Quantitative Data Engineer: Build Data-Driven Market Models

The Phoenix Group; Florham Park (NJ); On-site; USD 150,000 - 225,000; Full time

Benefits offered by this job

Full benefits package

Profit-sharing

401(k)

Paid time off

Job summary

The Phoenix Group Advisors in Northern New Jersey seeks a Quantitative Data Engineer to design and optimize data infrastructure that supports equity investment strategies. You will work with a cross-functional team on data processing, analytics, and software development in a research-focused environment.

Responsibilities include building and refining models, developing data repositories, automating ETL pipelines from Bloomberg, Compustat, and CapIQ, and delivering dashboards with reliable

Qualifications

• Master's or PhD degree in Computer Science, Engineering, Statistics, or a related quantitative field.
• 2+ years of professional experience with software coding in Python, Julia, C++, or C#.
• Strong proficiency in SQL, stored procedures, and relational database management, with Microsoft SQL Server experience preferred.
• In-depth understanding of financial equity data and institutional data sources such as Bloomberg, Compustat, CapIQ (familiarity preferred).
• Experience processing large, complex datasets with high performance and reliability.
• Advanced skills in mathematics and statistical analysis for quantitative modeling.
• Excellent communication skills and ability to work effectively within diverse teams and stakeholder groups.

Responsibilities

• Develop, refine, and maintain quantitative models supporting equity market strategies and trading algorithms.
• Design and enhance proprietary financial data repositories, data warehouses, and market data platforms.
• Automate, monitor, and improve ETL workflows across multiple data sources such as Bloomberg, Compustat, and CapIQ.
• Build and manage reporting, analytics dashboards, and performance metrics platforms.
• Collaborate with quantitative researchers and portfolio managers to fulfill data requests and support model development.
• Optimize large-scale data processing pipelines and storage solutions for efficiency and accuracy.
• Ensure data quality, consistency, and security in production environments.

Skills

Python

Julia

C++

C#

SQL

Microsoft SQL Server

Education

Master's or PhD in Computer Science, Engineering, Statistics, or related quantitative field

Tools

Bloomberg

Compustat

CapIQ

Job description

The Phoenix Group Advisors in Northern New Jersey seeks a Quantitative Data Engineer to design and optimize data infrastructure that supports equity investment strategies. You will work with a cross-functional team on data processing, analytics, and software development in a research-focused environment.

Responsibilities include building and refining models, developing data repositories, automating ETL pipelines from Bloomberg, Compustat, and CapIQ, and delivering dashboards with reliable