Quant Data Engineer - Sports Analytics & Trading

SIG Susquehanna; Northern (KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

SIG Susquehanna is seeking an experienced Quantitative Data Engineer to join our Prediction Markets team. The role focuses on data sourcing, cleansing, pipeline development, and reporting to influence trading strategies in a fast-paced, tech-driven environment.

You will work with traders and quants on large datasets, leveraging Python, NumPy, and Pandas, with exposure to Kafka, Kubernetes and cloud platforms.

Qualifications

• Experience with numeric data storage methodologies and processing large, varied data sets.
• Ability to understand mathematical algorithms and implement high-performance solutions.
• Strong interpersonal and communication skills with traders and quants.

Responsibilities

• Source and cleanse data; develop and maintain data pipelines for quant research and trading.
• Assist with researching new trading opportunities.
• Develop, maintain and deploy interactive and packaged reports influencing trading strategies.
• Performance-tune applications and data flows for efficient large-scale processing.

Skills

Python data stack

NumPy

Pandas

Kubernetes

Kafka

Cloud computing

Data pipelines

Agile

Education

PhD/MS/BS in CS or related STEM

Job description

SIG Susquehanna is seeking an experienced Quantitative Data Engineer to join our Prediction Markets team. The role focuses on data sourcing, cleansing, pipeline development, and reporting to influence trading strategies in a fast-paced, tech-driven environment.

You will work with traders and quants on large datasets, leveraging Python, NumPy, and Pandas, with exposure to Kafka, Kubernetes and cloud platforms.