Software Engineer Professional

Freddie Mac; McLean (VA); Vor Ort; USD 109.000 - 163.000; Vollzeit

Zusammenfassung

Freddie Mac is seeking a Financial Engineering software engineer to convert quantitative models into robust applications. You will deploy ML-based models, expose APIs for integration with IT systems, and optimize performance across underwriting, loss mitigation and risk analytics.

The role emphasizes collaboration with business users, analytical rigor, and secure coding practices in a full-time McLean, VA environment. Competency in Java/Spring and data-focused tooling is essential.

Qualifikationen

• Typically 2-4 years related experience.
• Master's degree in Computer Science, Computational Finance or related quantitative field.

Aufgaben

• Automating and deploying Financial Models developed using ML algorithms.
• Providing APIs to Financial Models to integrate with IT applications.
• Performance tuning and stress testing models.
• Participating in model tie outs and reconciling results.
• Fixing software security vulnerabilities identified in SAST and FOSS scanning.

Kenntnisse

Java

Spring

Spring Boot

Camel

Hibernate

Angular

JavaScript

TypeScript

JUnit

Python

SAS

Analytics

API design

Ausbildung

Master's degree in Computer Science or related quantitative field

Tools

Docker

Jenkins

Kubernetes

Git

Gradle

OpenShift (OCP)

CI/CD

Jobbeschreibung

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:

Are you looking to be part of a technology team beyond the ordinary? A place full of exciting challenges and the engineers up to solving them? Then welcome to Financial Engineering! This is the place where the models become software, where many of the numbers that drive our business decisions are produced. Our systems are used for interest rate and credit risk management, investment analysis and trading, security issuance, automated loan underwriting, distressed loan decisions, economic and regulatory capital, property valuation, financial reporting, economic and GAAP forecasting, and more!

Our Impact:

Model Application Development team is responsible for converting models to application software. We evaluate millions of loans per day using the latest ML algorithms. We turn ML algorithms to APIs using web services. We are responsible for implementing underwriting, servicing and loss mitigation models

Your Impact

• Automating and deploying Financial Models developed using ML algorithms. Maintaining underwriting models, credit data processing.
• Deploying model configuration with market and economic data for loss mitigation models.
• Providing APIs to Financial Models to integrate with IT applications. Performance tuning and stress testing Models.
• Participating in model tie outs. Identifying and resolving any issues in reconciling with model results.
• Fixing software security vulnerabilities identified in SAST and FOSS scanning. Code review and guiding junior level developers.

Qualifications

• Typically has 2-4 years related experience.
• Technically and quantitatively oriented with a Master's degree in Computer Science, Computational Finance or a directly related quantitative field.
• Back End Skills: Java - Spring, Spring Boot, Camel, Hibernate, etc.,
• Relational Database Front End Skills: Web based application skills (Angular 4,JavaScript, TypeScript)
• Automation Testing: Junit, Automated Performance and Regression/Functional Testing
• DevOps Tools: Git, Gradle, Docker, Jenkins, Kubernetes, OCP, CI/CD pipeline Programming Languages: Familiarity with Python/SAS is preferred

Keys to Success in this Role:

• Communication and social skills working in a collaborative team and interacting with business customers.
• Bringing an analytical and imaginative attitude to work every day.
• Steadfast attention to business and technical details.
• Passion to ensure customer happiness and improve processes

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.