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Susquehanna International Group

Global quantitative trading, liquidity provision, research

Data Engineer - Python, Predictions

Data EngineeringConfirmed live in the last 24 hours
Full-timeBala Cynwyd, PA, USANo salary listedIn-person

About the Job

Requirements

  • Experience with numeric data storage methodologies and processing large, varied data sets.
  • Ability to understand mathematical algorithms and develop high-performance implementations.
  • Strong proficiency in the Python data stack, including NumPy and pandas.
  • Solid understanding of Agile development methodologies.
  • A PhD, MS, or BS degree in Computer Science or a related STEM field, or equivalent practical experience at the senior level.
  • Strong interpersonal and communication skills for interacting with traders, quantitative analysts, and software developers.
  • Self-motivation, attention to detail, and ability to adapt to changing priorities.

Responsibilities

  • Source and cleanse data, and develop and maintain data pipelines as required by quantitative research and trading.
  • Assist with researching new trading opportunities.
  • Develop, maintain, and deploy interactive and packaged reports that influence trading strategies.
  • Performance-tune existing applications and processes, and improve codebases and data flows to process large data sets efficiently.

Desired Qualifications

  • Experience with Kafka, Kubernetes, and cloud computing.
  • A keen interest in sports wagering, trading, and technology.
  • Previous experience in trading, sports analytics, or sports wagering industries.

About the Company

Susquehanna International Group

Global quantitative trading, liquidity provision, research

Susquehanna International Group (SIG) is a global quantitative trading firm that provides liquidity in equities, fixed income, commodities, and derivatives for institutional clients. Its core approach combines cutting-edge technology with quantitative research to build algorithms and models that identify trading opportunities and manage risk, enabling efficient, profitable trading. SIG differentiates itself through its deep emphasis on data-driven decision making, advanced technology, broad asset class coverage, and a strong global presence with offices in North America and regulated international locations. The company aims to generate trading profits by executing well-priced trades while supporting the careers of professionals in trading, technology, and quantitative research, all within a privacy-conscious framework.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Lower Merion Township, Pennsylvania
Founded
1987

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