Quantitative Research Internship – PhD at Susquehanna International Group, LLP (SIG)

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

05 Apr, 26

Salary

0.0

Posted On

05 Jan, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Probability, Statistics, Mathematical Creativity, Collaboration, Communication, Computing Skills, Research Projects

Industry

Financial Services

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. 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 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 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 Systematic Trading Internship program. There is no need to apply to both positions to be considered for both. About Susquehanna Susquehanna is a global quantitative trading firm founded by a group of friends who share a passion for game theory and probabilistic thinking. Our rigorous and analytical approach to decision making has led Susquehanna to become one of the largest and most successful proprietary trading firms in the world. In our offices around the globe, our employees are relentless problem solvers who collaborate to make optimal decisions. What we do Susquehanna’s deep integration of trading, technology, and quant research makes us experts in trading essentially all listed financial products and asset classes, with a focus on derivatives. We handle millions of trading transactions around the world every day as both a market maker and market taker. Our efforts provide liquidity and ensure competitive prices for buyers and sellers. While our presence in the market is broad, our trading desks are highly specialized to allow for a deep understanding of the unique drivers of each asset class. Equal Opportunity statement We encourage applications from candidates from all backgrounds, and we welcome requests for reasonable adjustments during the recruitment process to ensure that you can best demonstrate your abilities. If you have any questions, please contact sydneycampus@sig.com. Visa sponsorship is available for this position. If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.

Responsibilities

As a Quantitative Research Intern, you will apply probability, statistics, and mathematical creativity to impactful trading projects. You will collaborate with researchers, traders, and technologists to transform quantitative modeling into trading opportunities and strategies.