Agile Development, Associate

McLean, VA

Full-time

Onsite

$77K/yr - $115K/yr

Entry Level

Freddie Mac is a public government-sponsored enterprise that provides mortgage capital to lenders. They are seeking an Agile Development Associate to join their Automation and Analytics team in Internal Audit, where the role involves developing and implementing automation and data analytics solutions to support control testing.

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Responsibilities

Collaborate with stakeholders to develop, enhance, and implement automation and data analytics solutions to support control testing automation.
Understand and implement requirements, ensuring code quality and best practices.
Communicate progress and challenges promptly.

Qualification

Required

Bachelor’s or Master’s degree in Data Analytics, Computer Science, Engineering, or a related field or equivalent work experience.
1-3 years of experience performing data analytics using R, Python, and/or SQL.
Basic knowledge of Linux command-line tools and Git for version control.
Experience in source code management, repository management and package management with tools such as JFrog Artifactory, Bitbucket, and Kubernetes.
Experience working in an agile environment with cross-functional teams, including technical developers and business stakeholders.
Able to understand and test code written by peer developers.
Strong writing and communication skills.
Detail-driven with respect to documentation and able to communicate effectively with team members and stakeholders.
Exhibits independent judgment, strong problem solving, deep analytical ability to identify, assess, and mitigate risks and test controls.
Ability to operate as a self-motivated, pro-active, and result-driven problem solver with excellent analytical and interpersonal skills.
Quick learner of new technologies, tools, and concepts.
Maintain positive attitude, be flexible, and be a team player.
Demonstrates effective verbal and written communication skills, including the ability to communicate progress and challenges in a timely manner.