Mohamed BOUZID

– Developed real-time ETL pipelines for processing Repo & SecLending trade data using Apache Camel. – Redesigned the deals-matching process to maximize the matching rate between internal and external deals. – Adapted the existing Repo & SecLending trade lifecycle management process-from booking through settlement as part of the back-office system migration, covering workflow updates, integration adjustments, data mapping revisions and the transition of inter-service communication to Kafka-based event-driven messaging. – Optimized liquidity calculation batch execution time by 96% through data caching and parallel processing. – Technologies: Java 8, C++ 17, Oracle, SQL, Apache Camel, Apache Kafka, Jenkins, Copilot, FIS/APEX.

– Developed a real-time analytics service based on ActivePivot and Spring Boot / cloud, processing millions of risk messages daily and exposing risk metrics to the trading applications. – Developed a Spring Boot microservice to pre-aggregate real-time risk data, exposing it via gRPC to enable efficient, low-latency consumption by downstream systems. – Built a Limit Breach Spring Boot service that monitors risk limits and notifies traders of breaches, enhancing risk control. – Owned maintenance and documentation of a legacy real-time market data feed service that retrieves data from internal systems and external providers (Elektron DD, ...) and uses Chronicle Map/Queue for low-latency market data storage and distribution; and enabled efficient team ramp-up. – Implemented formulas/risk measures allowing traders to query their risks, positions and real-time market data using ActivePivot postprocessor APIs for EQD and FIC trading desks. – Scaled the aggregation platform on the cloud using load balancing to ensure high availability and support increased throughput. – Developed stress testing tools with Gatling to simulate large-scale trader queries. – Developed Python scripts to automate daily production quality checks, reducing manual effort and improving accuracy. – Implemented monitoring dashboards using ELK Stack to track application and system metrics (risk insertion latency, GC pauses, CPU). – Increased trade validation feature efficiency by up to 90% by optimizing algorithms. – Reduced the analytics service start-up time by 50% and cut GC pauses by 75% through memory and configuration tuning. – Resolved critical memory leaks and algorithmic bugs in the pre-aggregation service, reducing production downtime. – Provided 24/7 production support to traders and commandos, troubleshooting issues and deploying urgent fixes to ensure system stability and continuity. – Set up Jenkins pipelines to automate build, testing, and packaging processes. – Technologies: Java 11/17, Spring, Python, Nats/Jetstream, Websocket, gRPC, RocksDB, Apache Arrow, ActivePivot 5, OpenHFT/Chronicle, RFA, ELK.

– Developed an e-commerce website on Shopify, including custom backend features via private Shopify apps using Node.js. – Designed and implemented Stripe-based payment automation in private apps, enabling seamless fee processing for clients and reducing operational overhead. Built a responsive frontend using ReactJS and Ionic. – Deployed and scaled private Shopify applications on AWS (EC2, ELB, SNS). – Technologies: Shopify, Javascript, Node.js, REST APIs, GraphQL, React, Ionic, AWS/EC2, AWS/ELB, AWS/SNS.

– Developed the User Defined Risk Measure C++ risk engine to compute custom risk measures/greeks across multiple asset classes. – Redesigned the User Interface of the User Defined Risk Measure module using Murex's C++ frontend framework. – Improved a legacy C/C++ risk calculation module, increasing test coverage from 0% to 40%, with large-scale refactoring and bug fixes. – Developed and maintained a distributed, resilient Spring Boot market data microservice for the Murex platform. – Built REST APIs and implemented unit tests to ensure code quality. – Resolved complex production issues and large-scale bugs impacting clients. – Created a Python monitoring tool to analyse CPU, memory, and latency, detect bottlenecks, and prevent performance regressions. – Technologies: Java 11, C++11/14, Python, Spring Boot, REST APIs, Apache Geode/Gemfire, AWS, Jenkins, SAFE.

– Joined an agile team working on 5G software and take part in the development lifecycle from feature planning to execution. – Implemented new real-time functionalities in the layer 2 (MAC) of the 5G networks and fix bugs. – Technologies: C++11/14, Googletest/mock, Cmake, Valgrind, Gdb, Coverity, Linux, Gerrit, Git, JIRA.