Senior Data Analyst

What you'll do

• Design, build, and maintain batch and real-time pipelines; onboard datasets and integrate vendor APIs.
• Productionize AI/ML workflows for extracting, classifying, and processing unstructured financial data; evaluate and monitor models.
• Own investment data models and implement validation, anomaly detection, and reconciliation for trading data feeds.

What they ask for

• 3+ years of professional experience in data engineering; financial-industry experience preferred.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics, or a related quantitative discipline.
• Expert-level Python proficiency, including Pandas, NumPy, and async frameworks, and advanced SQL.
• Production experience applying AI or ML to data problems and hands-on experience with workflow orchestration tools.

Nice to have

• Experience with financial instruments and datasets from Bloomberg, S&P, or LSEG; distributed computing or streaming technologies.
• Experience with retrieval-augmented generation, vector search, LLM evaluation, AI for financial documents, and cloud data platforms.

Pay

USD $230,000 - $250,000 (base salary)

Tools

Python, Pandas, NumPy, SQL, Spark, Kafka, Airflow, AWS

AI focus

Productionize AI/ML workflows for financial document and alternative-data extraction, classification, and processing; evaluate model quality, monitor failures, and use AI to accelerate mapping, documentation, and QA.