Software Engineering Professional

Freddie Mac; McLean (VA); On-site; USD 109,000 - 163,000; Full time

Job summary

Freddie Mac's Financial Engineering group seeks a software engineer to turn financial and ML models into scalable production applications. You will deploy models, build APIs and data processing pipelines, and work across underwriting, risk, and capital teams.

The role blends finance, ML, and large-scale data processing to deliver reliable, secure software that directly informs business decisions. Ideal candidates have 2–4 years of backend development experience in Java and Python, with

Qualifications

• Typically 2–4 years of related experience.
• Bachelor's degree in Computer Science, Computational Finance, Engineering, Mathematics, Statistics, or a related quantitative field or equivalent experience; work towards advanced studies/degree preferred.
• Strong back-end development experience with Java, Python, Spring / Spring Boot, Hibernate.
• Experience with relational databases and data-driven applications.
• Experience with automated testing frameworks and practices, including JUnit, performance testing, regression and functional testing.
• Familiarity with DevOps and CI/CD tools such as Git, Gradle, Docker, Jenkins, Kubernetes.

Responsibilities

• Automating and deploying financial models built using ML algorithms.
• Maintaining underwriting models and credit data processing applications.
• Deploying model configurations using market and economic data for loss mitigation models.
• Building and supporting APIs that allow financial models to integrate with enterprise IT applications.
• Performing performance tuning, stress testing, and optimization of model applications.
• Participating in model tie-outs and reconciling application results with model outputs.
• Identifying and resolving issues related to model implementation and data discrepancies.
• Fixing software security vulnerabilities identified through SAST and FOSS scans.
• Conducting code reviews and providing technical guidance to junior developers.
• Leveraging modern AI-assisted software development tools such as GHCP/GitHub Copilot to improve developer productivity, accelerate application development, enhance code quality, and support engineering best practices.
• Collaborating with cross-functional teams to deliver high-quality, secure, and business-critical solutions.

Skills

Java

Python

Spring/Spring Boot

Hibernate

Relational databases

JUnit

Performance testing

CI/CD

DevOps

Education

Bachelor's degree in Computer Science, Computational Finance, Engineering, Mathematics, Statistics, or related field

Advanced studies/degree preferred

Tools

Git

Gradle

Docker

Jenkins

Kubernetes

Job description

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose.

Position Overview

Welcome to Financial Engineering — where advanced financial models become high-impact software solutions. Our team builds the systems that generate many of the critical numbers used to drive business decisions across the enterprise. Our platforms support a wide range of business functions, including interest rate and credit risk management, investment analysis and trading, security issuance, automated loan underwriting, distressed loan decisioning, economic and regulatory capital, property valuation, financial reporting, and economic and GAAP forecasting. If you are excited by the opportunity to work at the intersection of technology, finance, machine learning, and large-scale data processing, this role is for you.

Our Impact

The Model Application Development team is responsible for transforming financial and machine learning models into scalable, reliable, production-ready applications. We evaluate millions of loans every day using modern ML algorithms and deliver these capabilities through APIs and web services that integrate with enterprise applications. Our team plays a key role in implementing underwriting, servicing, and loss mitigation models that directly support business decisions.

Your Impact

• Automating and deploying financial models built using ML algorithms.
• Maintaining underwriting models and credit data processing applications.
• Deploying model configurations using market and economic data for loss mitigation models.
• Building and supporting APIs that allow financial models to integrate with enterprise IT applications.
• Performing performance tuning, stress testing, and optimization of model applications.
• Participating in model tie-outs and reconciling application results with model outputs.
• Identifying and resolving issues related to model implementation and data discrepancies.
• Fixing software security vulnerabilities identified through SAST and FOSS scans.
• Conducting code reviews and providing technical guidance to junior developers.
• Leveraging modern AI-assisted software development tools such as GHCP/GitHub Copilot to improve developer productivity, accelerate application development, enhance code quality, and support engineering best practices.
• Collaborating with cross-functional teams to deliver high-quality, secure, and business-critical solutions.

Qualifications

We are looking for a technically strong and analytically minded software engineer with a passion for building reliable, scalable applications.

Ideal candidates will have:

• Typically 2–4 years of related experience.
• A Bachelor's degree in Computer Science, Computational Finance, Engineering, Mathematics, Statistics, or a related quantitative field or equivalent experience; work towards advanced studies/degree preferred.
• Strong back-end development experience with:
• Java
• Python
• Spring / Spring Boot
• Hibernate
• Experience with relational databases and data-driven applications.
• Experience with automated testing frameworks and practices, including:
• JUnit
• Performance testing
• Regression and functional testing
• Familiarity with DevOps and CI/CD tools such as:
• Git
• Gradle
• Docker
• Jenkins
• Kubernetes

Keys to Success in this Role

• Strong communication and collaboration skills.
• The ability to work effectively with engineers, model developers, and business customers.
• A curious, analytical, and creative mindset.
• Strong attention to both business and technical details.
• A passion for building high-quality solutions that improve customer outcomes.
• A commitment to continuous improvement, automation, and engineering excellence.

Why Join Us?

This is an opportunity to work on meaningful technology that directly influences major financial decisions. You will be part of a collaborative engineering team that solves complex problems, applies modern technology, and turns sophisticated financial models into real-world business solutions.

If you enjoy building scalable applications, working with machine learning models, using modern engineering tools, and solving challenging financial technology problems, we would love to hear from you.

Current Freddie Mac Employees

Current Freddie Mac employees please apply through the internal career site.

We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

A safe and secure environment is critical to Freddie Mac’s business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs.

CA Applicants

Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Time-type: Full time

FLSA Status: Non-Exempt

Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.

This position has an annualized market-based salary range of $109,000 - $163,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.