19 of 19 Monte Carlo Method Jobs

intersection of financial modelling and modern engineering, supporting the development of platforms used for forward-looking financial analysis, including discounted cashflow projections and Monte Carlo simulations. This is a hands-on leadership role, splitting your time between full-stack engineering and leading a team of senior … full-stack development, alongside TypeScript, React and Azure• Contributing to platforms supporting financial modelling and forward-looking analytics including discounted cashflow projections and Monte Carlo simulations• Championing AI-assisted and agentic engineering workflows, embedding these into development practices• Running Agile ceremonies including stand-ups, sprint planning ...

measures and compliance frameworks. Experience building data solutions with AI tools like Github Copilot. Experience with Data Quality Tools such as dbt Test, Monte Carlo, SODA. Excellent communication skills with ability to collaborate across business and technology teams. Nice to Have: SnowPro Core/Advanced Architect … measures and compliance frameworks. Experience building data solutions with AI tools like Github Copilot. Experience with Data Quality Tools such as dbt Test, Monte Carlo, SODA. Excellent communication skills with ability to collaborate across business and technology teams. Nice to Have: SnowPro Core/Advanced Architect ...

adjustments (CVA and FVA), which are critical to the bank’s risk management and pricing strategies, and develops and maintains a large-scale Monte‐Carlo engine using advanced numerical and computational techniques, including Adjoint Analytic Differentiation (AAD). As an experienced Vice President in the Quantitative … promoted business, promoting change through state‐of‐the‐art AI and machine learning techniques. Job Responsibilities Design, develop, and enhance our large-scale Monte Carlo simulation engine used for computing Credit Valuation Adjustment (CVA) and Funding Valuation Adjustment (FVA) across the firm's derivatives portfolio. Implement ...

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 … 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 ...

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. ...

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 ...

clear SLOs/SLA, observability, reliability engineering practices, and tight integration into trading/risk platforms. Provide technical leadership and mentorship; conduct code/method reviews, establish research engineering best practices (testing, CI/CD, reproducibility), and develop team capability. Communicate complex quantitative concepts to non‐technical audiences; influence … curve building (multi‐curve frameworks), volatility surface modelling/calibration (e.g., SABR, Heston, local/stochastic volatility), and numerical methods (PDE/FDM, Monte Carlo, adjoint/automatic differentiation). Experience with market risk, time‐series/stress analytics, model risk governance, and regulatory expectations ...

PDex, NDH, and payer-to-payer exchange requirements. Experience with Confluent (Managed Connectors/Kafka), Apache Flink, or similar streaming frameworks. Exposure to Monte Carlo Data Observability or similar data quality/lineage/monitoring platforms. Familiarity with modern data lakehouse and query engines such ...

varying formats and resolutions. Model Serving and Deployment Build serving infrastructure for pre-trained LPMs, supporting both zero‐shot inference and uncertainty quantification (Monte Carlo Dropout). Design and implement model packaging pipelines for customer deployment. Models must run reliably in customer environments with fine‐tuning ...

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 ...

research organisation Nice to Have Knowledge of NMR spectroscopy and associated data processing pipelines Familiarity with simulation techniques such as molecular dynamics or Monte Carlo approaches, as well as an understanding of statistical mechanics and complex systems Ability to use HPC and/or cloud computing ...

statistical and mathematical modelling. Ideally holding a PhD (or equivalent experience) in Physics, Mathematics, Statistics or a related discipline Working knowledge of Monte Carlo simulations, Bayesian methodologies or stochastic modelling Proficient in Python as your primary modelling tool; familiarity with PySpark, Hive, Docker or Kubernetes ...

after skill sets. Key words: Data Scientist, Algorithm Developer, Equity Research, Investments, Quantitative Research, Bayesian Statistics, Mathematics, Computer Science, Analytical Algorithms, Python. C++, Monte Carlo. ...

their translation to engineering units. Management of KPPs including calculating KPP thresholds based on an assessment of technical risk to the project and Monte Carlo simulation, and the assessment of change impacts at the system level including rebalancing of budgets or accessing reserve. Establish the process ...

computational techniques Apply high‐performance computing methods, including hardware acceleration and low‐level optimisation Develop pricing models using numerical techniques such as Monte Carlo methods and partial differential equation (PDE) solvers Work with technologies including C++, CUDA, Python, and adjoint algorithmic differentiation (AAD) Contribute ...

digital engineering practices Experience working in integration labs, test facilities, or field environments supporting system integration and/or verification Experience using Monte Carlo simulations to model system performance, analyze results, and inform test strategies Experience diagnosing root causes of system failures, implementing corrective actions ...

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 ...

GNSS fusion Attitude estimation, quaternions, DCM Dead reckoning, ZUPT, or inertial estimation techniques CMSIS/CMSIS-DSP FreeRTOS STM32CubeIDE/CubeMX HIL testing, Monte Carlo simulation, or recorded dataset replay Experience within navigation, aerospace, defence, robotics, autonomy, or advanced sensing environments If you are looking ...

About the Role As a Senior Software Engineer (Data), you’ll help shape and scale our data infrastructure, making analytics faster, more reliable, and cost‐efficient. You’ll work with AWS, Snowflake, Python, and Terraform ...