Financial Client Support and Sales
Data Science Intern
Job Code :
New York NY US 10016
Job Type :
Career Level :
Engineering (Software and Systems)
Job Description :
Design, build and deploy machine learning models for Portware's intelligent trade automation.
•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.
What makes it interesting?
- 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
•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 :
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.
- 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
Good to have:
- 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
Self- Starter, Ability to work under minimum supervision, Creativity, Multi-tasking
To find out more about opportunities at FactSet, visit us at www.factset.com/careers, www.facebook.com/factset, or www.twitter.com/factset.
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.
FactSet Research Systems Inc. is an E-Verify participant and EOE/M/F/D/V Employer which strongly supports diversity in the workforce
To submit your resume for this job, select how you heard about the job and then click the "Submit Your Resume" button below.
(NOTE: You need to have an account created in order to refer someone. Clicking this button will ask you to log in. If you are a returning user, log in to refer the person. If you are a new user, please create a Resume Profile first.)
"FactSet does not ask to conduct job interviews via text messages or online messaging services. FactSet will never ask you to pay any upfront fees, to provide your bank account or credit card information, or to deposit a check or put money on a card as a condition of employment. For more information on job scams, or If you believe you have been targeted by a job scam, please contact the Federal Trade Commission or your state’s Attorney General’s Office.
FactSet Research Systems Inc. endeavors to make our website accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact our recruiting team at email@example.com."
Equal Opportunity Employment Policy
It is the policy of FactSet Research Systems Inc. ("FactSet") to provide equal employment and advancement opportunities to all qualified employees and applicants for employment regardless of their race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, physical or mental disability, genetic information, protected veteran status, pregnancy, military or military reserve obligations, or any other class or status protected by law. This policy applies to all policies and procedures related to recruitment, hiring, training, promotion, compensation, benefits, transfer, discharge, and other terms and conditions of employment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status. If you have questions concerning this policy, please contact the Human Resources department at +1 (203) 810-1000.