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AI Researcher/Software Engineer Trading Systems
NPAworldwide Recruitment Network
NPAworldwide Recruitment Network
 
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Job Location: New York, NY
JOB DESCRIPTION

Job #: 14424
Title: AI Researcher/Software Engineer Trading Systems
Job Location: New York City, New York - United States
Employment Type:
Salary: $150,000.00 - $180,000.00 - US Dollars - Yearly
Other Compensation: Substantial annual bonus + stock grants + fully paid benefits
Employer Will Recruit From: Nationwide
US and Canada or elsewhere only if US citizen or permanent resident
Relocation Paid?: Yes

WHY IS THIS A GREAT OPPORTUNITY?

AI Researcher/Software Engineer Trading Systems
Starting Salary: to $180,000 + bonus + stock + fully paid benefits
Location: New York City mid-town

Relocation assistance is available

A leader is securities trading technology is seeking an experienced Artificial Intelligence Software Engineer to participate in the on-going development of the companys highly automated trading systems. They want to find a someone who is both an AI expert and a solid Java programmer. The right person is both a research scientist and a hands-on programmer.

The company offers an unusual long-term career opportunity with superior compensation potential. This company does not hire contractors and has had no layoffs in its long history.

JOB DESCRIPTION

  • Research Artificial Intelligence solutions to large scale real-world securities trading problems.
  • Participate in the on-going development of the deep learning trading engine which implements the solutions.
  • Expand the neural networks, validation sets, and code automation tests.
  • Utilize customer feedback data to fine-tune systems.
  • Participate in coding execution engine.
QUALIFICATIONS

  • PhD or MS degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field.
  • Significant experience with Deep Learning for Java toolkit or any deep learning engine.
  • Expertise in Java programming.
  • Experience in natural language processing, predictive and classification algorithms.
  • Enthusiasm for technology
  • Naturally attuned to precise, detailed work
  • Ability to work in a fast-paced environment with frequent deadlines.

Education:
University - Master`s Degree


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