What is Industry of Susquehanna International Group, LLP (SIG)?

Susquehanna International Group, LLP (SIG) is in Information Technology Industry

How many people work at Susquehanna International Group, LLP (SIG)?

Susquehanna International Group, LLP (SIG) employs approximately 2,589 people now working across globe. This figure does not include temporary contracted workers, like part time and contract employees.

Where is the Susquehanna International Group, LLP (SIG) headquarters located?

Susquehanna International Group, LLP (SIG) have head office located at Bala Cynwyd, PA, USA and was founded in 1987 year

How many Data Science, Machine Learning and Artificial intelligence Jobs at Susquehanna International Group, LLP (SIG)?

Susquehanna International Group, LLP (SIG) now hiring 13 Jobs in Data Science, Machine Learning and Artificial intelligence.

When was Susquehanna International Group, LLP (SIG) founded?

Susquehanna International Group, LLP (SIG) founded in 1987 at Bala Cynwyd, PA, USA

Susquehanna International Group, LLP (SIG)

Founded Year: 1987

Industry

Information Technology

Company Size

2,589

Head Office Location

Bala Cynwyd, PA, USA

Website

https://www.sig.com/

#hiring

13 Jobs

Jobs at Susquehanna International Group, LLP (SIG)

SIG is a global quantitative trading firm founded on a platform of intellectual curiosity. We bring together the brightest minds, cutting-edge technology, and expansive sets of data to solve incredibly challenging problems. We commit our own capital to trade financial products around the clock and around the globe, and we innovate by building virtually all of our own trading technology from scratch. Our traders, quantitative researchers, and tech

Jobs at Susquehanna International Group, LLP (SIG)

Open Roles

General Strategist

Full Stack Developer – Options – Experienced Hire

Quantitative Data Engineer – GDFI – Experienced Hire

C++ Engineer | Quantitative Data & Studies | Experienced Hire

Full Stack Developer

Software Engineer – Automated Trading

Software Developer

Quantitative Data Engineer - Sports Analytics

Machine Learning Scientist - Deep Learning

Machine Learning Scientist - Deep Learning

Quantitative Data Engineer

Machine Learning Data Scientist

Graduate Quantitative Researcher