Paris, Île-de-France, France
With 12 years of professional experience in quantitative risk engineering, modelling socio-economic, human and natural disasters and 5 years deploying cloud based processes and data analytics solutions, I bring expert mathematical & financial modelling capacities and end-to-end skills in data engineering projects. Results oriented, with an analytical mind and an eye for details, I am a collaborative and day-one productive asset for: • Deploying and managing cloud resources on Azure, GCP or AWS, • Building ELT/ETL data ingestion pipelines and designing data models, • Engineering batch and real-time data processing workflows, • Creating effective data visualisation tools. I work daily with R, Python, SQL, PySpark & Scala, dbt, Databricks, and other modern data tools as Power BI or Airflow. I'm also trained and experienced with DevOps and agile CI/CD methods. Let us connect to discuss what I can bring to the project and the team!
Subject Matter Expert (SME) – UW, Claims & CAT, Allianz Commercial Data Office, Munich
Occasional trainings on risk management topics to professionals in the actuarial field.
With 12 years of professional experience in actuarial science and 5 years in data engineering, I bring expert mathematical & financial modelling capacities and end-to-end skills in data engineering projects. Results oriented, with an analytical mind and an eye for details, I am a collaborative and day-one productive asset for: • Deploying and managing cloud resources on Azure • Building ELT/ETL data ingestion pipelines and designing data models, • Engineering and orchestrating batch and real-time data processing workflows, • Creating effective data visualization tools. I work daily with R, Python, SQL, PySpark & Scala, dbt, Databricks, and other modern data tools as Power BI or Airflow. I'm also trained and experienced with DevOps and agile CI/CD routines. Let us connect to discuss what I can bring to the project and the team!
R&D tasks: [Dev. side] Delta lake domain creation leveraging medallion data cycle structure, full development and orchestration of actuarial logic processing pipelines powered with Databricks (PySpark, SQL) using Agile CI/CD workflow and Scrum + Azure DevOps. Data Domain Owner. [Product Owner & Business side] drafting of user stories, product backlog management, UAT/PRD testing & validation leveraging Azure DevOps. Development of CAT portfolios live monitoring dashboards with Power BI. Operational tasks: projection of the strategic plan and bi-annual financial planning for NatCAT and Man-made risks worldwide, participation in the quarterly CAT renewal processes, weekly production of the gross and net CAT risk exposure reports for underwriting, pricing, risk and finance departments, monitoring of PML risk appetite limits, production of rating agencies annual surveys, adhoc pricing & accumulation studies.