Senior Machine Learning Scientist Senior Machine Learning Scientist …

Locke Careers
in Boston, MA, United States
Permanent, Full time
Be the first to apply
Total comp very competitive across tech or finance
Locke Careers
in Boston, MA, United States
Permanent, Full time
Be the first to apply
Total comp very competitive across tech or finance
Our client is a top investment manager, globally, who is seeking a Senior Machine Learning Scientist for their Data Science group. The individual will contribute to ML strategy, lead teams of junior scientists and engineers for large initiatives, and drive research, hands-on, as a senior scientist. The Data Science group enjoys executive-level support, their mandate is broad, and they're already making a firm-wide impact. This is an excellent opportunity for an expert ML scientist to work with like-minded people on a broad set of interesting problems. Experience in finance/investment management is helpful but not at all required for this position.

Responsibilities:

  • Advise group Director on research direction and ML strategy for the firm
  • Lead research projects from idea generation and prototyping through validation with investment teams and deployment into production; this may involve project-based leadership over cross-funtional teams of junior scientists and other engineers
  • Develop predictive models to forecast economic and business outcomes
  • Architect ML-based optimizations to existing systems and proecesses within our data science stack
  • Advise quantitative investment teams who are incorporating machine learning techniques into their research process
  • Mentor junior scientists on machine learning and data science techniques

Requirements:

The ideal candidate has proven technical expertise and independence in commercial settings, and enjoys working hands-on in applied research. S/he is intellectually curious and a quick-study, but also self-directed and experienced in managing the demands on multiple projects at one time. The individual has passion for collaborating with like-minded individuals and an eagerness to apply themselves in the context of a collaborative, investment decision-making process. 

  • Advanced degree - most likely a PhD - in a quantitative field such as computer science, statistics, electrical and computer enginereing, etc. 
  • Strong background in classical machine learning, ideally including at least five yeras of relevant experience across academic and commercial settings. 3+ years of commercial experience is ideal. 
  • Deep experience working with probability, statistics, time-series and cross-sectional analysis, especially with very large data sets
  • Fluency with one or more programming lanauges including Python, R, Scala, Julia, Java, C/C++, C#, etc.
  • Interest in applying computational methods to tackle challenging real-world problems within domain such as economics and finance

Not required (but helpful):

  • Familiarity with finance and portfolio management concepts
  • Experience working with financial datasets
  • Experience building deep learning models
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