At a Glance
- Tasks: Apply advanced ML techniques to tackle forecasting challenges and influence trading strategies.
- Company: Join Susquehanna, a leader in the Machine Learning space.
- Benefits: Competitive salary, global exposure, and opportunities for impactful research.
- Other info: Fast-paced environment with opportunities for career advancement.
- Why this job: Make a real difference in trading strategies using cutting-edge ML techniques.
- 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 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.
