25 of 25 Monte Carlo Method Jobs

ability to communicate complex technical concepts to non-technical stakeholders. Excellent problem-solving, organizational, and collaborative skills. Strong background in statistical inference, regression analysis, stochastic processes, optimization, and Monte Carlo simulations. Experience with SQL, PostgreSQL, or NoSQL databases for data extraction, transformation, and analysis. Preferred Qualifications: Experience with FAA systems, aviation industry operations, or NextGen projects. More ❯

JavaScript. Solid academic background in computer science, mathematical finance, statistics, or a highly quantitative field. Good understanding of probability theory and stochastic calculus. Familiarity with Numerical Analysis and Monte Carlo methods. Experience developing software, preferably in Windows or Linux environments. Proficiency in scripting using UNIX Shell (bash, etc.) and Python. Familiarity with Counterparty Credit Risk (CCR More ❯

statistical modeling techniques, including regression, time-series forecasting, boosted trees, neural networks, and reinforcement learning. Familiarity with optimization and simulation methods such as mixed-integer programming, heuristics, or Monte Carlo simulation. Proven ability to translate analytical findings into operational actions and measurable business impact. Strong collaboration and communication skills; able to work effectively with engineering, operations 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 ❯

BigQuery or Snowflake. Know how to design data warehouses, pipelines and orchestration flows. Familiar with visualization tools such as Looker or similar. Knowledge of data observability tools like Monte Carlo is a plus. Strong communication skills tailored to tech and non-tech audiences. This is what you're looking for in a job Money Over More ❯

text mining, or machine learning techniques TS/SCI clearance with a polygraph Bachelor's degree Nice If You Have: Experience with FOSS and COTS products in statistics, Monte Carlo or discrete event simulation, ETL processes, and quantitative workflow automation Experience working in Windows and Linux OS environments Ability to consult with non-technical audiences on More ❯

gather data, document assumptions, and develop Program Office Estimates and Independent Government Cost Estimates. You'll build dashboards with modern visualization tools, develop cost and risk analyses using Monte Carlo simulation sof tware such as Crystal Ball, and use data science to provide meaningful insight into the data. You will help introduce and recommend new ideas More ❯

have experience in a similar Quant focussed role within a sports betting company or other where working with sports data You have advanced mathematics and statistics knowledge including Monte Carlo simulations You have a strong understanding of databases and SQL You have strong experience in backtesting, validation and performance evaluation of quantitative models You have advanced More ❯

years of experience developing high-fidelity physics-based models and simulations Experience with model and simulation tools, such as CAD tools, Thermal Analysis, Mission Engineering, Discrete Event Simulations, Monte Carlo, and Integration Platforms, including ModelCenter and Omniverse Experience with integrating models and simulations and building of Digital Twins Experience with technical mentorship and collaboration with multi More ❯

Joint Warfare Analysis Center and other Department of Defense and Intelligence Community stakeholders. Details Designing and executing simulation experiments that minimize compute time and maximize actionable insights Applying Monte Carlo methods, statistical techniques, and operational research tools to real-world scenarios Modeling systems and operations using Python, R, VBA, or MATLAB (preferred) Defining data requirements, analyzing More ❯

simulation products. Development of spacecraft autonomy tools for dynamic space operations Test process development and execution. Define automated fault detection and responses. Provide hardware-in-the-loop and monte-carlo simulation capabilities. REQUIRED QUALIFICATIONS Strong engineering background from industry or school, ideally in areas/fields such as Astrodynamics, Aerospace Engineering, Dynamics and Controls Engineering, Computer 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 ❯

Strong exprerience with Databricks - Experience of 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 will grow - Ideally skills More ❯

GitHub Actions preferred). Excellent communicator - able to work closely with technical and business stakeholders. Nice-to-haves: Experience with Kubernetes , Airflow/Prefect , or data observability tools (Monte Carlo, Great Expectations). Exposure to data cataloguing tools (Amundsen, OpenMetadata). Package & Benefits: Salary up to £95,000 , depending on experience. Hybrid working - 3 days per More ❯

