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Data Science Intern - Fall 2017
Job Code : 5842
Location : New York NY US 10016
Job Type : Full Time
Career Level : Student (Undergraduate/Graduate)
Education : Master's Degree
Category : Engineering (Software and Systems)
Job Description :
Purpose: Design, build and deploy machine learning models for Portware's intelligent trade automation.
Key Responsibilities:
•Analyze data sets and prototype as many experiments as necessary to converge to the optimal practical solution
•Work with Portware’s New York-based Alpha Pro machine learning team in order to expand the predictive modeling services, and work with state-of-the art stack of data modeling paradigms.
•Get responsibility right from the first day and the unique chance to enrich the environment of key metrics Portware's predictive services rely on.

Functional responsibilities:
  • ETL: extract, transform, and load data
  • Write reusable research code and prototypes for predictive models
  • Take part in all aspects of the software life cycle, including specification, analysis, design, development, unit testing, production deployment and support.
  • Search, read, understand, and communicate relevant academic papers related to your projects.
  • Participate in brainstorming sessions for new ideas

What makes it interesting?

•Just the right kind of work for a passionate data scientist and engineer
•Freedom to explore the applicability of new approaches and technologies

•Working on the backbone of the company's predictive modeling arm
Job Requirements :
Education/Qualifications: Pursuing a MSc/PhD in a quantitative in applied mathematics, computer science, engineering, physics, operations research, Econometrics, Stochastic finance, or another quantitative discipline. The candidate should be a creative data scientist and be interested in the financial markets.

Mandatory Skills:
  • Excellent analytical skills
  • Proven hands-on design and implementation of machine learning solutions.
  • Sound knowledge and application of advanced statistical methods and time series analysis.
  • Proficiency with at least one of R, Python, Matlab
  • Strong computer science fundamentals (data structures & algorithms)
  • Solid object-oriented design skills
  • Excellent communication skills

Preferable Skills:
  • Intermediate level knowledge of Java or C++
  • Experience in financial services a plus, but other relevant industries will be considered based on project depth.
  • Proficiency with SQL and database technologies

Good to have:
Self- Starter, Ability to work under minimum supervision, Creativity, Multi-tasking

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