A hands-on educational package that takes learners from source templates to Python calculations, DATMAN/DATAIF XML, XSD validation, control checks, management reporting, and filing evidence.
source templates → raw input workbook → Python risk calculations → business controls → DATMAN / DATAIF XML → XSD validation logs → Excel control pack → management report → CSSF-style evidence pack → audit manifest
Most learners can describe regulation in theory. Far fewer can show a working regulatory reporting pipeline. This package helps students, professors, analysts, and job seekers practice the workflow employers actually care about: data intake, calculation logic, controls, XML generation, validation, evidence, and review.
A complete educational automation package with runnable scripts, source templates, generated outputs, documentation, and review evidence.
Scripts for loading data, calculating exposures and risk metrics, running controls, generating XML, validating XSD, and creating reports.
Input templates, calculation workbooks, validation outputs, reconciliation reports, approval workflow files, and business sign-off examples.
DATMAN and DATAIF sample XML, schema files, validation logs, red-flag scans, and mapping workbooks for field-level understanding.
Readable HTML/PDF reporting output that shows how technical outputs can be translated into reviewer-ready evidence.
Submission checklist, manifest, synthetic feedback examples, identifier checks, and evidence-pack structure for operational learning.
A structured learning guide covering AIFMD concepts, NAV, AUM, exposure, leverage, liquidity, DV01, CS01, VaR, controls, and governance.
The package is designed for practical learning, not passive reading.
Use it to understand how finance, risk, data, Python, and regulation connect in a realistic workflow.
Use it as a classroom lab, capstone exercise, or practical regulatory reporting case study.
Use it to build interview talking points around automation, controls, XML validation, and regulatory reporting operations.
Made for job-market readiness. Use it as a practical portfolio project to demonstrate finance, risk, reporting, data, and automation skills.
Get the practical toolkit you can study, run, modify, and use as a skills-building project. One-time access. Includes synthetic data, scripts, Excel outputs, XML examples, control packs, management report, and handbook.