Designing, building, and maintaining scalable batch and real-time data pipelines to ingest, cleanse, and normalize data from a wide variety of structured and unstructured sources (market data, web scrapes, vendors, alternative data)

Designing and productionizing AI/ML workflows for unstructured and semi-structured data, including document/entity extraction, classification, vendor-file parsing, news and filings processing, and alternative-data onboarding

Owning prompt/model selection, evaluation harnesses, human-in-the-loop review, and monitoring so AI-assisted feeds meet the firm’s accuracy and latency standards

Owning core investment data domains, designing and evolving data models for Security Masters, Corporate Actions, and Referential datasets across various asset classes (Equities, Futures, FX, Derivatives)

Implementing robust validation checks, anomaly detection, and reconciliation logic to ensure "zero-error" data delivery to trading systems

Applying statistical and ML-based methods to detect outliers, drift, and silent data breaks

Partnering directly with Data Scientists and Quants to understand their research needs, prototype data extraction methods (including AI-enabled approaches), and operationalize research signals into production-grade feeds

Managing the end-to-end process of onboarding new datasets, engaging with external vendors to understand data nuances, and integrating APIs

Assessing where AI can accelerate mapping, documentation, and QA without compromising data integrity

Data Analyst

Responsibilities

Qualification

Required

Benefits

Company

Tower Research Capital

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