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SAS Coach for business users working both in Non-Life insurance and Life insurance. Datamart creation for both life and non-Life departments (ETL + monitoring and automatic documentation). Business report development & dashboarding (Non-life). Mathematical reserves calculation & automation (Life).
Developed on-prem microservices that automate business-critical workflows. Delivered integrated analytics dashboards unifying financial, market-intelligence, and digital-traffic data into actionable KPIs for decision-makers.
End to end migration from SAS AML 7.1 to SAS AML 7.2 (DEV, ACC, PRD). Migration of SAS code, macros, reports and database tables. Administrator of the platform.
Create and load new DWH tables. DWH automation and job scheduling using Apache Airflow.
Optimization of risk applications build with SAS IntrNet. Coaching.
Technical/impact analysis on the MIG6 requirement. Business analysis, code development/adaptation, organization of internal SAS training.
End-to-end implementation of the SAS Anti Money Laundering (AML) solution including: data flow creation, data marts adaptation, implementation and fine tuning of detection scenarios, alert generation process and routing rules customization, report creation, CI/CD, training and demonstration to head of compliance. Translation of compliance need into process & codes, interface between IT and compliance teams. Main customers: Ergo Insurance, AG2R La Mondiale & Société Générale Private Banking;
End-to-End migration of existing AML solutions to latest SAS AML releases: data flow migration, historical data migration of core and knowledge center schemas, designed validation strategy ensuring no regression in alerts,improvement of detection scenarios, security and reports migration, coordinated IT and compliance stakeholders, testing, promotion, training on new features. Main customers: Ergo Insurance, Crédit Agricole, Europabank, Keytrade & Argenta bank; SAS AML Bootcamp trainer across Europe;
Financial Fraud Detection Expert at BNPParibasFortis: data collection, manipulation and statistical analysis using SEMMA methologoy.
Trainer in SAS programming language(Prog 1, 2 & 3), Automation (Macro 1 &2), SQL, ETL, Business intelligence (Visual Analytics, OLAP Cube, Eguide) & Analytics (Eminer, SAS/STAT)
Development of agronomic KPI’s and crop warning system based on meteorological data: end-to-end data engineering project from data capture to crop disease information delivery; Programming and designing of the company’s global web site
Certificate in statistics, Data Mining
Master after master, Industrial Management
Engineer, Agronomy (Bio-engineer)
Erasmus, Biology