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: 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 Model Implementation team! 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! If you have finance and/or technology background, experience with critical applications, and thrive on ensuring operational perfection, apply for a Senior Python Software Engineer position in Model Applications Development team. 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 such as Deep Neural Networks, XG boost and Logistic regression. 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.

Qualifications: Bachelor's degree in computer science or relevant quantitative field.

Typically has 5 - 7 years related experience.

Programming languages: Python, JAVA, C++, SQL, Java script.

Back End Skills: Python, Pandas, Numpy, Flask, Django, Fast API.

Familiarity with microservices is required. Familiarity with cloud technologies like AWS is highly desired.

Automation Testing: Pytest, Automated Performance and Regression/Functional Testing.

DevOps Tools: Git, Gradle, Docker, Jenkins, Kubernetes, OCP, CI/CD pipeline.

Experience in model implementation is preferred.

Experience in maintaining High Availability (HA) systems is preferred.

Keys to Success in this Role:

Should be hardworking software developer.

Communication and interpersonal 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.

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.