Hybrid Quant Data Engineer - Equity Markets, Python/SQL

Canyon Associates; Parsippany-Troy Hills (NJ); Hybrid; USD 150,000 - 200,000; Full time

Benefits offered by this job

401(k)

401(k) matching

Dental insurance

Flexible spending account

Health insurance

Health savings account

Paid time off

Parental leave

Vision insurance

Job summary

Canyon Associates in Parsippany-Troy Hills, NJ is hiring a full-time Quantitative Data Engineer to build production-grade models for equity markets using Python and SQL. The role requires three days on site, with hybrid remote options, and focuses on developing and maintaining quantitative systems.

You will work with major data sources such as Bloomberg, LSEG, Compustat, and CapIQ to support equity analytics and production deployments.

Qualifications

• Experience with equities or investment systems.
• Strong SQL experience including stored procedures.
• MS degree required.
• Experience with Bloomberg, LSEG, Compustat, or CapIQ is a plus.

Responsibilities

• Develop and maintain production-grade Python systems.
• Implement and manage quantitative models for equity markets.
• Collaborate with data sources and maintain model deployments.

Skills

Python

SQL

Stored procedures

Equities

Investment systems

Education

MS degree

Tools

Bloomberg

LSEG

Compustat

CapIQ

Job description

Canyon Associates in Parsippany-Troy Hills, NJ is hiring a full-time Quantitative Data Engineer to build production-grade models for equity markets using Python and SQL. The role requires three days on site, with hybrid remote options, and focuses on developing and maintaining quantitative systems.

You will work with major data sources such as Bloomberg, LSEG, Compustat, and CapIQ to support equity analytics and production deployments.