly proficient in Python and SQL Proven track record of taking initiative and working independently A flexible attitude to solving problems Nice to Have More ❯

in languages such as Python or Java.Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka, Delta Lake, Iceberg, Arrow, Data Fusion).Familiarity with data governance tooling such as Monte Carlo, Atlan.Excellent problem-solving and analytical skills.Strong communication and interpersonal skills.Ability to work collaboratively in a team environment. More ❯

designing, building, and scaling data platforms in production environments. Hands-on experience with big data technologies such as Airflow, DBT, Databricks, and data catalogue/observability tools (e.g. Monte Carlo, Atlan, Datahub). Knowledge of cloud infrastructure (AWS or GCP) - including services such as S3, RDS, EMR, ECS, IAM. Experience with DevOps tooling, particularly Terraform and More ❯

designing, building, and scaling data platforms in production environments. Hands-on experience with big data technologies such as Airflow, DBT, Databricks, and data catalogue/observability tools (e.g. Monte Carlo, Atlan, Datahub). Knowledge of cloud infrastructure (AWS or GCP) - including services such as S3, RDS, EMR, ECS, IAM. Experience with DevOps tooling, particularly Terraform and More ❯

with data protection standards. Create resilient data workflows and automation within Airflow, Databricks, and other modern big data ecosystems. Implement and manage data observability and cataloguing tools (e.g., Monte Carlo, Atlan, DataHub) to enhance visibility and reliability. Partner with ML engineers, analysts, and analytics engineers to understand their data needs and enable advanced data use cases. More ❯

Python, FastAPI Frontend: Vue.js Cloud: AWS Databases: Elasticsearch & Postgres And more... This role offers exciting opportunities to dive into various areas, including Natural Language Processing, Random Forest and Monte Carlo Simulations, Classification, Big Data ETL Pipelines, High Volume Event Processing, Predictive Analysis, CI/CD Cloud Ops, Mentoring, UX Design, Data Visualization, and Build Management Systems More ❯

principles as applied to aerospace analysis and modeling. Examples include stochastic process and decision theory, transform methods, computational geometry, numerical linear algebra, optimization, computational math, numerical analysis, and Monte Carlo analysis Preferred Qualifications (Desired Skills/Experience): 5+ years related work experience or an equivalent combination of education and experience 10+ years related work experience or More ❯