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Hamza ZBAIR

Hamza ZBAIR

Data Expert and Business Analyst in Asset Management
French

31 years old
Driving License
Paris (75013) France
Freelancer Just looking around
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As a dedicated Data Expert and Business Analyst focused on asset management, I’m committed to delivering data-driven solutions that meet client expectations. My strong analytical skills and problem-solving approach allow me to tackle complex data challenges and translate them into practical insights. I strive to ensure that the solutions I provide are reliable and add real value to decision-making processes.
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Experiences
  • Client Data Needs Assessment: Conducted comprehensive assessments of clients' data needs and existing infrastructure to identify gaps, opportunities, and areas for improvement, ensuring alignment with business goals.
  • Data Pipeline and ETL Design: Engineered scalable and efficient data pipelines and ETL processes, optimizing the data warehouse architecture to facilitate seamless data integration and management.
  • PMS Migration Support: Assisted the reporting team in transitioning data sources as the company migrated its Portfolio Management System (PMS) from Fusion Invest to Aladdin.
  • Data Source Alignment: Worked closely with stakeholders to ensure the seamless alignment of reporting processes with the new PMS, minimizing disruptions and ensuring data integrity.
  • Cross-functional Collaboration: Partnered closely with IT, finance, middle, and front office teams to ensure a seamless migration to Aladdin. Focused on aligning new reporting processes with business needs, ensuring that technical solutions supported front-office and middle-office operations. Facilitated regular communication to address challenges, streamline workflows, and meet all business and technical requirements.
Company Description
Business Sector : Asset Management
  • Hybrid Cloud Design: Led the creation of a hybrid cloud using private and GCP environments, improving infrastructure flexibility and security.
  • CI/CD Pipeline: Implemented a cloud-based CI/CD pipeline with tools like Jenkins and Terraform, enhancing deployment efficiency.
  • Central Data Repository: Developed a centralized data repository, optimizing data management and reducing costs.
  • BI Standardization: Standardized Tableau Server for consistent BI reporting across the company.
  • Informatica Cloud Integration: Integrated Informatica Cloud for automated data management and quality control.
  • Cloud Systems Leadership: Guided the design of cloud-based systems and provided strategic advice on data initiatives.
  • Training and Best Practices Advocacy: Actively supported the Natixis IM production support teams by delivering training on GCP and data technologies. Promoted the adoption of best practices in cloud architecture and data management, ensuring operational excellence.
  • Cloud Systems Optimization and Management: Managed and optimized existing cloud-based systems, focusing on improving performance, cost-efficiency, and scalability to support ongoing and future projects.
Company Description
Business Sector : Asset Management and international distribution
  • Tag System Development: Collaborated with marketing and sales teams to design a tag system in Salesforce, tracking customer interests.
  • Client Engagement Scoring: Developed algorithms to calculate engagement scores based on client interactions, enhancing lead generation and reducing churn.
  • Search Engine Creation: Built a search engine to score and segment clients, improving targeting and service delivery.
  • Alerting System for Sales: Implemented an alert system to monitor fund performance, enabling proactive client management.
  • Data Pipeline Construction: Designed pipelines to retrieve, process, and store market data from sources like Morningstar and S&P into the Datalake.
  • Sentiment Scoring: Created a sentiment analysis module to detect negative news about competitors, aiding strategic decision-making.
  • Performance Projection Module: Developed a module to project competitors' fund performance, identifying potential risks.
  • Complex Correlation Studies: Conducted studies to explore correlations between market data and client behavior.
  • Team Management and Collaboration: Managed interns on projects like asset flow prediction and NLP automation, and organized Data Challenges with other Natixis DataLab teams.
Company Description
Business Sector : Asset Management and international distribution
  • Credit Risk Modeling: Developed and deployed machine learning models to assess credit risk, focusing on predicting default probabilities and optimizing lending strategies.
  • Fraud Detection: Built advanced algorithms to identify fraudulent transactions, enhancing the bank’s ability to detect and prevent financial fraud in real time.
  • Customer Segmentation: Applied clustering techniques to segment customers based on behavior and financial data, enabling more targeted marketing strategies.
  • Market Risk Analysis: Collaborated on developing models to assess and mitigate market risks, supporting the bank’s risk management framework.
Company Description
Business Sector : private Banking, Asset Management, Insurance and CIB.
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