Responsibilities
- Explore, assess, and build prototypes of new algorithmic strategies using state-of-the-art machine learning and deep learning methods
- Maintain a results-driven focus, prioritizing deep learning model development that directly influences profit and loss
- Develop and apply advanced machine learning techniques to address forecasting, feature creation, and optimization tasks
- Carry out experimental machine learning research across diverse domains, quickly building and refining new model architectures using Python, PyTorch, or TensorFlow to tackle difficult market-related problems
- Use analytical and mathematical reasoning to transfer innovative research methods across domains, adapting specialized techniques to achieve significant advancements in financial market applications
- Collaborate with quantitative traders, researchers, and software developers across teams to convert market observations into usable data features and predictive models
Compensation
The salary range is exclusive of bonuses, benefits or other categories of compensation
Other
- The stated salary range does not include bonuses, benefits, or other forms of compensation
- The company promotes equal opportunity and is dedicated to fostering a diverse and inclusive work environment, embracing individuals of all backgrounds and not discriminating based on race, national origin, gender, gender identity, sexual orientation, veteran status, disability, age, or other legally protected characteristics
