Quantitative Systematic Trading Internship – PhD

Susquehanna International Group, LLP; Sydney; On-site; AUD 167,000 - 234,000; Full time

Benefits offered by this job

Visa sponsorship

Relocation package

Job summary

Susquehanna International Group, LLP invites applications for a 10-week Quantitative Systematic Trading Internship in Australia. You will work on projects mirroring full-time roles, participate in a comprehensive education program, and be mentored by leading experts in quantitative finance.

The role targets penultimate-year PhD students in quantitative fields with strong analytical and communication skills, plus Python data analysis experience. Visa sponsorship/relocation may be available.

Qualifications

• Penultimate-year PhD student in a quantitative field (Math, Physics, Statistics, Electrical Engineering, CS, OR, Economics)
• Strong analytical problem-solving skills
• Excellent logical reasoning and communication abilities
• Experience writing code to process/analyze large datasets, especially in Python
• Experience in C++ or other low-level languages is a plus

Responsibilities

• Apply probability, statistics and mathematical creativity to trading projects
• Collaborate with researchers, traders and technologists to translate models into trading opportunities
• Join a structured training program and be mentored by industry experts on topics like option theory/modeling

Skills

Python

C++

Analytical skills

Communication

Problem solving

Education

PhD candidate in a quantitative field

Tools

Python

Low-level programming

Job description

Overview

As a Quantitative Systematic Trading Intern at Susquehanna, you will work on projects that model the work of our full-time employees. You will also go through a comprehensive education program and interact 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.
• Join an industry leading training program and be mentored by industry experts on topics including option theory and option modeling.
• Read about Robert’s ‘Day in the life’ as a Quantitative Researcher

What we’re looking for

• Students in the penultimate year of their PhD program in a quantitative field such as Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or Economics
• Solid, analytical problem-solving skills
• Excellent logical reasoning
• Exceptional communication skills, both in the ability to understand others and to make yourself clearly understood
• Experience writing code to process and analyze large sets of data, especially in Python
• Experience in C++ or other low level programming languages is a plus
• Demonstrated interest in strategic games and/or competitive activities
• Ability to thrive in a fast-paced environment

What’s in it for you

• 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

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

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.

Visa sponsorship is available for this position.

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.