Quantitative Systematic Trader- Experienced Hire 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

Skills

Quantitative Research, Mathematics, Statistics, Programming, Analytical Problem-Solving, Logical Reasoning, Communication Skills, Python, C++, Strategic Games, Competitive Activities, Fast-Paced Environment, Financial Problem Sets

Industry

Financial Services

Description

Overview Our Quantitative Systematic Traders connect ideas between trading, quantitative research, and technology to improve how trading decisions are made. As a true hybrid of our core disciplines, you will investigate ideas by immersing yourself in market data, leveraging mathematics, statistics, and programming. Through your research, you will discover new patterns that transform into trading signals, back test your results and carefully analyze its performance. As your trading strategy evolves, you will discuss with other quant researchers, strategists, and traders to collect feedback and brainstorm new ideas. What we’re looking for Advanced Degree in a quantitative field such as Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research or related discipline. Demonstrate excellent analytical problem-solving and logical reasoning skills. 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. Previous finance industry experience is not required, but a passion for financial problem sets with real time impact is crucial. What you can expect from us: Real Impact: Solve complex technical challenges, working alongside other quantitative systematic traders, and a highly collaborative and agile environment. Increased competence of technical skills from a blend of research, development, and trading related problems. Directly seeing how your research contributions influence trading decisions making a firm-wide impact that makes us all smarter, faster, and better every day. Balanced, Collaborative Working Culture: Our non-hierarchical culture allows employees of every level to thrive together regardless of title or tenure at Susquehanna. With industry-leading work/life balance and a casual office environment, we’re focused on continuous development of our people in a way that works for them professionally and personally. 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. 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

Quantitative Systematic Traders investigate ideas by analyzing market data and leveraging quantitative methods. They discover new trading patterns, back test results, and collaborate with other researchers and traders.