Preferred Qualifications for both Principal AND Sr. Principal Computational Physicist: PhD in STEM related field. 2+ years of relevant technical experience. Experience modeling electron-phonon interactions. Experience with Monte Carlo simulations of thin film growth and ordering. Degree in physics, materials science, electrical engineering, or related STEM field. Active U.S. Government security clearance. Primary Level Salary More ❯

number of software code bases (python, matlab, etc) to perform analysis tasks Experience leading orbital design choices such as launch window analysis, spacecraft formation flying, statistical analysis and Monte Carlo simulations, error budgets, and lighting condition analysis. Required: Must be eligible to obtain a Top Secret clearance with SCI access. Bachelor's degree in Aerospace Engineering More ❯

Bayesian and probabilistic models for real-world challenges. Develop reusable predictive features and inference tools optimised for performance. Apply techniques like Bayesian neural networks, variation inference, Markov Chain Monte Carlo, Gaussian processes, and diffusion models. Collaborate across teams to integrate models into production systems. Analyse data rigorously to validate models and provide actionable insights. Requirements Experience More ❯

and business processes. Monitor adherence to data management best practices across the organisation. Data Quality & Reliability Monitor and ensure data accuracy, completeness, timeliness, and consistency across systems. Utilise Monte Carlo for data observability, proactively detecting and resolving data quality issues. Work with data engineering teams to establish validation, profiling, and anomaly detection frameworks. Stakeholder Engagement & Support More ❯

primary coordinator and integrator of all schedules for the construction, fit-out, occupancy and Time impact analyses (TIAs). The project scheduler should be familiar with schedule analysis, Monte Carlo simulations, and forecasting. This position description provides a baseline of areas. However, this list does not restrict performance requested on other related assignments. The Project Scheduler More ❯

csh) Familiarity with basic computer networking concepts (UDP, TCP/IP, network boundaries, firewalls) Knowledge of C2BMC suite architecture and scripted automation tools (e.g., Ansible, Kubernetes) Experience with Monte Carlo analysis, statistical regression, and other analytical techniques Functional familiarity with modeling languages such as SysML or UML Strong math and physics foundation, including proficiency in probability More ❯

and tertiary critical paths. Working knowledge of schedule management best practices such as critical path methodology, schedule quality and execution metrics. Requires proficiency with schedule risk analysis, including Monte Carlo simulation and knowledge of the DCMA 14-Point Assessment. Familiarity with systems engineering practices and space systems development preferred. Must be proficient using MS Office Suite More ❯

Risk Management Supplier & Partner Relationship Management Emerging Technology Evaluation and Adoption Manage HPC and Platform Engineering Service DeliveryEssential attributes for success: Knowledge of Engineering applications (e.g. CFD, FEA, Monte Carlo, high end visualisation, etc.) and the demands they place on HPC/IT infrastructure. Experience working in a high end HPC/analytical tools environment.In depth More ❯

field plus 5-10 years of direct experience required, or an MS with 3-7 years' experience. Proficiency with criticality safety codes and software tools, such as MCNP (Monte Carlo N-Particle), SCALE, KENO, or similar computational tools used for radiation transport and criticality safety analysis. Experience in the application of DOE rules, guides, orders, standards More ❯

planned progress and develop reports for various levels of leadership at various meetings using Standard schedule analysis methodologies (e.g. critical path analysis, variance analysis, Schedule Risk Assessment (SRA), Monte Carlo etc.). Deliver a monthly summary of this work output. Develop graphical depictions of summary-level IMS data for use in leadership briefings in accordance with More ❯

About Lendable Lendable is on a mission to make consumer finance amazing: faster, cheaper, and friendlier. We're building one of the world's leading fintech companies and are off to a strong start: One of the UK's newest More ❯