Quantitative Developer

StreetID; New York (NY); On-site; USD 140,000 - 180,000; Full time

Job summary

StreetID in New York is seeking an Equities Quant Engineer to bridge data engineering, analytics, and storage for investment teams. You will build scalable pipelines and contribute to data-driven investment insights, collaborating with finance and IR stakeholders.

The role emphasizes data quality, rapid iteration, and close interaction with quant analysts and developers in a fast-paced equities environment.

Qualifications

• Requires a Bachelor’s degree in CS, Finance, or related field.
• Experience in data engineering, data analysis, or software development.
• Proficient with SQL and relational databases (PostgreSQL preferred; others also relevant).
• Familiar with Python, R, Java, or Scala.
• Ability to write, understand, and troubleshoot complex SQL.

Responsibilities

• Analyze large datasets to uncover trends and insights that can support investment decisions.
• Work with investment, finance, and investor relations teams to understand data requirements and build solutions.
• Maintain data quality, accuracy, and consistency across data sources and applications.
• Design, develop, and maintain data pipelines, ETL processes, and data storage solutions.
• Improve processes and systems to increase efficiency and effectiveness.

Skills

Data analysis

Data engineering

Software development

Education

Bachelor's degree in Computer Science, Finance, or a related field

Tools

PostgreSQL

MS SQL Server

Oracle

Python

R

Java

Scala

SQL

Job description

Salary: $140,000 - 180,000 per year

Requirements:

• Bachelors degree in Computer Science, Finance, or a related field
• Experience in data engineering and data analysis, and/or software development
• Experience with SQL and relational databases; PostgreSQL is preferred, with MS SQL Server and Oracle also relevant
• Familiarity with a programming language such as Python, R, Java, or Scala
• Ability to write, understand, and troubleshoot complex SQL

Responsibilities:

• Analyze large datasets to uncover trends and insights that can support investment decisions
• Work with investment, finance, and investor relations teams to understand their data requirements and build appropriate solutions
• Maintain data quality, accuracy, and consistency across data sources and applications
• Design, develop, and maintain data pipelines, ETL processes, and data storage solutions
• Improve processes and systems to increase efficiency and effectiveness

Technologies:

• ETL
• Support
• Java
• Oracle
• PostgreSQL
• Python
• Quant
• SQL
• Scala

More:

We are seeking a motivated Equities Quant Engineer to join our team. The role spans data engineering, data analytics, and data quality, and involves working with investment staff and stakeholders across Investment, Finance, Investor Relations, and Compliance. It is suited to someone with strong technical skills who is comfortable working in a fast-paced environment.