Quantitative Software Engineer - Onsite M-Th, AI-Driven Finance

Preferred Mortgage Services, Inc.; Henderson (NV); On-site; USD 110,000 - 170,000; Full time

Job summary

Preferred Mortgage Services, Inc. in Henderson, NV is seeking a software engineer who blends AI, software engineering, and financial thinking to build production systems for mortgage operations.

This role combines hands-on coding with quantitative analysis and collaboration with financial professionals to turn complex business knowledge into automated decisioning, data pipelines, and scalable workflows.

Qualifications

• Bachelor's degree in Operations Research, Financial Engineering, Applied Mathematics, Computer Science, Industrial Engineering, or related field.
• Typically 3-7 years of relevant software development or quantitative analysis experience.
• Experience building production-grade systems.
• Excellent analytical and problem-solving skills.
• Ability to translate business problems into technical solutions.

Responsibilities

• Build production-grade software and expert systems.
• Turn complex business knowledge into automated system logic.
• Work with large financial and mortgage servicing datasets.
• Build SQL-based systems, ETL pipelines, APIs, and automated workflows.
• Apply optimization, simulation, and statistical modeling.
• Collaborate with developers, operations teams, financial professionals, and subject matter experts.

Skills

C# / .NET / C++

SQL / MongoDB

APIs / ETL / data pipelines

AI coding agents / AI-assisted tools

Quantitative analysis / modeling

Education

Bachelor's degree in Operations Research, Financial Engineering, Applied Mathematics, Computer Science, Industrial Engineering, or related field

Job description

Preferred Mortgage Services, Inc. in Henderson, NV is seeking a software engineer who blends AI, software engineering, and financial thinking to build production systems for mortgage operations.

This role combines hands-on coding with quantitative analysis and collaboration with financial professionals to turn complex business knowledge into automated decisioning, data pipelines, and scalable workflows.