Quantitative Data Engineer, Prediction Markets

Susquehanna International Group, LLP

Bala Cynwyd (PA)

On-site

USD 120,000 - 160,000

Full time

14 days+
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Benefits offered by this job

World sporting events
Competitive salary & benefits

Job summary

Susquehanna International Group, LLP in Bala Cynwyd, PA is seeking an experienced Quantitative Data Engineer to join the Prediction Markets team to design, code, and maintain next-gen analysis and trading platforms.

You will work with Quantitative Researchers and other developers to build data pipelines, research trading opportunities, and deploy reports that influence strategies. Strong Python, data processing, and cloud expertise are essential.

Qualifications

  • Experience with numeric data storage methodologies and processing of large data sets.
  • Strong interpersonal and communication skills for interacting with traders, researchers, and developers.
  • Proficiency in the Python data stack (NumPy, pandas) and a solid understanding of Agile development.

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 existing applications and data flows for large data set efficiency.

Skills

Python data stack
Large data processing
Interpersonal skills
Agile methodologies

Education

PhD/MS/BS in Computer Science or related STEM field

Tools

Kafka
Kubernetes
Cloud computing

Job description

Susquehanna International Group, LLP in Bala Cynwyd, PA is seeking an experienced Quantitative Data Engineer to join the Prediction Markets team to design, code, and maintain next-gen analysis and trading platforms.

You will work with Quantitative Researchers and other developers to build data pipelines, research trading opportunities, and deploy reports that influence strategies. Strong Python, data processing, and cloud expertise are essential.

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