Lead Quantitative Data Quality Engineer - Enterprise Data Technology

BAM is seeking a hands-on Lead Quantitative Data Quality Engineer to architect and implement real-time, statistical data quality analytics for our enterprise investment data platform. In this high-impact role, you will quantify and communicate the quality of our data, empowering researchers with actionable metrics and insights. You'll work with hundreds of terabytes of market, reference, and unstructured data, leveraging BAM's advanced technology and AI ecosystem.

Responsibilities

• Design, build, and maintain scalable, real-time data quality analytics solutions for large-scale financial datasets
• Develop and implement statistical and machine learning models to assess and monitor data quality
• Collaborate with quant researchers, data engineers, and business stakeholders to define data quality metrics and standards
• Build tools and dashboards to visualize and communicate data quality insights
• Lead initiatives to automate anomaly detection and root cause analysis in streaming and batch data pipelines

Required Qualifications

Preferred Skills

Personal Attributes

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