Senior Quantitative Data Engineer - Cloud Ml & Pyspark Lead
Russell Tobin
New York City, New York, US
About the Role
A leading recruitment firm is seeking a Quantitative Data Engineer for a hybrid role in New York City. The ideal candidate will have over 10 years of experience with expertise in Python and Spark, as well as a strong background in modernizing statistical risk models and managing data pipelines. Responsibilities include collaborating with quantitative teams, developing machine learning solutions, and mentoring junior members. This position offers innovative challenges in a dynamic environment focused on data-driven decision-making. #J-18808-Ljbffr
Responsibilities
- Collaborate with quantitative teams
- Develop machine learning solutions
- Mentor junior members
Qualifications
- 10+ years of experience
- Python
- Spark
Required Skills
Python
Spark
ML
data pipelines
risk modeling
Keywords
Quantitative
Data Engineering
Cloud
PySpark
ML
Interested in this role?
Apply now and take the next step in your career.
Job Overview
Date Posted
5 days ago
Location
New York City, New York, US
Job Type
Full-time
Work Mode
Hybrid
Experience
10-15 years
Category
Software technology, Data engineering, Cloud data platform
About the Company
Russell Tobin
staffing & recruiting
New York, United States
900 employees
5M
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