Deep Learning Researcher

Reposted 21 Days Ago
New York, NY, USA
In-Office
150K-300K Annually
Expert/Leader
Artificial Intelligence • Fintech • Information Technology • Machine Learning • Financial Services
The frontier of quantitative finance
The Role
The Deep Learning Researcher will expand quantitative finance boundaries by developing advanced models and conducting systematic research.
Summary Generated by Built In

Why Work with Us


Solve impactful problems. At Seven Research, our close-knit team unites brilliant minds passionate about pushing technological and scientific boundaries in the global markets. We provide state-of-the-art resources and cultivate intellectual freedom, enabling our people to develop groundbreaking solutions to the most complex challenges of our field. Our collaborative approach celebrates excellence from everyone, regardless of tenure.

Your Role

Our Deep Learning Researchers expand the boundaries of quantitative finance through the development of advanced deep learning models. You will conduct rigorous, systematic research to pioneer advanced methodologies, uncover sophisticated insights, and implement innovative approaches within our teams.

What We’re Looking For

We seek talented and knowledgeable problem-solvers with strong backgrounds in deep learning to come build with us. No financial knowledge is expected. Deep Learning Researcher candidates should have demonstrated strong applied research and critical analysis skills. We value team members who communicate clearly and can exercise ownership over projects. If working on challenging quantitative problems in a close-knit, research-driven environment excites you, we’d love to get to know you.

The ideal candidate will possess most of the following:

  • PhD degree in computer science or a related field
  • Mastery of deep learning techniques and proven track record of building sophisticated predictive models using deep learning
  • Publications in relevant journals and/or conference presentations
  • Strong programming skills, including mastery of Python
  • Strong problem-solving skills and research acumen
  • Strong communication skills to articulate complex technical concepts
  • Experience working with large data sets and computationally intensive projects
  • Experience with high-performance computing

Job Compensation Range

The base salary range for this role is $200,000 - $300,000. This does not include other forms of compensation and benefits that are part of Seven Research’s comprehensive package. We will provide additional detail about compensation and benefits during our hiring process.

Applicant Privacy

Please review our Applicant Privacy Notice for information about how we handle candidate information.

Accommodations

If you need a reasonable accommodation to participate in any part of our application or interview process, please contact [email protected]. We’ll work with you to support your participation.

We are an equal opportunity employer and prohibit discrimination and harassment without regard to race, religion, age, sex, or any other characteristic protected by law.

If you have any questions, please contact us at [email protected].

Skills Required

  • PhD degree in computer science or a related field
  • Mastery of deep learning techniques
  • Proven track record of building sophisticated predictive models using deep learning
  • Publications in relevant journals and/or conference presentations
  • Strong programming skills, including mastery of Python
  • Strong problem-solving skills and research acumen
  • Strong communication skills to articulate complex technical concepts
  • Experience working with large data sets and computationally intensive projects
  • Experience with high-performance computing
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The Company
HQ: New York, NY
10 Employees
Year Founded: 2024

What We Do

Solve unsolved problems. At Seven Research, our close-knit team unites brilliant minds passionate about pushing technological and scientific boundaries in the global markets. We provide state-of-the-art resources and cultivate intellectual freedom, enabling our people to develop groundbreaking solutions to the most complex challenges of our field. Our collaborative approach celebrates excellence from everyone, regardless of tenure.

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