Data Scientist Intern: AI for Finance & Healthcare
Graphen Inc.
New York (NY)
On-site
USD 27,552 - 41,328
Full time
14 days+
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Job summary
Graphen Inc. is seeking a Data Scientist/Quantitative Analyst Intern in New York City. In this role, you will collaborate with the AI Trading team to develop innovative AI solutions for the financial and biomedical fields. Responsibilities include developing trading strategies, working with large datasets, and deploying predictive models. Ideal candidates are pursuing or have completed a degree in a quantitative field, have strong statistical skills, and experience in Python or C++. Join us to innovate in the realms of finance and medical AI.
Qualifications
Currently studying or graduated from a scientific or quantitative field (preferably MS or PhD).
Extraordinary quantitative and data management skills.
Proficiency in processing large datasets with statistical packages.
Software development experience preferably in Python or C++.
Applied experience with Machine Learning and Big Data technologies.
Responsibilities
Develop AI trading strategies in various financial markets.
Work with large data sets and solve difficult analysis problems.
Prototype, refine, deploy and monitor predictive models.
Develop operational models for decision making.
Skills
Quantitative and data management skills
Proficiency in Python or C++
Machine Learning
Statistical packages
Innovative thinking
Education
Currently studying or graduated from a scientific or quantitative field (MS or PhD)
Job description
Graphen Inc. is seeking a Data Scientist/Quantitative Analyst Intern in New York City. In this role, you will collaborate with the AI Trading team to develop innovative AI solutions for the financial and biomedical fields. Responsibilities include developing trading strategies, working with large datasets, and deploying predictive models. Ideal candidates are pursuing or have completed a degree in a quantitative field, have strong statistical skills, and experience in Python or C++. Join us to innovate in the realms of finance and medical AI.