Data Analyst (AI/ML)

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

Annual base salary: USD 150,000–180,000, plus eligibility for a discretionary bonus.

Company

Quantitative trading firm operating a high-performance platform with independent trading teams, global offices, and financial data and engineering infrastructure.

What you will do

• Contribute to batch and real-time pipelines that ingest, cleanse, normalize, and monitor market, vendor, web-scraped, and alternative data.
• Write and maintain Python and SQL for data workflows under senior engineering guidance.
• Prototype prompts, models, and evaluation sets for unstructured and semi-structured data, helping productionize reliable approaches.
• Implement validation, anomaly detection, reconciliation, and root-cause analysis for data breaks.
• Support dataset onboarding by reviewing vendor specifications, mapping fields, and integrating APIs.
• Improve documentation, quality assurance, workflow reliability, and responsible AI use for sensitive financial data.

Requirements

• Master’s or PhD in computer science, engineering, mathematics, statistics, physics, economics, or a related quantitative discipline.
• Strong Python and SQL proficiency demonstrated through coursework, research, internships, or projects.
• Internship or research experience in data engineering, quantitative research, market data, or financial datasets.
• Practical experience with LLMs for document or entity extraction, classification, summarization, and evaluation workflows.
• Experience or coursework involving machine learning, NLP, workflow tools, cloud platforms, data warehouses, or financial instruments.
• Familiarity with command-line tools, Git, testing, documentation, code review, and working with large or imperfect datasets.

Nice to have

• Exposure to Bloomberg, S&P, LSEG, Airflow, Dagster, AWS, GCP, Snowflake, BigQuery, or Databricks.
• Experience with classical machine learning, NLP, or structured extraction using LLMs.

Culture & Benefits

• Collaborative, results-oriented workplace with an open-concept office and no unnecessary hierarchy.
• Generous paid time off and regional savings and financial wellness plans.
• Free breakfast, lunch, and snacks, plus in-office wellness experiences and selected wellness reimbursements.
• Company-sponsored sports teams, fitness events, volunteer opportunities, and charitable giving.
• Workshops, continuous learning opportunities, social events, and a casual dress code.