11 of 11 Monte Carlo Method Jobs

Title: Monte Carlo Implementation SME/Consultant Location: London (hybrid - 3 days onsite per week) Salary/Rate: £(Apply online only) per day inside IR35 Start Date: October Job Type: Initial contract until February 2027, with scope to extend Company Introduction We have an exciting opportunity … available with one of our sector-leading consultancy clients! They are currently looking for a skilled Monte Carlo Implementation SME/Consultant to join their global asset manager client on a hybrid basis. Job Responsibilities/Objectives The organisation is currently implementing Monte Carlo ...

Cortex Analyst; build internal tools for ops, finance, and service teams First 90 Days Audit Domo pipelines and produce a source inventory - ingestion method, refresh schedule, and downstream consumers for every source Stand up Snowflake three-layer architecture, RBAC, and dbt project scaffold with dev/prod environments Configure … small team can maintain Pipeline monitoring and observability - SLA definition, drift alerting, and incident response before business users are impacted; experience with Elementary, Monte Carlo, or dbt's built-in freshness and source monitors preferred Python for custom ingestion - SFTP, REST APIs, email-delivered files Data ...

Python scripting Experience with data profiling and data visualization tools (Tableau, Microstrategy) Hands-on with data cataloguing, lineage, and DQ platforms (Collibra, Monte Carlo) Experience implementing DQ rules, dimensions, thresholds/SLOs, and metadata/MDM Experience applying GDPR and ethical data handling to data management ...

years of experience utilizing project management/scheduling tool software suites: Microsoft Project; or KIDASA Milestone Professional; or Oracle Primavera; or Barbecana Full Monte; and software using the Monte Carlo simulation tools Have regularly and on a recurring basis participated as an active member ...

Data Engineering, Data Governance, or Data Management Hands-on experience with Data Observability Experience with at least one data observability tool: Acceldata, Datadog, Monte Carlo, DQLab, or Validio Ability to analyse and produce documentation Strong communication skills and ability to influence technical and business stakeholders strong ...

equivalent seniority on the buy side. * Deep FX and rates derivatives experience: local- and stochastic-vol models, term-structure models, PDE and Monte Carlo methods, calibration, and risk. * Production C++ at library scale, plus Python for research, tooling, and orchestration. Evidence of having shipped a modern ...

Experience Strong background in safety-critical verification and validation. Understanding of advanced software verification and testing methodologies, such as automated testing, fuzz testing, Monte Carlo simulation, fault injection, or other techniques used to validate the robustness and safety of complex embedded systems. Experience working within regulated ...

control system topologies, and support gain-tuning methodologies across system architectures. Support performance engineering through requirement derivation, margin analysis, performance trade studies, and Monte Carlo, sensitivity, and parametric analyses. Apply physics-based modeling to mechanical, thermal, aerodynamic, ballistics, propulsion, and actuation systems. Collaborate with multidisciplinary ...

based verification and validation. You will also produce traceable certification evidence and apply advanced techniques including automated testing, fuzz testing, fault injection and Monte Carlo simulation. This role would suit someone with software V&V experience gained within aerospace, defence, automotive, rail, medical devices or another ...

system performance, verification of algorithms and algorithm requirements, and analysis of flight dynamics and trajectory dispersions. Time domain simulations, covariance-based methods, and Monte Carlo dispersed analysis will be used to assess and tune system performance and to document analysis results. Qualifications Deep knowledge of MATLAB ...

like GPS and Galileo) signal re-acquisition time at various points in boost phase, based on previously provided ephemeris, time and position data Monte Carlo simulations of INS (Inertial Navigation System) only and GNSS only performance across various conditions to assess impact of GNSS signal loss ...