1 to 25 of 36 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 ...

About Monte Carlo Monte Carlo is the agent trust platform that unifies data and agent observability to monitor, troubleshoot, and improve production AI systems. As enterprises prepare to deploy thousands of agents across business-critical use cases, Monte Carlo … support them along this AI transformation, from human-guided agents to fully autonomous operations. Founded in 2019 and backed by leading investors, Monte Carlo empowers data and AI teams to ship trusted AI at scale. Learn more at montecarlodata.com. About the role: Our Strategic Sales team ...

Implement and support quantitative models using a combination of mathematical and computer science techniques. Develop pricing and valuation models using numerical methods, including Monte Carlo simulations and PDE solvers. Build high-quality software using C++ and Python, alongside technologies such as C#/.NET, Java … financial products. Strong communication skills with the ability to work effectively with both technical and business stakeholders. Nice to have Desirable Technical Experience Monte Carlo modelling Partial Differential Equation (PDE) solvers Numerical analysis Quantitative pricing and risk analytics Hardware acceleration kdb/time-series market data ...

budget or schedule. Bite ingests the whole tender pack, auto-builds the risk register for the team to review, and prices it with Monte Carlo simulation reconciled against a reference class of similar completed projects. Through delivery, an AI auditor tracks risks and treatments, and every … archives into structured, citable data the risk model can trust. Take the risk model from research to production with Phil: reference class forecasting, Monte Carlo pricing, and the evals proving accuracy. Hire and grow the engineering team, and set the bar every subsequent hire is measured ...

stakeholder management skills. Desirable Experience Experience supporting data quality transformation/change programmes. Experience with data quality/observability tools such as Monte Carlo (preferred), Collibra, Informatica, Alation, Ataccama, Great Expectations, Soda, Talend, Dataiku or IBM InfoSphere; Monte Carlo is not essential. ...

stages of the development life cycle (prototype to flight ready software). Analysis related work will include performance analysis, such covariance analysis, Monte Carlo analysis, and post-flight test data analysis. Testing will involve test driven development, integration and test support, and defect resolution Qualifications Deep … MATLAB/Simulink familiar with test driven development and Agile development practices Background in navigation performance analysis methodologies such as covariance analysis and Monte Carlo analysis Experience with navigation related sensors IMUs, GNSS, vision, etc. Security clearance is required US Citizen> Secret or above. ...

with data mesh, data product operating models, or modern data governance frameworks. Exposure to Data Quality and Observability platforms such as Great Expectations, Monte Carlo, or Soda. Industry experience within Financial Services, Energy & Utilities, Healthcare, Manufacturing, or Retail. Cloud provider and/or platform certifications across ...

they operate Big data technologies, with expertise in tools & platforms such as Airflow, dbt, Kafka, Databricks and data observability & catalogue) solutions (e.g. Monte Carlo, Atlan, Datahub) Cloud Platform proficiency: familiarity with AWS, GCP, or Microsoft Azure, with hands‐on experience building scalable, reliable data solutions ...

Python skills coupled with experience working in modern cloud-based data environments. Hands-on experience with data observability tools such as Grafana, Monte Carlo, or Acceldata, and data governance/quality platforms like Informatica, Collibra or Microsoft Purview is highly desirable. Experience within the Azure ecosystem ...

Python skills and experience working in modern cloud-based data environments. Hands-on experience with data observability tools such as Grafana, Monte Carlo, or Acceldata, and data governance/quality platforms like Informatica, Collibra or Microsoft Purview is highly desirable. Experience within the Azure ecosystem (data ...

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 ...

each customer use case. This will unlock faster, more reliable insights across our customer-facing products. With the growing adoption of our Monte Carlo simulation engine, we can understand the impact of changes to our algorithmic underwriting before they’re released, as well as stress-test ...

Staff Data Engineer or in an equivalent technical leadership role in data quality, observability, or governance. Deep knowledge of data observability frameworks (Monte Carlo, Soda, or equivalent) and data validation tools (Great Expectations, DBT tests, etc.). Deep understanding of data-as-a-product principles ...

experience developing models at production scale for soccer or sports betting Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods Minimum of 3+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve ...

navigate differing stakeholder points of view. Understanding of investment models, assets and systems of assets, including Optimisation (linear and non-linear), Prioritisation and Monte Carlo analysis. Experience of working for a large asset owning company, or on projects for such companies, would be advantageous. Predictive ...

Data Engineering: Experience building and maintaining production data pipelines, or working with AWS services such as Lambda, EventBridge and DynamoDB. Simulation: Experience with Monte Carlo methods or probabilistic simulation. AI Integration: Comfortable using AI-assisted coding tools such as Claude Code or Cursor as part ...

client sites (T&S paid) Nice-to-have Skills Experience in more than one of simulation, optimisation, statistical forecasting or machine learning Monte Carlo simulation, Bayesian methods or uncertainty quantification Experience building APIs or back-end services in Python (e.g. FastAPI) Experience building front ends ...

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 ...

curves, volatility surfaces, and interest rate volatility cubes (live/intraday data experience preferred) Experience in developing risk management tools such as VaR, Monte Carlo, scenario analysis and P&L is preferred Why TS Imagine/Benefits Please note : This role requires applicants to be based ...

flows. You will bring expert transistor‐level design of precision analog blocks (references, DACs, regulators, switches, clock distribution) taken through PVT and Monte‐Carlo, layout and silicon validation, together with expert Verilog‐A and Verilog‐AMS and strong real‐number modelling. You’d be a great ...

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 ...

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 ...

implementing logistics, routing or optimisation algorithms in Python Strong mathematical or statistical knowledge, with excellent problem-solving skills Experience with algorithm design, Monte Carlo methods, probabilistic models or stochastic optimisation Experience with logistics or route optimisation problems Experience with EF Core and relational databases such ...

currency), inflation curves, volatility surfaces, and interest rate volatility cubes (preferably live or intraday) Experience in developing risk management tools such as VaR, Monte Carlo, scenario analysis and P&L is preferred Why TS Imagine/Benefits Please note : This role requires applicants to be based ...

JPMorgan Chase & Co. in London seeks an Associate or Vice President to join the Quantitative Trading & Research team. The role focuses on developing analytics for the Credit Portfolio Group and building production-grade, scalable software ...