Quant jobs / Susquehanna International Group (SIG)

Data Engineer – Alternative Data (Delta One)

A data engineering role on the Systematic Delta One desk, where engineers, researchers and traders build automated strategies. You prepare bought-in alternative datasets so researchers can rely on them.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

Build pipelines that ingest and normalise vendor datasets such as card panels and scraped prices
Detect restated history and remapped identifiers in vendor data
Judge new datasets with modellers before the firm adopts them
Build shared tools others use to explore the data

What they ask for

Required

Python data pipelines (5+ years)
Strong SQL
Pandas, Polars, Parquet, Arrow or DuckDB
Investigating large third-party datasets
Advanced degree in CS, maths, physics or similar

Education: Advanced degree in computer science, mathematics, physics, computer engineering or related field
Experience: 5+ years building Python data applications or pipelines
Languages and tools: Python
SQL
Pandas
Polars
Parquet
Arrow
DuckDB
Markets: equities

How to prepare

Build a pipeline that ingests a messy public dataset into Parquet and tests it
Write checks for point-in-time correctness and restated history
Practise SQL and DuckDB on large files
Learn identifier mapping between tickers, ISINs and company entities

What to study

The Quantitative Researcher roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on Susquehanna International Group (SIG)’s site before applying: requirements, location and pay can change after we check them.

View the posting on Susquehanna International Group (SIG)’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Susquehanna International Group (SIG) and doesn’t handle applications.