Senior Quantitative Researcher / Lead Data Scientist in Parsippany

Energy Jobline

Parsippany-Troy Hills, NJ, United States

4 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Working hours

Regular working hours

Job source

www.energyjobline.com

Tech stack

Information Leak Prevention Python (Programming Language) Standard Sql

Requirements

proprietary data, macroeconomic indicators, and financial markets. Present research findings and recommendations to technical and business stakeholders. Collaborate with engineering teams as successful research transitions toward production. Required Qualifications Significant experience with time series analysis and forecasting. Strong background in econometrics, statistical modeling, and quantitative research. Experience designing rigorous backtesting methodologies and preventing look-ahead bias/data leakage. Strong Python and SQL skills. Experience in financial services, quantitative finance, capital markets, investment research, or asset management. Ability to work independently and thrive in an ambiguous, research-oriented environment. Qualifications Exp with BLS Econometric data Time Series Analysis Building Forecasting models/ systems – most important Experience building indices Financial Markets

Time Series Forecasting

Econometrics Education: Doctoral Degree

About the company

Compunnel Inc., established in 1994; is a leading provider of Staffing, IT/Software, e-Learning/Training, Business Intelligence, and Cloud Solutions. A leader in contingent and permanent workforce solutions, we also provide temp-to-hire staffing, project-based/SOW staffing, and payroll services to our esteemed clientele which includes Fortune 500 companies of diverse industry segments. Ranked as one of the largest staffing firms in the US which is our primary service market; we also have a significant presence in Europe and Asia. As a service provider in the US, we are serving our customers all major states and regions; thereby generating numerous job opportunities for prospective employees in their locations of choice.

We have witnessed multi-fold YOY growth, and continuously adding a large pool of talented resources to our employee base every year. Our extensive experience in hiring professionals of multiple in-demand skill sets (IT, Engineering, Healthcare, Admin-Clerical, Finance, Professional, Light Industrial, etc.) further makes Compunnel a wider and platform for people to pursue their careers in the US. We welcome people from all walks of life and cultures, and we support workforce by providing equal employment opportunities to people without any discrimination based on , , gender, , / region, , or any other basis.

Company DescriptionCompunnel Inc., established in 1994; is a leading provider of Staffing, IT/Software, e-Learning/Training, Business Intelligence, and Cloud Solutions. A leader in contingent and permanent workforce solutions, we also provide temp-to-hire staffing, project-based/SOW staffing, and payroll services to our esteemed clientele which includes Fortune 500 companies of diverse industry segments. Ranked as one of the largest staffing firms in the US which is our primary service market; we also have a significant presence in Europe and Asia. As a service provider in the US, we are serving our customers all major states and regions; thereby generating numerous job opportunities for prospective employees in their locations of choice.\r\n\r\nWe have witnessed multi-fold YOY growth, and continuously adding a large pool of talented resources to our employee base every year. Our extensive experience in hiring professionals of multiple in-demand skill sets (IT, Engineering, Healthcare, Admin-Clerical, Finance, Professional, Light Industrial, etc.) further makes Compunnel a wider and platform for people to pursue their careers in the US. We welcome people from all walks of life and cultures, and we support workforce by providing equal employment opportunities to people without any discrimination based on , , gender, , / region, , or any other basis.