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Business Engineering/Business Intelligence Intern

Learn more about Freddie Mac
Freddie Mac

Freddie Mac

Business Engineering/Business Intelligence Intern

McLean, VA
Internship
Paid
  • Responsibilities

    Want to create technology that matters while building your future and your professional network? Interested in business intelligence and Python/SQL development? If you’re getting your degree in Computer Science or a related technology area and looking to get hands-on, skill-building experience with a leader in the financial technology industry, Freddie Mac’s Computer Science Summer Internship program is for you.

    As a part of this team, you’ll work with talented data stack developers and analysts who provide design, development, testing and implementation support to our Trading Desks. You’ll work with multiple Capital Markets Trading Desks to automate business processes, provide data analysis and dashboard development, as well as technical direction to achieve business objectives.

    You’ll build on the knowledge and skills you’ve acquired in your undergraduate education – while getting real-world technology and innovation experience and making lifelong connections. Upon successful completion of the internship and your undergrad degree, you may be extended an opportunity to join our Technology Analyst Program – a 12-month cohort experience that springboards you into a full-time technology career with the industry leader in the housing/finance industry.

    As an intern, you will support exciting, short-term projects through the following activities:

    Data Stack Development

    • Sit with the business to understand their needs. Based on the specific need, design and build automated solutions or interactive dashboards/report.
    • Review existing code and reports to provide new features or enhancements. Most of the existing code is SQL, Python, Tableau or Cloud analytics.
    • Propose process enhancements or changes to streamline execution and increase business value.

    Professional Development

    • Learn about the company’s business and how you can deliver value as part of Business Engineering
    • Participate in solving design and implementation challenges
    • Expand your leadership, business and analytical skills
    • Develop your personal brand and grow your professional network
    • Get support and guidance from dedicated managers and experienced analysts
    • Deepen your technological knowledge while learning about Freddie Mac’s key role in the mortgage market
    • Participate in community service and other team events to complement your professional development with personal growth
  • Qualifications
    • Pursuing undergraduate degree in Computer Science or equivalent
    • Cumulative GPA of 3.0 or greater
    • Rising seniors preferred; rising juniors considered
    • Experience programming with Python
    • Excellent verbal and written communication skills
    • Passionate about software engineering and learning new technologies
    • Knowledge of Agile software development project methodologies preferred
    • Experience with popular business tools (Windows, Office Professional, Visio, SharePoint, etc.)
    • Demonstrated analytical ability and problem-solving skills
    • Excellent verbal and written communication
    • Organized with ability to meet deadlines and contribute to team success

    Keys to Success in this Role:  

    • Technology-first mindset, outstanding analytical skills and drive for innovation
    • Willingness to try new things, fail fast and learn fast
    • Ability to work effectively and productively in a team or independently

    Top Three Personal Competencies to Possess:

    • Partnership – Collaborate AND be honest/candid (and encourage others to speak up too) – be the person everyone wants on the team
    • Seek and Embrace Change – Continuously improve rather than accepting the status quo  
    • Drive for Execution – Treat obstacles as challenges to overcome

    Preferred Skills

    • Experience writing SQL
    • Experience working with numerical/quantitative systems, e.g., pandas, NumPy, SciPy and Apache Spark
    • Experience writing automated unit, integration, regression, performance and acceptance tests
    • Familiarity with linear algebra, regression analysis and machine learning techniques

    Today, Freddie Mac makes home possible for one in four home borrowers and is one of the largest sources of financing for multifamily housing. Join our smart, creative and dedicated team and you’ll do important work for the housing finance system and make a difference in the lives of others. Freddie Mac is an equal opportunity and top diversity employer. EOE, M/F/D/V.

    The hired candidate must be legally authorized to work in the United States without restriction. Freddie Mac does not intend to support hiring any students, exchange visitors, or recent graduates on F-1, J-1, or M-1 visas, or any individuals requiring sponsorship for an employment based visa application (such as H-1B) in connection with these openings.

  • Industry
    Financial Services
  • About Us

    We are both leaders and collaborators, continuously building skills and pursuing innovative solutions. Above all, we are passionate about our mission of Making Home Possible. Join our inclusive and diverse culture, which is what drives our success and makes us a stronger company.