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 automated loan underwriting, distressed loan decisions. If you have technology background in creating microservices, Kubernetes, High Availability Applications, and thrive on ensuring operational excellence, apply for a Software Engineering Professional 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 ML algorithms. We turn ML algorithms to APIs using web services. We are responsible for implementing underwriting, servicing and loss mitigation models.
Your Impact:- Developing model applications and microservices using Java or Python web services frameworks.
- Maintaining underwriting models, credit data processing.
- Building dashboards, customer support UI
- Performance tuning and stress testing services.
- 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.
- 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:- Minimum of 2-4 years relevant professional 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 - REST/Json API, Spring Boot, Hibernate, Database (SQL/NOSQL)
- Front End Skills: Web based application skills (Angular, JavaScript, TypeScript)
- Automation Testing: Junit, Automated Performance and Regression/Functional Testing
- Devops Tools: git, gradle, Docker, Jenkins, Kubernetes, OCP/AWS, CI/CD pipeline.
- Experience with Apache camel, Active MQ, Apigee, ONNX is preferred
- Experience in mortgage origination and underwriting applications is preferred.
- Familiarity with either Python or SAS are preferred.
- Experience in handling borrower Credit Bureau reports (Equifax, Experian and TransUnion) preferred.
- Experience with Modeling and Simulations is preferred.
Keys to Success in this Role:- Should be passionate software developer.
- 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.
Current Freddie Mac employees please apply through the internal career site.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.
