Senior Full-Stack Python Developer

Must Have Qualifications: At least 5 years of hands-on software development

experience using a modern programming language (e.g., Python, Java, OR C##).

Candidate must have Git version control, SQL, Pandas, and Unit testing. Preferred:

Shell scripting, financial domain with fixed income knowledge, graduate degree in

Computer Science or STEM -similar degrees, Certs -CFA, FRM, CPA.

Schedule: Standard

Shortlisting Deadline:06/26

Interview Information:

Rounds: 2 rounds

Duration: 120 minutes | 30 minutes

Interview Type: on-site for first round| Second round TBD

Interview Placeholders: Targeting On-site interviews will be week of 07/01 and 07/02

Interview Debrief:07/06 @ 4:30- no suppliers

Supplier Vetting Questions:

1) How do you handle challenges or difficult situations - please provide an example?

2) How do you set goals - please provide an example of a goal you''ve reached recently?

Financial Engineering:

Senior Software Developer (Specializing Financial Accounting Applications) - CW

Position Overview

Freddie Mac’s Investments & Capital Markets division is currently seeking a Sr. Software

Developer who can contribute to the firm’s enterprise forecasting platform that supports

long-term financial projections, enabling strategic planning and decision-making. The

developer will be involved in developing and enhancing core features of the forecasting

engines to improve model accuracy, performance, and scalability, as well as providing

support for critical quarterly/yearly production runs used in financial reporting to ensure

the integrity, accuracy, and timeliness of outputs. The developer will also collaborate

closely with FP&A and other stakeholders to implement new forecasting capabilities,

support scenario analysis, and meet evolving business and regulatory requirements.

Responsibilities

Refactor and modernize existing components of the financial accounting and forecasting

application to improve maintainability, performance, and scalability.

Develop and enhance core forecasting engine features to improve model accuracy,

runtime efficiency, and enterprise readiness.

Support critical quarterly production runs for financial reporting by monitoring execution,

troubleshooting issues, and ensuring integrity, accuracy, and timeliness of outputs.

Diagnose and resolve defects, reduce technical debt, and drive continuous improvements

to ensure alignment with software engineering best practices.

Write clean, robust, high-quality code following best practices, supported by automated

unit and integration tests with strong coverage.

Coordinate with team members across different layers of the stack (data, services, APIs,

and infrastructure) to deliver end-to-end solutions.

Partner with FP&A and other stakeholders to implement new forecasting capabilities,

enable scenario analysis, and meet evolving business and regulatory requirements.

Assist with infrastructure upgrades, platform migrations, and adoption of new technologies

to improve reliability, security, and operational efficiency.

Contribute to design discussions, code reviews, and documentation; demonstrate a

commitment to collaborative problem-solving, thoughtful design, and high-quality

deliverables

Qualifications

· At least 5 years of hands-on software development experience using a modern

programming language (e.g., Python, Java).

· 2–3 years of experience using Git for source control in a team-based development

environment.

· 2–3 years of experience with SQL and relational database development.

· 1–2 years of experience with containerization and orchestration technologies (e.g.,

Docker, Podman, Kubernetes).

· Proficiency with shell scripting for automation, troubleshooting, and operational support.

· 2–3 years of experience with unit testing frameworks (e.g., Pytest, JUnit) and implementing

automated test coverage.

· An understanding of fixed income concepts, including duration, convexity, spread, and

option-adjusted spread (OAS).

· Good oral and written communication skills

· Strong critical thinking, problem-solving skills, business acumen, and familiarity with

Agile development processes.

Preferred Skills

· Graduate degree in a quantitative discipline (e.g., Computer Science, Mathematics,

Statistics, or related field).

· Strong understanding of GAAP accounting fundamentals, including revenue/expense

recognition and amortization.

· CFA/FRM (or significant progress toward CFA/FRM/CPA).

· Strong oral and written communication skills, with the ability to clearly articulate

technical and business concepts.

· Experience engaging with stakeholders to gather requirements, align on priorities, and

drive delivery.

· Exposure to product and project management tools (e.g., JIRA) to support planning,

tracking, and execution.