Senior Data Analyst (AI/ML)

Location: New York, United States; hybrid working opportunities are available.

Annual base salary: USD $230,000–$250,000, plus eligibility for a discretionary bonus.

Company

Quantitative trading firm building electronic trading infrastructure, investment data platforms, and business support systems for independent trading teams.

What you will do

• Design, build, and maintain scalable batch and real-time pipelines for structured, unstructured, market, vendor, web-scraped, and alternative data.
• Productionize AI/ML workflows for document and entity extraction, classification, vendor-file parsing, news, filings, and alternative-data onboarding.
• Own prompt and model selection, evaluation harnesses, human-in-the-loop review, monitoring, and AI feed quality.
• Design investment data models for Security Masters, Corporate Actions, and referential datasets across equities, futures, FX, and derivatives.
• Implement validation, anomaly detection, reconciliation, drift monitoring, and data-quality controls for trading systems.
• Partner with Data Scientists, Quants, and external vendors to prototype extraction methods, integrate APIs, and deliver production-grade research feeds.

Requirements

• 3+ years of professional experience in data engineering, preferably in a hedge fund, asset manager, or fintech environment.
• 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 asynchronous frameworks, plus advanced SQL.
• Production experience with AI/ML for NLP, information extraction, classification, or LLM-based processing of unstructured data.
• Experience with Kafka or Spark, Airflow or Dagster, AWS or GCP, and data warehouses such as Snowflake, BigQuery, or Databricks.
• Understanding of financial instruments and datasets, dimensional modeling, SCD strategies, data partitioning, VLDB principles, Linux, Windows, NFS, S3, and technical communication with non-technical stakeholders.

Nice to have

• Proficiency in C++, Java, or Rust.
• Experience with retrieval-augmented generation, vector search, fine-tuning, distillation, LLM evaluation frameworks, or agentic workflows.
• Experience applying AI to financial documents, corporate actions, or alternative data.

Culture & Benefits

• Hybrid working opportunities in a collaborative, open-concept workplace.
• Generous paid time off and regional savings and financial wellness plans.
• Daily breakfast, lunch, and snacks, plus wellness experiences and reimbursement for selected wellness expenses.
• Company-sponsored sports teams, fitness events, volunteer opportunities, charitable giving, and social events.
• Workshops and continuous learning opportunities in a results-oriented environment with minimal hierarchy.