Yann Maquin

-AVA computation tools — Python development— Designed and implemented in-house tools for the computation of Additional Valuation Adjustments (AVA) in a regulatory context (prudent valuation framework). Built in Python following SOLID principles for maintainability and extensibility, and leveraging Pandas and NumPy for efficient computation on large data sets. Delivered production-grade code reviewed and consumed by the Risk teams.

- Data preparation for model validation— Contributed to data cleaning and pre-processing of large source data sets as part of the AVA model validation workstream, ensuring consistent and reliable inputs for benchmark runs and back-testing exercises.

-Iterative delivery with Risk teams— Worked closely with the Risk teams in an iterative prototype-and-validate cycle: implemented successive prototypes of AVA computation logic, presented results to Risk for review, and progressively converged towards the fully validated implementation. Translated risk requirements into clean code and arbitrated trade-offs between modelling exactness and implementation pragmatism.

-CI/CD & test automation— Industrialized the software delivery process by setting up CI/CD pipelines and extensive automated test coverage (unit, integration, regression), shortening release cycles and improving production reliability of the AVA tooling.

-Equity Clearing — Software Engineer (CCP environment)— Hands-on Python development on the Equity Clearing platform of a central clearinghouse (CCP). Designed and implemented in-house tools in Python / Pandas / NumPy to automate functional and regression testing of the clearing engine and to monitor production behaviour across daily clearing cycles — surfacing anomalies on positions, margin computations, and end-of-day processes.

-CI/CD & cloud delivery— Industrialized the software delivery process by setting up the CI/CD toolchain end-to-end: source control and branching strategy with Git, automated build and test pipelines, and deployment to AWS. Reduced release friction and improved traceability of changes reaching production.

-Quant collaboration on VaR features— Worked directly with the CCP's Quant team to validate the implementation of new VaR-related features on the margin calculation framework: aligned on model specifications, designed test cases against quant benchmarks, and drove resolution of discrepancies between quant prototypes and production implementation.

-Roadmap definition— Gathered and prioritized requirements from Product Managers, Pre-sales teams, and key client stakeholders to shape the DataHub software roadmap, translating business needs into a structured backlog of epics and user stories aligned with commercial strategy and delivery capacity.

-Agile delivery management— Led a cross-functional Scrum team of developers and QA engineers, running sprint ceremonies (planning, daily stand-ups, reviews, retrospectives) and acting as the primary point of contact between business stakeholders and the engineering team to ensure smooth, predictable delivery.

-Backlog ownership— Owned and groomed the DataHub product backlog: wrote user stories with clear acceptance criteria, defined release scope, arbitrated trade-offs between new features, technical debt, and client-specific requests, and validated deliverables against business intent.