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Susquehanna International Group

Global quantitative trading, liquidity provision, research

Talent Sourcer - Machine Learning

Technical RecruitingPosted on Nov 5
Full-timeBala Cynwyd, PA, USANo salary listed

About the Job

Requirements

  • A Bachelor's degree is required.
  • At least 5 years of professional experience as a talent sourcer or recruiter is required.
  • Experience working in a highly selective hiring environment is required.
  • A strong sense of urgency, emotional intelligence, and intellectual curiosity are required.
  • A deep understanding of the machine learning landscape and where relevant talent can be found is required.
  • The ability and desire to develop a functional understanding of the supported lines of business is required.
  • Experience with advanced sourcing techniques beyond job boards and LinkedIn Recruiter is required.
  • The ability to work on-site four days per week is required.
  • Visa sponsorship for work authorization is not available for this position now or in the future.

Responsibilities

  • Source machine learning and deep learning researchers and engineers for high-impact roles within Susquehanna.
  • Work with managers to define hiring needs and create a sourcing strategy for each role.
  • Research competitors and industry trends to develop creative outreach to attract prospective candidates.
  • Measure the success of sourcing and outreach by tracking metrics and make recommendations based on the findings.

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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