Internship Python R Jobs in Virginia (NOW HIRING)

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it's at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose.
Position Overview:
This is a two-year, full-time rotational program crafted to provide analysts with a broad spectrum of quantitative and technical experience working across multiple capital markets desks. The primary objective of this program is to develop modelers, desk quants and mortgage analytic practitioners through real-world training experiences spanning the entire mortgage capital markets life cycle. Analysts will accelerate their professional growth by working alongside best-in-class professionals in quant-focused rotations while also learning about and developing skills on fixed income trading desks.
The Quantitative Track of the Portfolio Management & Capital Markets Analyst Program is seeking candidates with quantitative skills (i.e., mathematics/statistics/engineering/computer science, some level of programming skills, and other related STEM skills), with interest in fixed income and finance, having experience as a plus. Quantitative Track Analysts will rotate among quantitative-focused capital markets and credit portfolio teams and develop experience working with large data sets, performing complex quantitative analysis, and building programs using coding languages including, but not limited to, Python, SQL, R, SAS, and. Some of the rotations offered include:

• Demonstrating big data techniques with Prepayment Modeling to predict borrower behavior.
• Supporting Credit Risk Transfer desk in analytics related to Freddie Mac portfolio of loans.
• Modeling impacts of proposed products, pricing adjustments, or changes to our capital structure.
• Supporting the innovative business pricing decisions based on market behaviors and analyzing, mitigating, and clearly defining credit and prepayment risk.
• Using corporate models to analyze key credit portfolio/new funding risk and return tradeoffs.
• Working on quantitative analysis to understand performance of credit portfolio and new fundings.

Our Impact:
Freddie Mac is responsible for handling the ~$3.4 trillion mortgage guarantee and investment portfolios through secondary mortgage market activities such as asset-liability management, loan purchases, servicing transactions, securitization, debt issuance and credit risk transfer.
You'll be part of a team that is intellectually curious, creative, analytical, and passionate about markets, managing risk and adding value to the overall firm. We provide the cash flow, financing, trading and capital market expertise that allows the company to achieve its stated mission of providing liquidity to the house market and making home possible.
Your Impact:
In this position, you will develop analytical tools and models while applying statistical techniques to large data sets to enhance decision making. You will gain diverse perspectives working across desks; on one desk you may support and complete a structured credit transaction, while on another, you may apply data science techniques to identify MBS market trends. You'll work on a variety of assignments, each presenting challenges and scope, and you are expected to ask questions, take initiative, and produce quality work that contributes to our team's success. Throughout your rotations, you will pick up real-world experience, enabling you to bring different, educated viewpoints to desks that embrace your knowledge and expertise. We guarantee a comprehensive rotation experience with both quant and market facing desks.
Through these rotations, analysts will build the following proficiencies and opportunities:

• Fixed income valuation and financial transaction analysis.
• Expertise in the U.S. Economy.
• Knowledge of primary and secondary mortgage financial systems.
• Advanced quantitative abilities (e.g., Advanced Excel, SQL, SAS, Python, R).
• Professional networking skills and opportunities within the company and industry.
• Mentorships to help guide your career.
• Social community of analysts.

Qualifications:

• Quantitative skills (i.e., math, statistics, and/or programming) demonstrated through coursework and/or internships. Experience with Python, R, SQL, SAS, and/or machine learning packages is preferred.
• Bachelor's degree, preferably but not only in Economics, Finance, Business, Engineering, Mathematics, or Statistics. Also preferred quantitative knowledge and experience in computer and data science, physics, and econometrics.
• Availability to begin full-time employment in January 2027 or June 2027, following Fall 2026 or Spring 2027 graduation, respectively.

Keys to Success in this Role:

• Ability to demonstrate adaptability and teachability to learn quickly and pick up new skills/concepts
• Exceptional communication skills, both written and verbal
• Strong problem-solving ability
• Microsoft Office skills required
• Basic coding skills required; Additional quantitative skills preferred

At the conclusion of the rotation period, analysts are encouraged to apply for a full-time position within the company. The standard internal apply-process is required, and guidance for securing a full-time opportunity will be provided. Employment opportunities post-rotational program are not guaranteed and subject to business needs, performance evaluations, and available positions.

• Must be a great teammate and able to work collaboratively
• Comfortable working in a fast-paced trading floor environment
• Attention to detail, exercise sound judgment and can handle sensitive information with discretion
• Remain aware of industry-related news and analyze the implications of news/industry developments
• Apply a learning mindset and take ownership for your development.
• Exposure to AI tools, bots, agents, prompt engineering, or automation technologies.

Current Freddie Mac employees please apply through the internal career site.
We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
A safe and secure environment is critical to Freddie Mac's business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs.
CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit www.BountyJobs.com and register with our referral code: MAC.
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 $63,000 - $95,000 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.