At a Glance
- Tasks: Conduct research and develop ML models to enhance trading strategies.
- Company: Join Susquehanna, a leading global quantitative trading firm.
- Benefits: Collaborate with top researchers and access high-performance computing resources.
- Other info: Dynamic, collaborative environment with opportunities for innovation.
- Why this job: Make a real impact on trading performance using cutting-edge ML techniques.
- Qualifications: PhD in relevant field and 5+ years of ML experience required.
The predicted salary is between 54000 - 66000 $ per year.
Susquehanna is expanding the Machine Learning group and seeking exceptional researchers to join our dynamic team. As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of forecasting challenges, including time series analysis, natural language understanding, and more. Your work will directly influence our trading strategies and decision-making processes. This is a unique opportunity to work at the intersection of cutting-edge research and real-world impact, leveraging one of the highest-quality financial datasets in the industry.
We're looking for research scientists with a proven track record of applying deep learning to solve complex, high-impact problems. The ideal candidate will have a strong grasp of diverse machine learning techniques and a passion for experimenting with model architectures, feature engineering, and hyperparameter tuning to produce resilient and high-performing models.
What you'll do:
- Conduct research and develop ML models to enhance trading strategies, with a focus on deep learning and scalable deployment.
- Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches.
- Design and run experiments using the latest ML tools and frameworks.
- Develop automation tools to streamline research and system development.
- Apply rigorous scientific methods to extract signals from complex datasets and shape our understanding of market behavior.
- Partner with engineering teams to implement and test models in production environments.
What we're looking for:
- PhD in computer science, machine learning, mathematics, physics, statistics, or a related field.
- Strong track record of applying ML in academic or industry settings, with 5+ years of experience building impactful deep learning systems.
- A strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR.
- Strong programming skills in Python and/or C++.
- Practical knowledge of ML libraries and frameworks, such as PyTorch or TensorFlow, especially in production environments.
- Hands-on experience applying deep learning on time series data.
- Strong foundation in mathematics, statistics, and algorithm design.
- Excellent problem-solving skills with a creative, research-driven mindset.
- Demonstrated ability to work collaboratively in team-oriented environments.
- A passion for solving complex problems and a drive to innovate in a fast-paced, competitive environment.
What we offer:
- Collaborate with a world-class team of researchers, engineers, and traders.
- Gain access to best-in-class financial data and high-performance computing resources.
- Directly impact real-time trading performance through your work.
- Thrive in a collaborative, intellectually rigorous environment with a global footprint.
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.
Machine Learning Researcher in Sydney employer: Trading Interview
At Susquehanna, we pride ourselves on being an exceptional employer, offering a balanced and collaborative working culture that fosters professional and personal growth. Our non-hierarchical environment encourages all employees to contribute ideas and thrive, while our commitment to work/life balance ensures you can excel in your role as a Quantitative Systematic Trader. With opportunities to solve complex challenges and directly impact trading decisions, you'll find meaningful and rewarding employment in a dynamic, intellectually driven setting.
