Quantitative Research Internship - PhD

Susquehanna International Group, LLP; Sydney; On-site; AUD 28,000 - 39,000; Full time

Benefits offered by this job

Visa sponsorship

Relocation package where required

Job summary

Susquehanna International Group, LLP invites top quantitative researchers to join a 10-week Quantitative Research Intern program in Sydney. You will work on probability, statistics and mathematical creativity across impactful trading projects and collaborate with researchers, traders and technologists to turn models into trading opportunities and strategies.

We seek penultimate-year PhD students in quantitative fields with exceptional math skills, strong communication, and robust computing

Qualifications

• Penultimate year PhD in a quantitative field such as mathematics, physics, statistics, electrical engineering, CS, OR, or economics.
• Exceptional mathematical problem-solving skills.
• Solid communication skills and ability to express ideas clearly.

Responsibilities

• Over the 10-week program, apply probability, statistics and mathematical creativity to trading projects.
• Collaborate with researchers, traders and technologists to translate models into trading opportunities and strategies.

Skills

Mathematical problem solving

Computing skills

Education

Penultimate year PhD in a quantitative field

Job description

Overview

As a Quantitative Research Intern at Susquehanna, you will work on projects that model the work of our full-time employees. You will learn with mentors who are at the top of their field, allowing you to build foundational knowledge in quantitative finance.

What you’ll do

• Over the 10-week program, you’ll apply probability, statistics and mathematical creativity to several impactful trading projects
• Collaborate with researchers, traders, and technologists to help transform our quantitative modeling into trading opportunities and strategies

What we’re looking for

• Students in the penultimate year of their PhD program studying in a quantitative field such as mathematics, physics, statistics, electrical engineering, computer science, operations research, or economics
• Exceptional mathematical problem-solving skills
• Solid communication skills, both in the ability to understand others and to make yourself clearly understood
• Strong, practical computing skills; a specific language proficiency is less important than your ability to get computers to accomplish tasks efficiently and reliably
• Experience working on in-depth research projects
• Visa sponsorship is available for this position

By applying to this role, you will be automatically considered for the Quantitative Systematic Trading Internship program. There is no need to apply to both positions to be considered for both.

What we offer

• Our non-hierarchical culture allows employees of every level to thrive and have an impact. We are not your typical trading firm - the environment is casual, collaborative and we focus on continuous development
• Fully stocked kitchen - daily breakfast and lunch
• Regular social, sporting, and community events.
• Visa sponsorship and relocation package where required.
• Explore our benefits and culture link

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.

Equal Opportunity statement

We encourage applications from candidates from all backgrounds, and we welcome requests for reasonableadjustmentsduring the recruitment process to ensure that you can best demonstrate your abilities. If you have any questions, please contact [e-mail].