1 to 25 of 41 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 ❯

team members, understanding context and challenging business ideas. Data Scientists use diverse techniques - frequentist and Bayesian statistics, machine learning, exploratory and explanatory data analysis, causal inference, data visualization, monte carlo modelling, econometric analysis, etc. Such broad requirements call for the ability to learn quickly, work efficiently with peers and communicate data clearly and effectively. Games Data … use visualization techniques for communicating data and analysis Experience of using any of the following to answer business or scientific questions -statistics, mathematics, machine learning, econometrics, causal techniques, monte carlo modelling, etc. R/Python experience Knowledge and experience of SQL Ability to work a minimum of 3 days a week in our central london office. 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 ❯

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 ❯

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 ❯

power, etc). Advanced degree (MSc/PhD) in Maths, Physics, Financial Engineering, or related field. Deep understanding of option pricing theory (Black-Scholes, local/stochastic volatility, Monte Carlo). Expert Python developer with strong numerical and vectorized coding skills (NumPy, SciPy, Pandas). Experience building and calibrating volatility surfaces and handling risk measures (Greeks More ❯

power, etc). Advanced degree (MSc/PhD) in Maths, Physics, Financial Engineering, or related field. Deep understanding of option pricing theory (Black-Scholes, local/stochastic volatility, Monte Carlo). Expert Python developer with strong numerical and vectorized coding skills (NumPy, SciPy, Pandas). Experience building and calibrating volatility surfaces and handling risk measures (Greeks More ❯

Analysis & Manipulation (including Pandas, Matplotlib, Seaborn, NumPy, statistical analysis, general data processing, visualization libraries) Database Management (SQL, NoSQL, SQLite, data storage Algorithms & Mathematics Algorithms (General and specific like Monte Carlo Tree Search (MCTS), A* pathfinding, Sudoku solving, Collatz sequence, optimization, combinatorial problems) Software Engineering Practices & Tools Version Control (Git/GitHub) Coding Best Practices: A solid 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 ❯

would enable companies in the entertainment industry to significantly increase profit margins. You'll use a raft of different techniques from timeseries analysis to bayesian statistics, reinforcement learning & Monte Carlo Simulations. Your Experience : You'll likely come from a strong quantitative degree background in Science or Maths and have worked 2-4 years as a Data 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 ❯

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 ❯

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 ❯

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 ❯

Propagate satellite orbits using TLEs and numerical methods; estimate orbital parameters from GPS data Develop and implement optimization algorithms, leveraging techniques such as recursion, constraint solving, simulated annealing, Monte Carlo methods, Kalman filters, and least squares estimation Integrate with internal and third-party services via APIs, utilizing RPC protocols, JSON, XML, and PostgreSQL Build and maintain More ❯

Propagate satellite orbits using TLEs and numerical methods; estimate orbital parameters from GPS data Develop and implement optimization algorithms, leveraging techniques such as recursion, constraint solving, simulated annealing, Monte Carlo methods, Kalman filters, and least squares estimation Integrate with internal and third-party services via APIs, utilizing HTTP, RPC protocols, JSON, XML, and PostgreSQL Build and More ❯

Propagate satellite orbits using TLEs and numerical methods; estimate orbital parameters from GPS data Develop and implement optimization algorithms, leveraging techniques such as recursion, constraint solving, simulated annealing, Monte Carlo methods, Kalman filters, and least squares estimation Integrate with internal and third-party services via APIs, utilizing RPC protocols, JSON, XML, and PostgreSQL Build and maintain More ❯

Propagate satellite orbits using TLEs and numerical methods; estimate orbital parameters from GPS data Develop and implement optimization algorithms, leveraging techniques such as recursion, constraint solving, simulated annealing, Monte Carlo methods, Kalman filters, and least squares estimation Integrate with internal and third-party services via APIs, utilizing HTTP, RPC protocols, JSON, XML, and PostgreSQL Build and More ❯