Python Developer - Financial Engineering & Forecasting

Must Have Qualifications: 3+ years of hands-on professional Python software development

experience and a bachelor's degree or 1-2 years of professional Python development experience

with an advanced degree in quantitative field. Candidate must have experience with production

grade coding (not scripting), Git, SQL, Pandas, and unit testing, along with good communication

skills. Financial industry experience and prior business facing experience are preferred.

Schedule: Standard

Shortlisting Deadline: September 11

Interview Information:

Rounds: 2 rounds

Duration: 60 120 minutes

Interview Type: 1st round Virtual | 2nd round Onsite

Interview Placeholders: Targeting week of September 14th

Interview Debrief: 9/21, 1:30 no suppliers

NOTE: Selected candidates will be required to use (2) cameras during the interview. One camera

facing the candidate directly and a second camera positioned behind the candidate. This is request

by the manager to provide visibility throughout the interview and ensure candidates are not using

unauthorized external assistance during the interview process.

Job Description: Software Developer Professional (Specializing Financial Accounting Applications)

- CW

Freddie Mac's Investments & Capital Markets division is currently seeking a Professional 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

3 years' of hands-on Python software development experience with Bachelor's degree or 1-

2 years' of hands-on Python software development experience with an advanced degree in

Computer Science or other related quantitative fields

1-2 years of experience using Git for source control in a team-based development

environment.

1-2 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.

1 2 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.

Required Skills :

Basic Qualification :

Additional Skills :

Background Check : No

Drug Screen : No