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Quantitative Data Engineer | Options | Experienced Hire

ExperiencedNo visa sponsorship
Susquehanna logo

at Susquehanna

Proprietary Trading

Posted 2 months ago

No clicks

Join Susquehanna's Quantitative Engineering and Data group to build and deploy Python code that creates model features, analyses complex datasets, and optimises quant algorithms. You will partner closely with Quantitative Researchers and Traders to enable research and trading activities and define data orchestration. The role involves working in a Linux environment, improving research delivery, and developing domain-specific expertise in quantitative trading systems.

Compensation
Not specified

Currency: Not specified

City
London, Dublin
Country
United Kingdom, Ireland

Full Job Description

JOB DESCRIPTION
Overview

Quantitative Data Engineer

At Susquehanna, the frontier of trading is no longer just speed—it’s also about mastering data. The Quantitative Engineering and Data group in Europe is a rapidly expanding group focused on creating algorithms, processes and datasets that enable revenue generation from data at Susquehanna. We partner with Quantitative Researchers, Traders and other engineering teams in London, Dublin and across the globe. We are looking for world leading talent that has the skills to write great Python code and navigate complex data and models.

Job Summary:

You will work closely with Quantitative Research and Trading to optimise quant code and algorithms, analyse data, and develop modelling features for research. As you develop in the role you will gain an intuition into the needs of a quantitative trading business. This intuition coupled with your skills will enable you to deliver real-world value to the company.

  • Member of the Quantitative Engineering and Data group
  • Responsible for enabling research and trading activities using a range of data science, analysis, and engineering skills.
  • Write, test, and deploy Python code that creates new model features, analyses complex datasets, optimizes algorithms/quant code, and defines data orchestration.
  • Partner with researchers on revenue generating projects taking on coding tasks that optimise project delivery.
  • Develop expertise in Susquehanna’s systems and business.

What we're looking for
  • Degree in a STEM subject with evidence of independent work either from work experience, Masters, or PhD.
  • 4+ years professional experience in Python with practical experience solving programming problems through algorithm design.
  • 3+ years hands-on experience working with data manipulation libraries (e.g. Pandas, Polars, PySpark).
  • Experience working in a Linux environment.
  • A desire to work closely with Researchers and accelerate their research.
  • The ability to self-manage, self-motivate, and seek process improvement opportunities.
  • Strong interpersonal and communication skills that enable you to collaborate effectively in a quantitative domain.
  • Attention to detail and ability to react to changing priorities.
  • A general interest in quantitative trading.

About Susquehanna

Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.

Susquehanna is an equal opportunity employer. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruitment process, please contact us.

If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.

#LI-MM1

Quantitative Data Engineer | Options | Experienced Hire

Compensation

Not specified

City: London, Dublin

Country: United Kingdom, Ireland

Susquehanna logo
Proprietary Trading

2 months ago

No clicks

at Susquehanna

ExperiencedNo visa sponsorship

Join Susquehanna's Quantitative Engineering and Data group to build and deploy Python code that creates model features, analyses complex datasets, and optimises quant algorithms. You will partner closely with Quantitative Researchers and Traders to enable research and trading activities and define data orchestration. The role involves working in a Linux environment, improving research delivery, and developing domain-specific expertise in quantitative trading systems.

Full Job Description

JOB DESCRIPTION
Overview

Quantitative Data Engineer

At Susquehanna, the frontier of trading is no longer just speed—it’s also about mastering data. The Quantitative Engineering and Data group in Europe is a rapidly expanding group focused on creating algorithms, processes and datasets that enable revenue generation from data at Susquehanna. We partner with Quantitative Researchers, Traders and other engineering teams in London, Dublin and across the globe. We are looking for world leading talent that has the skills to write great Python code and navigate complex data and models.

Job Summary:

You will work closely with Quantitative Research and Trading to optimise quant code and algorithms, analyse data, and develop modelling features for research. As you develop in the role you will gain an intuition into the needs of a quantitative trading business. This intuition coupled with your skills will enable you to deliver real-world value to the company.

  • Member of the Quantitative Engineering and Data group
  • Responsible for enabling research and trading activities using a range of data science, analysis, and engineering skills.
  • Write, test, and deploy Python code that creates new model features, analyses complex datasets, optimizes algorithms/quant code, and defines data orchestration.
  • Partner with researchers on revenue generating projects taking on coding tasks that optimise project delivery.
  • Develop expertise in Susquehanna’s systems and business.

What we're looking for
  • Degree in a STEM subject with evidence of independent work either from work experience, Masters, or PhD.
  • 4+ years professional experience in Python with practical experience solving programming problems through algorithm design.
  • 3+ years hands-on experience working with data manipulation libraries (e.g. Pandas, Polars, PySpark).
  • Experience working in a Linux environment.
  • A desire to work closely with Researchers and accelerate their research.
  • The ability to self-manage, self-motivate, and seek process improvement opportunities.
  • Strong interpersonal and communication skills that enable you to collaborate effectively in a quantitative domain.
  • Attention to detail and ability to react to changing priorities.
  • A general interest in quantitative trading.

About Susquehanna

Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.

Susquehanna is an equal opportunity employer. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruitment process, please contact us.

If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.

#LI-MM1