Quant Strategist

3 days ago

Singapur, Singapore GradIQ Pty Ltd Full time

Virtu's internship program offers graduate students an extraordinary opportunity to learn about the firm and the world’s financial markets. We have built a thoughtful and challenging curriculum with projects that introduce students to the many complex and ever changing problems to solve. Students can expect a company-curated global training week for our interns, real quantitative problems to solve throughout the program and engaging social events to get to know our team and culture.

Our Quantitative Strategists and Researchers are an integral part of the algorithmic research team, working to improve Virtu's trading algorithms through transforming large data sets into usable trading models. Successful quantitative researchers work well independently and collaboratively, enjoy learning and applying new algorithmic techniques, and are excited to see their ideas turn into tangible results.

Interns will work directly with senior members of the team on our trading strategies used in Virtu's customer market making business. Interns in this track will apply their quantitative analysis and research skills to discover patterns that can potentially improve our trading algorithms. Through these projects, interns will learn about Virtu's market making business, learn to apply basic data analysis tools to large trading data sets and be pushed to think out of the box for trading ideas. Each intern will complete one to two projects which could come from different mentors and groups.

Hiring Process

Application, HackerRank Assessment, Interviews

Candidate Qualities
  • Rising juniors, or students expected to be ready for full time employment between December 2025 - June 2026
  • Advanced degree (preferably PhD) in Science, Math, Engineering or other quantitative field
  • History of diverse, challenging, and interesting coursework paired with a strong GPA
  • Exceptional quantitative, mathematical, and problem-solving skills
  • Great communication skills and the ability to collaborate with peers
  • Ability to solve technical and or quantitative problems under pressure
  • Ability to express ideas mathematically and algorithmically
  • Strong programming skills (especially C/C++ and Python, Pandas)
  • Intellectually curious and self-motivated
  • Ability to communicate within and across teams, at a high and low level, on both technical and non-technical subjects
  • Ability to seek guidance and learn new skills from peers
  • Extraordinary mental flexibility and a high tolerance for ambiguity
  • Strong drive for success within a collaborative team
  • Interest in financial markets
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