Associate, Investment Analytics and Data (Full Stack Software Engineer)

Investor Strides LLC; Charlotte (NC); On-site; USD 70,000 - 110,000; Full time

Job summary

Investor Strides LLC is seeking an Associate for Investment Analytics and Data to develop its core portfolio management software. The ideal candidate will have a strong background in software development, analytical skills, and a Bachelor’s degree in a relevant field, contributing to collaborative projects within the investment team.

Qualifications

• Bachelor’s degree in relevant field required.
• Experience in software development and object-oriented programming.
• Comfortable with front-end frameworks and financial data manipulation.

Responsibilities

• Work with the investment team on portfolio management software.
• Develop software in a collaborative full stack environment.
• Participate in code reviews and design sessions.

Skills

Software Development

Analytical Skills

Problem-solving Skills

Education

Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or related field

Tools

C#

Java

SQL

Angular

React

Job description

Job Listing Summary

Job Title: Associate, Investment Analytics and Data (Full Stack Software Engineer)

Location: Charlotte, United States of America

Date Posted: May 13, 2025

Employment Type: Full-Time

Key Responsibilities:

• Work with the investment team to understand how Dimensional builds and manages its investment solutions.
• Develop the core portfolio management software suite on a full stack team.
• Write software in a collaborative environment, participate in code reviews, design sessions, and mentoring.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
• Demonstrated capacity for and interest in software development work.
• Experience with object-oriented programming languages such as C#, Java, etc.
• Experience with Front-End frameworks such as Angular, Typescript, React, Vue, etc.
• Experience writing automated tests.
• Knowledge of domain driven design concepts.
• Experience in analyzing, manipulating, and managing large financial data sets using SQL, including database design and optimization.
• Strong analytical and problem-solving skills.
• Intellectual curiosity combined with attention to detail.