Quantum Computing Researcher

4 weeks ago

New York, New York, United States eFinancialCareers Full time
Company Overview:

We are a pioneering firm in the financial sector, renowned for our cutting-edge research and development. Our collaborative culture and emphasis on innovation attract top-tier talent, fostering a dynamic and results-oriented atmosphere. Our investment strategies are systematic, supported by a robust research and development platform, with the goal of consistently delivering industry-leading returns.

Vision:

We value specialists who can immediately contribute and enhance our dynamic team with diverse skill sets and backgrounds. The computational models we are developing are becoming increasingly complex, and computational power is paramount.

The Opportunity:
  • Engage in an evolving environment that champions complexity and growth.
  • Work at the forefront of machine learning, recognizing and harnessing its transformative potential.
  • Thrive in a setting that combines the agility of a start-up with the stability of a well-funded entity—a perfect playground for innovation.
  • Experience mid to long-term growth opportunities, including leading teams and spearheading technology initiatives.
We Are Seeking:

Talented professionals who are eager to create and refine proprietary trading models and strategies. Our team collaborates closely with engineers, researchers, and senior leaders, with the scope to undertake independent research and develop new research themes over time.

Responsibilities Include:
  • 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.
Technical Qualifications:
  • 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.

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