Quantitative Systematic Trader Required in Australia with Visa Sponsorship for 2025

Quantitative Systematic Traders play a pivotal role at the intersection of trading, technology and research, utilizing mathematical models, statistical tools and programming to develop and implement automated trading strategies. Their work begins with identifying trading opportunities by analyzing vast sets of market data and creating algorithms that respond to patterns in financial markets.

Once a trading signal is discovered, it undergoes rigorous backtesting to evaluate its viability and profitability before it is integrated into live trading. The real-time performance of these strategies is continuously monitored, allowing traders to refine their models and adapt to market changes. This dynamic and fast-paced environment calls for a strong understanding of quantitative analysis, programming and financial markets, making the role highly specialized and intellectually challenging.

Working as a Quantitative Systematic Trader requires an interdisciplinary approach, combining expertise in fields such as mathematics, computer science and economics with a deep knowledge of financial products.

The success of a Quantitative Systematic Trader lies in their ability to navigate large data sets, implement cutting-edge technology and maintain a constant feedback loop, allowing them to make data-driven decisions that enhance the profitability and efficiency of trading operations. This career offers significant opportunities for growth, continuous learning and a high level of autonomy within a collaborative, non-hierarchical work culture.

What You’ll Do

The journey of a quant project begins with a single idea:

  • This idea can originate from anyone—whether it’s from you, your mentor sitting next to you or even someone you talk to while grabbing lunch.
  • As a Quantitative Systematic Trader, your responsibility is to dive deep into market data and investigate that idea, using tools from mathematics, statistics and programming.
  • During your research, you may stumble upon a new pattern, which can be developed into a trading signal.
  • To evaluate the strength of this trading signal, you will use our backtesting environment and analyze its performance thoroughly.
  • If your analysis shows that the signal can generate profitable results, you will collaborate closely with technologists to bring it into production.
  • Once the signal is integrated into our electronic trading strategies, you will monitor its real-time performance within the financial markets.
  • As your strategy evolves, you will engage with researchers, strategists and other traders, gathering feedback and brainstorming to refine your approach.
  • Some of the new ideas generated from these discussions will grow into fresh quant projects, continuing the cycle.

We provide a comprehensive orientation program that aims to bridge the gap between academic knowledge and industry practice. This program includes an introduction to options pricing, exposure to our proprietary data sets and hands-on opportunities to practice data analysis techniques. Beyond the formal orientation, our trading floor becomes a continuous learning environment where discussions spark further development.

To get a better understanding of the role, you can read about Robert’s experience as a Quantitative Researcher in our ‘Day in the life’ segment.

What We’re Looking For

We seek individuals who have an educational background and skill set that aligns with our quantitative and trading needs:

  • You should have an Honours or Master’s degree in a quantitative field such as Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research or Economics.
  • You must possess strong analytical problem-solving abilities.
  • You should have excellent logical reasoning skills.
  • You need to communicate effectively, both in terms of understanding others and being able to clearly articulate your ideas.
  • You should have experience in coding, particularly in Python, for processing and analyzing large datasets.
  • Experience with C++ or other low-level programming languages would be an added advantage.
  • You should have a demonstrated interest in strategic games or competitive activities.
  • You must thrive in fast-paced environments and adapt to the quick pace of the financial markets.

What’s In It For You

Joining us offers you a variety of benefits and opportunities for growth:

  • Our industry-leading education program incorporates classroom theory, simulated learning and a secondment to our Philadelphia office. This comprehensive program has been designed to set graduates up for long-term success.
  • Our non-hierarchical culture encourages employees at all levels to thrive and make an impact. We are different from typical trading firms, as our environment is casual, collaborative and focused on continuous development.
  • We offer highly competitive remuneration, attractive bonuses and additional leave entitlements.
  • You will receive private healthcare benefits, gym allowances and access to wellness initiatives.
  • Our fully stocked kitchen provides daily breakfast and lunch.
  • Regular social, sporting and community events are a key part of our work culture.
  • We offer visa sponsorship and relocation packages for those who require them.

To learn more about our company culture and benefits, check out the link provided on our careers page.

Interview Process

Our hiring process is straightforward and transparent. After submitting your application, the following steps will take place:

  1. Application Submission.
  2. Online Assessments.
  3. Recruiter Interview.
  4. Technical Interview.
  5. Final Round Interviews.
  6. Job Offer.

By applying for this role, you will automatically be considered for the Quantitative Researcher position as well. There is no need to apply separately for both positions.

Equal Opportunity Statement

We actively encourage candidates from all backgrounds to apply. We are committed to ensuring that reasonable adjustments are made during the recruitment process so that all applicants have the opportunity to demonstrate their abilities. If you require any accommodations, feel free to reach out to us at sydneycampus@sig.com.

About SIG

Susquehanna International Group (SIG) is a global quantitative trading firm that was founded by a group of friends who shared a passion for game theory and probabilistic thinking. This unique approach has become embedded in our company culture, where you will find a team of problem solvers in each of our core disciplines: Trading, Technology and Quantitative Research. Our employees work together from offices around the world, collaborating to make the best possible decisions, always driven by the desire to achieve optimal results.

What We Do

We are experts in trading virtually all listed financial products and asset classes, with a special focus on derivatives trading. Through both market making and market taking, we handle millions of transactions every day on a global scale, providing liquidity and ensuring competitive prices for buyers and sellers. Although we have a broad market presence, our trading desks are highly specialized. This allows us to develop a deep understanding of the unique drivers behind each asset class we trade.

Recruitment Policy

Please note that SIG does not accept unsolicited resumes from recruiters or search firms. If a resume or referral is submitted in the absence of a signed agreement, it will become the property of SIG and no fee will be paid.

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Frequently Asked Questions

What kind of skills are important for this role?
Key skills include strong analytical problem-solving abilities, excellent logical reasoning, proficiency in coding (especially Python) and an understanding of quantitative research methods. Experience in C++ or low-level programming languages is also a plus.

Do I need prior trading experience to apply?
While prior trading experience isn’t necessary, an interest in financial markets, strategic games or competitive activities is advantageous. The company provides training and an orientation program to bridge the gap between academia and industry.

What programming languages should I be familiar with?
Python is essential for processing and analyzing large data sets and experience in C++ or other low-level programming languages is beneficial for optimizing performance in trading systems.

What does the day-to-day work of a Quantitative Systematic Trader look like?
Your day involves generating trading ideas, analyzing market data, developing algorithms, backtesting strategies and monitoring real-time performance. You will collaborate closely with technologists, researchers and other traders to refine strategies and discuss new ideas.

How does the interview process work?
The interview process typically includes several steps: submitting an application, completing online assessments, attending a recruiter interview, undergoing a technical interview and final round interviews before receiving a job offer.

Is there room for career growth and development?
Yes, the role offers significant opportunities for growth. The company’s non-hierarchical culture promotes continuous learning and employees at all levels are encouraged to make an impact. There is also a comprehensive training program that ensures career development.

Does the company provide any relocation support or visa sponsorship?
Yes, the company offers visa sponsorship and relocation packages for qualified candidates who require them.

What kind of training or onboarding is provided for new hires?
New hires go through a comprehensive orientation program that includes an introduction to options pricing, exposure to proprietary data sets and hands-on practice in data analysis techniques. Continuous learning is encouraged through discussions on the trading floor.

What is the work environment like for a Quantitative Systematic Trader?
The work environment is casual and collaborative, with a strong focus on teamwork and communication. The firm values interdisciplinary collaboration and encourages employees to brainstorm and share ideas freely, leading to a supportive and intellectually stimulating atmosphere.

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