Software Engineer Professional, Financial Engineering

Freddie Mac•McLean, VA

7d•Onsite

About The Position

Freddie Mac is seeking a creative and talented Software Engineer Professional to develop production systems that involve data science and machine learning. This role will focus on building numerical systems that enable machine learning and analytics on large data sets, partnering with the Single-Family Collateral Modeling team responsible for the firm’s Automated Valuation Model. The successful candidate will build systems to make models, data, and analytics available for business use, ensuring robustness, scalability, and fault tolerance.

Requirements

At least 2-4 years of experience developing in Python
Master's degree in Computer Science, Computational Finance or a directly related quantitative field.
Experience building production systems for business-critical processes
Experience with building and integrating tools, including knowledge of Gradle, Jenkins, Git and Docker.
Experience developing with large microservice based architectures, container orchestration frameworks.
Demonstrated experience with relational databases including MSSQL, MySQL
Experience writing automated unit, integration, regression, performance and acceptance tests
Solid understanding of software design principles

Nice To Haves

Passion for hands-on software development
Strong collaboration and communication skills (both written and verbal), including interacting with data scientists on technical topics
Desire to continuously improve the technical quality and architecture of our systems to respond to business needs
Ability to quickly learn, apply and deploy new technologies to solve emerging problems

Responsibilities

Implement new models and data transformations using Python based technologies such as PySpark and Pandas
Implement and expose model as web service API using Flask and deploy web services to AWS EKS
Optimize Python code to reduce runtime and memory usage
Write high quality automated tests to validate your code
Peer review other team member’s code and help them with design and implementation challenges