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Quantitative Data Engineer

Ballinger & Co.Birkirkara, Birkirkara, Malta
On-site Full-time

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Experience Level

Mid to Senior

Qualifications

Required Skills and Experience:Proficiency in SQL and Python. Experience in data warehousing and creating robust production pipelines. Familiarity with business intelligence tools and disciplined documentation practices. Ability to thrive in regulated environments.

About the job

Key Responsibilities

  • Risk Data Infrastructure: Architect and sustain the risk data warehouse and marts, ensuring seamless integration of critical data sources such as trading, finance, and operational metrics.
  • Data Pipelines & Controls: Develop ETL/ELT processes with comprehensive monitoring, logging, access controls, and data quality checks to ensure data integrity and reliability.
  • Data Model Adaptation: Continuously refine the canonical data model to align with evolving business needs.
  • Reporting Automation: Streamline regular MI reports, including mark-to-market and daily reports, while providing self-service dashboard capabilities.
  • Governance & Documentation: Ensure all metric definitions and documentation are maintained, making MI regulator and audit ready.
  • Collaborative Delivery: Translate risk requirements into innovative data products while managing project backlogs and engaging stakeholders effectively.
  • Quantitative Risk Modelling: Design and sustain quantitative models to generate outputs pertinent to liquidity and risk management.

Key Deliverables

  • Comprehensive risk data warehouse/marts along with documented datasets and scheduled pipelines featuring alerts.
  • Automated MI packs and dashboards equipped with reconciliation checks.
  • Thorough data dictionary, lineage, and access controls, with a plan to reduce manual reporting.

About Ballinger & Co.

At Ballinger & Co., we are committed to innovation and excellence in data management and risk analysis. Our team is dedicated to providing top-tier solutions that empower businesses to make informed decisions based on reliable data.

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