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Quantitative Researcher – Business Analytics Expert
1 month ago
At Sig Susquehanna, we're seeking a skilled Quantitative Researcher to join our team in Sydney. As a leading global quantitative trading firm, we specialize in derivatives trading and offer a unique opportunity for accomplished researchers to grow their career in the field of quantitative finance.
Salary:
$120,000 - $180,000 per year, depending on experience.
Job Description:
We're looking for talented researchers who can apply mathematical and statistical techniques to solve complex problems in our trading environment. Our Quantitative Researchers work closely with technologists to develop and implement trading strategies, leveraging market data and machine learning algorithms to optimize performance.
Key Responsibilities:
- Design and implement mathematical models to analyze and predict market trends
- Collaborate with cross-functional teams to develop and test trading strategies
- Analyze large datasets to identify patterns and insights
- Communicate research findings and results to stakeholders
Requirements:
- Honours or Master's degree in a quantitative field such as Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or Economics
- Strong mathematical problem-solving skills and experience with programming languages such as Python or R
- Excellent communication and collaboration skills
- Ability to work in a fast-paced environment and meet deadlines
Benefits:
- Comprehensive education program with opportunities for professional development
- Competitive salary and bonus structure
- Private healthcare and gym allowances
- Regular social and community events
- Visa sponsorship and relocation package available
About Us:
Sig Susquehanna is a global quantitative trading firm founded by a group of friends who share a passion for game theory and probabilistic thinking. We have incorporated this approach into our culture, where you will find relentless problem solvers within each of our core disciplines: Trading, Technology, and Quantitative Research.