The company is looking to solve the problem of consistently delivering industry-leading returns in the financial sector through the development of complex computational models and proprietary trading models and strategies.
Requirements
- Advanced degree (PhD or Postdoc) in finance, computer science, mathematics, statistics, machine learning, physics, or a related scientific discipline.
- Strong mathematical, analytical, and problem-solving skills.
- Experience conducting high-level statistical or applied mathematical research.
- Prior quantitative trading environment experience is advantageous.
- Proficiency in programming with C++, Java, or Python.
Responsibilities
- Employing financial and other data sources to construct or enhance predictive models.
- Utilizing state-of-the-art statistical and machine-learning models to bolster our R&D system.
- Designing algorithms to capitalize on predictive signals.
Other
- Advanced degree (PhD or Postdoc) in finance, computer science, mathematics, statistics, machine learning, physics, or a related scientific discipline.
- Collaboration with engineers, researchers, and senior leaders.
- Ability to undertake independent research and develop new research themes over time.
- Mid to long-term growth opportunities, including leading teams and spearheading technology initiatives.
- Experience working in a collaborative culture with a commitment to meritocracy, ambition, and determination.
