Data & Ops Analytics Intern – Systematic Strategies

Tradermath; New York (NY); Hybrid; USD 130,000 - 145,000; Full time

Job summary

Schonfeld offers a Data & Business Analyst Intern role within the Systematic Strategies COO (SCOO) team. The program blends data, technology, and markets to solve real operational challenges over 10 action-packed weeks.

You’ll gain exposure to enterprise data architecture, AI/LLM development, and cross-functional project management while building analytics and automation for scalable decision support.

Qualifications

• Pursuing a Bachelor’s or Master’s degree in a quantitative field with ≤1 year left.
• Proficient in Python (Pandas, FastAPI/Flask) and SQL, delivering rapid ad-hoc analyses.
• AI/LLM tool development experience or interest; agent skills or RAG a plus.
• Dashboard development experience with Power BI, Grafana, HTML and workflow tools.
• Comfort learning quickly and working autonomously in a fast-paced, global environment.

Responsibilities

• Investigate and integrate enterprise data sources to build a unified analytics library.
• Design and deploy AI-assisted data tools enabling natural language queries.
• Build production dashboards and automated reports surfacing KPIs and analytics.
• Automate manual processes using orchestration frameworks like Prefect and Airflow.
• Collaborate across Technology, Risk, Operations, and Execution teams to validate data quality.
• Create scripts and schemas for ad-hoc analyses and document processes.

Skills

Python

SQL

AI/LLM

Dashboard development

Data analysis

Communication

Autonomy

Education

Bachelor’s or Master’s degree in CS/Data Science/Engineering/Mathematics/Finance

Tools

Power BI

Grafana

HTML

Prefect

Airflow

Dagster

PostgreSQL

REST APIs

Job description

Schonfeld offers a Data & Business Analyst Intern role within the Systematic Strategies COO (SCOO) team. The program blends data, technology, and markets to solve real operational challenges over 10 action-packed weeks.

You’ll gain exposure to enterprise data architecture, AI/LLM development, and cross-functional project management while building analytics and automation for scalable decision support.