Data Engineer, Alternative Data for Systematic Trading

Susquehanna International Group, LLP; New York (NY); On-site; USD 225,000 - 250,000; Full time

Job summary

Susquehanna International Group, LLP is seeking a Data Engineer for a Systematic Delta One desk. You will partner with researchers and traders to transform raw vendor and alternative data into timely, research-ready datasets powering alpha research and backtests.

The role emphasizes Python data pipelines, scalable ingestion over S3/SFTP, and evolving datasets with high data quality. Collaboration and fast iteration are essential.

Qualifications

• 5+ years of Python data applications and pipelines over large historical datasets.
• Experience ingesting and normalizing third-party or vendor data at scale (S3/SFTP, data shares, APIs).
• Strong SQL and familiarity with Parquet, Arrow, DuckDB, NumPy, Pandas, or Polars.
• Understanding of data modeling, data accuracy, and reproducible research workflows; bi-temporal modeling preferred.
• Experience operating production data pipelines: monitoring, backfill and restatement handling, incident forensics.
• Experience applying LLMs to data problems or building LLM-assisted tooling is a plus.
• Experience with cloud data delivery (AWS S3, Snowflake) is a plus; C++ is a plus.
• Experience in quantitative finance or electronic trading environments is a plus; advanced degree a plus.

Responsibilities

• Own end-to-end onboarding of new datasets from evaluation to production monitoring.
• Build point-in-time-correct datasets preserving history and restatements.
• Design entity-mapping datasets linking vendor identifiers to tradable instruments.
• Extend platform to extract structure from unstructured vendor material and automate onboarding.
• Run data-quality and vendor-evaluation studies informing trials and licensing.
• Create research-ready datasets for large-scale historical analysis and backtesting.
• Improve ingestion platform to onboard new datasets faster.

Skills

Python data pipelines

SQL / columnar tooling

Data modeling & reproducible research

Production data pipelines

LLMs / AI tooling

Cloud data delivery

Batch data processing (S3/SFTP)

Education

Advanced degree in CS/Math/Physics/Computer Engineering or related field

Tools

Parquet

Arrow

DuckDB

NumPy/Pandas/Polars

Job description

Susquehanna International Group, LLP is seeking a Data Engineer for a Systematic Delta One desk. You will partner with researchers and traders to transform raw vendor and alternative data into timely, research-ready datasets powering alpha research and backtests.

The role emphasizes Python data pipelines, scalable ingestion over S3/SFTP, and evolving datasets with high data quality. Collaboration and fast iteration are essential.