17 of 17 Monte Carlo Method Jobs

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

FXD) e. Credit Derivatives f. Equities and Equity Derivatives g. Commodities and Commodity Derivatives. Candidates with experience in the Market Risk area with knowledge of FRTB, VaR (Parametric, Monte Carlo, Historical simulation), Back Testing, Stress testing, Sensitivities and Scenario analysis will be considered. Knowledge of market data providers. Hands on experience massaging or analyzing data using 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 ❯

in languages such as Python or Java.Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka, Delta Lake, Iceberg, Arrow, Data Fusion).Familiarity with data governance tooling such as Monte Carlo, Atlan.Excellent problem-solving and analytical skills.Strong communication and interpersonal skills.Ability to work collaboratively in a team environment. More ❯

DataOps processes for the continuous deployment of UCDAs to production environments • Data Science machine learning (MLOps) model lifecycle • Worked with modern lakehouse and data management platforms – e.g.Databricks, Atlan, Monte Carlo What you’ll get in return: At easyJet, we pride ourselves on a vibrant and inclusive workplace culture that supports and rewards innovation and excellence. We More ❯

Develop and maintain Python pricing and risk libraries covering vanilla and structured options across commodities and equities. Implement and calibrate models such as Black-Scholes, Heston, SABR, and Monte Carlo-based approaches for structured instruments (APOs, CSOs, ULDs, P1X). Design and maintain volatility surface calibration workflows, including interpolation, extrapolation, and smoothing. Collaborate with quantitative researchers More ❯

Python, FastAPI Frontend: Vue.js Cloud: AWS Databases: Elasticsearch & Postgres And more... This role offers exciting opportunities to dive into various areas, including Natural Language Processing, Random Forest and Monte Carlo Simulations, Classification, Big Data ETL Pipelines, High Volume Event Processing, Predictive Analysis, CI/CD Cloud Ops, Mentoring, UX Design, Data Visualization, and Build Management Systems More ❯

teams on their plans and resource assignment/utilization Experience of working within an engineering or IT development environment Knowledge or experience of risk analysis software (eg for Monte Carlo analysis) Competent user of MS Office suite (Word & Excel, Primavera P6 and MS Projects) Education and Qualifications Essential: Degree or equivalent in a Project/Business More ❯

Random Processes Analysis, and Communications and Information Theory. Working knowledge of MATLAB for DSP using related toolboxes, background with Radar Processing, DSP for mitigating/processing RF effects, Monte Carlo analysis or Phased Array/Beam Forming is a plus. Skills and Experience: Experience in Python Experience with SmallSats and CubeSats development Hardware Prototype Development, "FlatSat More ❯