Asset management & cutting-edge financial services firm in Manhattan needs hands-on Data Scientist!
Their technology platform combines market intelligence & AI to consistently elevate ROI. They’re scaling out their product to allow for ever greater gains. They are small and robust currently, with just under 50 employees, located centrally just North of Midtown Manhattan, and they offer comprehensive compensation packages for those with the right skill set and fit.
What You Need for this Position
They are seeking a Data Scientist with –
- heavy analytics experience
- algorithmic development
- Machine Learning
- experience working in finance, fin-tech, or financial markets
If you are a Data Scientist with fin-tech experience, please apply today!
Email Your Resume In Word To
Looking forward to receiving your resume through their website and going over the position with you. Clicking apply is the best way to apply, but you may also:
- Please do NOT change the email subject line in any way. You must keep the JobID: linkedin : RS2-1503048 — in the email subject line for your application to be considered.***
Remy Schor – Sr. Executive Recruiter – CyberCoders
Applicants must be authorized to work in the U.S.
CyberCoders, Inc is proud to be an Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law.
Your Right to Work – In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.
CyberCoders will consider for Employment in the City of Los Angeles qualified Applicants with Criminal Histories in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring (Ban the Box) Ordinance.
- Salary Offer 0 ~ $3000
- Experience Level Junior
- Total Years Experience 0-5
- Dropdown field Option 1