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Financial Software Engineer

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: Coda Search│Staffing
Full Time position
Listed on 2026-02-15
Job specializations:
  • Finance & Banking
    Data Scientist
  • IT/Tech
    Data Scientist, Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

My client, a leading hedge fund, is seeking early-career candidates who are deeply technical, curious about financial markets, and want exposure to how technology drives real investment decisions.

Over a two-year rotational, you will complete multiple rotations across teams that sit at the intersection of software engineering, quantitative analysis, and finance
. You’ll work directly with senior professionals, contribute to production-level systems, and help build tools used for pricing, risk analysis, and capital management. After the rotation is complete, you'll have an idea on which team you will be supporting long term!

What you’ll work on
  • Building and enhancing analytical and technical tools used in live financial environments
  • Supporting risk measurement, performance analysis, and portfolio insights
  • Working with data, models, and code that impact real decision-making
  • Partnering with quantitative, engineering, and finance teams on high-impact projects
Ideal background
  • Strategy, Quantitative Development, Software Engineering, or similar technical roles
  • Strong analytical mindset with an interest in financial markets
  • Comfortable working across both technical and non-technical stakeholders
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Finance, Economics, or related field
  • GPA of 3.5 or higher
  • Degree from a top university
  • Strong Excel skills; experience with Python and SQL is a plus
  • Excellent written and verbal communication skills
Who succeeds here
  • Technically strong but business-minded
  • Curious, adaptable, and eager to learn across disciplines
  • Comfortable owning problems and explaining solutions clearly
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