Quantitative Data Engineer

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

Seeking a highly skilled Quantitative Data Engineer to advance proprietary investment systems within a leading research-focused asset management firm in Northern New Jersey. This pivotal role offers the opportunity to influence data-driven investment strategies and collaborate with a talented, cross-functional team in a high-impact environment.

Role Overview

The Quantitative Data Engineer is responsible for designing, implementing, and optimizing data infrastructure and models that support equity market investment strategies. This role requires expertise in financial data processing, analytics, and software development to enable data-informed decision-making in a fast-paced, research-oriented firm.

Key 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

Core Qualifications & Requirements

• 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

Nice-to-Have Qualifications

• Experience with financial data APIs and data integration tools
• Knowledge of machine learning techniques and statistical modeling
• Familiarity with cloud data services and frameworks (e.g., Azure, AWS)
• Prior exposure to data governance, security protocols, and compliance standards

Core Technical Skills

• Programming: Python, Julia, C++, C#
• Databases: SQL Server, SQL, Data Warehousing, ETL processes
• Data Platforms: Bloomberg, Compustat, CapIQ, other financial data sources
• Data Processing: Large dataset management, automation, scripting
• Statistical & Mathematical Analysis: Quantitative modeling, analytics, data visualization

Career Impact

This role provides the unique opportunity to directly influence investment decisions through innovative data solutions, working within a collaborative environment that values technical expertise and strategic impact.

Compensation and Benefits

$150,000 - $225,000 base salary plus discretionary bonus, full benefits package, profit-sharing, 401(k), and paid time off.

The Phoenix Group Advisors is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace and prohibit discrimination and harassment of any kind based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We strive to attract talented individuals from all backgrounds and provide equal employment opportunities to all employees and applicants for employment.