Montassar Souayah

Tech: Python (pandas, numpy, jenja..), Oracle Exadata, SQL, PL/SQL, Oracle Apex, Jenkins, ansible, Linux...

1. Team Management: Follow team activity and budget in Agile Mode (Daily Scrum, Sprint planning, Backlog review, Story Mappings, Sprint Retrospective ...), 2. Production follow up, 3. Set up of Business processes cartography & Machine learning, 4. Redesign of chain monitoring tool (ELK Stack), 5. Set up a web interface to access Trade information worldwide for all SGCIB entities, 6. Regulatory reporting projects (IMVM, EMIR/DFA, IFRS...), 7. Infrastructure cost optimization & application capacity planning 8. Various on-going projects :

o Migration from Relational database (Oracle Exadata) to Big data technologies (Hadoop, Spark, Hbase...) : feasibility study in progress,

o Redesign of database architecture optimized for Oracle Exadata features,

1. Team Management: Follow team activity and budget in Agile Mode (Daily Scrum, Sprint planning, Backlog review, Story Mappings, Sprint Retrospective ...), 2. Production follow up: I provide Support level 3 when required, 3. Set up of Business processes cartography:

o Defining design enhancements, writing specifications & testing strategy,

o Continuous improvement of data quality,

o Set up of automatic reconciliation of cartography data (input/output feed). 4. Redesign of chain monitoring tool (ELK Stack):

o Set up of monitoring based on cartography data,

o Definition of target architecture & design,

o Drafting of technical/functional specifications,

5. Set up a web interface to access Trade information worldwide for all SGCIB entities:

o Drafting of technical/functional specifications & test cases (pass cases, non-pass cases),

o Preparing SQL Queries to prepare the SOA layer for database access,

o Exhibition of APIs to ease access to cartography and financial transactions (OTC, Listed, Financing, Position ...) in the data warehouse. 6. Regulatory reporting projects:

o Remediation of Money Market Transaction Reporting (MMTR) for Banque de France & Bank of England,

o Implementation of several FpML enhancements linked to RTS 2.0 requirements for DTCC (DFA, EMIR, HKMA, MAS...) reporting.

o Review of end-of-day inventory feeding (File mode) to continuous flow feeding (Message mode). 7. Machine learning:

o Definition of predictive alert KPIs on input/output flow volumes,

o Definition of business rules deduced by a machine learning pattern on data variation (dependence between fields ...).

8. Various on-going projects:

o Migration from Relational database (Oracle Exadata) to Big data technologies (Hadoop, Spark, Hbase...) : feasibility study in progress,

o Redesign of database architecture optimized for Oracle Exadata features,