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
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.
