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Quantitative Developer

Kempstar
USA
Full-time
Senior · 5+ years experience
Onsite
Discovered 6 days ago
PythonREST APIsJavaScriptReact.jsNode.jsC#
Free

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PythonREST APIsJavaScript
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Key Responsibilities

  • Work with other members in our trading/research group to assist in constructing new pricing/trading models while maintaining the existing models
  • Assist in developing research infrastructure and libraries in python
  • Contribute to trading ideas by analyzing market and alternative data
  • Participate in the idea generation process with respect to quantitative research
  • Research, architect, and design cutting edge technology solutions
  • Leverage cloud solutions and implement web applications, tools, and APIs
  • Develop and provide unit, integration, and regression tests
  • Collaborate with other team members for modeling and analytics

Qualifications

  • MS/PhD in a quantitative or computational field such as Statistics, Computer Science, or Applied Mathematics
  • Minimum 5 years of professional experience in a front office capacity working in the investment management domain
  • 5 + years of experience in analytical models and working with investment professionals
  • Understanding of quantitative techniques and methods, statistics, and econometrics – including probability, linear regression, and time series data analysis
  • Hands-on development of analytical solutions
  • Full stack software development knowledge
  • Strong Python coding background
  • Familiarity with REST APIs & services
  • Strong analytical ability to learn independently from the code / reverse engineer
  • Agile experience, work in a rapid iterative manner
  • Strong written and verbal communication skills
  • Exposure to finance (degree/CFA/work experience) is a plus
  • Experience working with Python, JavaScript, and JS frameworks (React.js and/or Node.js), C#, C++, Python, SQL, and Linux.
  • Familiarity with the Atlassian Suite (Bitbucket, JIRA)
  • Experience in an Amazon Web Services (AWS) ecosystem
  • Hands-on experience with Docker / containers

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