At a Glance
- Tasks: Apply advanced ML techniques to tackle forecasting challenges and influence trading strategies.
- Company: Join Susquehanna's expanding Machine Learning group in a fast-paced, global environment.
- Benefits: Competitive salary and the chance to work with cutting-edge technologies.
- Other info: Dynamic team atmosphere with opportunities for professional growth.
- Why this job: Make a real impact on trading strategies using your expertise in ML.
- Qualifications: PhD with strong publication record and experience in PyTorch or TensorFlow.
The predicted salary is between 56250 - 68750 $ per year.
Susquehanna is expanding its Machine Learning group and seeks exceptional researchers to join as Machine Learning Researchers.
You will apply advanced ML techniques to forecasting challenges, including time series analysis and NLP, directly influencing trading strategies.
Candidates should have a Ph D and a strong publication record, with hands-on experience in Py Torch or Tensor Flow and production-grade deployments.
Work is in a fast-paced, global environment.
Senior ML Researcher – Time Series & Trading Models 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.
