Predictive Data Engineer - Python for Trading Platforms

Susquehanna International Group, LLP

Lower Merion Township (Montgomery County)

On-site

USD 130,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Innovative environment
Growth opportunities
Mentorship
Excellent salary and benefits
Attend world sporting events

Job summary

Susquehanna International Group, LLP invites a Quantitative Data Engineer to join the Prediction Markets team in the Greater Philadelphia area. You will design and maintain data pipelines, process large datasets, and help translate quantitative insights into trading strategies with researchers and developers.

Expect to work on cutting-edge in-house software, optimize performance, and build interactive reports that shape decision-making in fast-moving markets.

Qualifications

  • Experience with numeric data storage methodologies and large, varied data sets.
  • Ability to understand mathematical algorithms and develop high‑performance implementations.
  • Strong interpersonal and communication skills for traders and researchers.

Responsibilities

  • Design, code, and maintain data pipelines for quant research and trading.
  • Source and cleanse data; support researching new trading opportunities.
  • Develop, deploy, and maintain interactive and packaged reports influencing trading strategies.
  • Performance-tune applications and data flows for large datasets.

Skills

NumPy
pandas
Python
Agile
Kafka
Kubernetes
Cloud computing

Education

PhD/MS/BS in CS or related STEM

Tools

Kafka
Kubernetes
Cloud platforms

Job description

Susquehanna International Group, LLP invites a Quantitative Data Engineer to join the Prediction Markets team in the Greater Philadelphia area. You will design and maintain data pipelines, process large datasets, and help translate quantitative insights into trading strategies with researchers and developers.

Expect to work on cutting-edge in-house software, optimize performance, and build interactive reports that shape decision-making in fast-moving markets.

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