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Susquehanna International Group

Global quantitative trading, liquidity provision, research

Quantitative Data Engineer - Eot Qedd

Quantitative DevelopmentConfirmed live in the last 24 hours
Full-timeDublin, IrelandNo salary listedIn-person

About the Job

Requirements

  • A degree in a STEM subject, with evidence of independent work from work experience, a Master's degree, or a PhD.
  • At least 4 years of professional Python experience, including practical experience solving programming problems through algorithm design.
  • At least 3 years of hands-on experience with data manipulation libraries such as Pandas, Polars, or PySpark.
  • Experience working in a Linux environment.
  • Ability and desire to work closely with researchers and accelerate their research.
  • Ability to self-manage, self-motivate, and seek process improvement opportunities.
  • Strong interpersonal and communication skills to collaborate effectively in a quantitative domain.
  • Attention to detail and ability to react to changing priorities.
  • General interest in quantitative trading.

Responsibilities

  • Write, test, and deploy Python code to create model features, analyze complex datasets, optimize algorithms and quantitative code, and define data orchestration.
  • Partner with researchers on revenue-generating projects and take on coding tasks that optimize project delivery.
  • Develop expertise in the company's systems and business.
  • Enable research and trading activities using data science, analysis, and engineering skills.

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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