Senior Member of Research Staff

  • $275k-$300k
  • Remote - United States

Remote

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Senior

Summary

The job is for a Senior Member of Research Staff at Voleon, a technology company that applies machine learning to real-world problems in finance. The role involves working at the forefront of modern statistical machine learning, overseeing complex systems, conducting research, mentoring other researchers, and contributing to Voleon's efforts to recruit exceptional talent.

Requirements

  • 5-10+ years of related experience directing key research projects and mentoring colleagues
  • Capability to run multiple projects simultaneously, exercising judgment in the methods, techniques, and evaluation criteria for determining results
  • Ability to make well-reasoned design decisions, identifying and proactively potential issues, tradeoffs, risks, and the appropriate level of abstraction
  • Proven success solving large-scale computing problems
  • Expertise in modern statistical methods and machine learning with a track record as an applied researcher
  • Evidence of strong mathematical abilities
  • Strong skills in software development techniques and production level coding (Python and/or R preferred)
  • Effective at communicating complex technical issues simply and transparently, including writing insightful documentation
  • Ability to influence without requiring formal authority, with a proven track record of influence beyond your team
  • Interest in financial applications is essential, but prior finance industry experience is not a prerequisite
  • Ph.D. level coursework is required, and a Ph.D. degree in a relevant field is preferred

Responsibilities

  • Demonstrate strategic vision and perspective to oversee work that affects one or more complex systems and mission-critical areas
  • Complete large scope, highly complex projects resulting in noteworthy improvements to product performance and risk management
  • Develop a rich understanding of Voleon’s domain and methodologies
  • Prepare and analyze new datasets to assess their predictive efficacy
  • Develop, validate, and implement new models into production
  • Design and conduct experiments to improve simulations and evaluate the success of new models in a live environment
  • Build collaborative relationships cross-functionally and with key contacts outside own area of expertise, with the potential to serve as an external spokesperson for the organization
  • Communicate and collaborate effectively with key stakeholders at each stage, facilitating meaningful discussions around complex issues and driving progress towards tangible outcomes
  • Mentor other researchers and provide technical guidance, coaching, and feedback
  • Keep up to date on the latest academic research to identify novel approaches to explore for application to our domain

Benefits

  • The base salary range for this position is $275,000 to $300,000 in the location(s) of this posting. Individual salaries are determined through a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geography
  • Base salary does not include other forms of total compensation, such as bonus compensation and other benefits
  • Our benefits package includes medical, dental, and vision coverage, life and AD&D insurance, 20 days of paid time off, nine sick days, and a 401(k) plan with a company match
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