19 of 19 Remote Monte Carlo Method Jobs

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 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 ❯

projects Strong proficiency in Primavera P6 and MS Project Solid understanding of project management principles and lifecycle planning Experience with earned value management and risk analysis tools (e.g., Monte Carlo) Ability to challenge and support project teams on resource and schedule accuracy Qualifications: Degree in Project Management, Business, or related discipline (or equivalent experience) Desirable: APM More ❯

projects Strong proficiency in Primavera P6 and MS Project Solid understanding of project management principles and lifecycle planning Experience with earned value management and risk analysis tools (e.g., Monte Carlo) Ability to challenge and support project teams on resource and schedule accuracy Qualifications: Degree in Project Management, Business, or related discipline (or equivalent experience) Desirable: APM More ❯