Senior Python Developer - Financial Applications & Risk

Must Have Qualifications: At least 4 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, and Unit testing. Preferred: Shell scripting, financial domain with fixed income

knowledge, graduate degree in Computer Science or Mathematics -similar degrees, Certs -CFA,

FRM, CPA.

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.

Financial Engineering:

Senior Software Developer (Specializing Financial Accounting Applications) - CW

Freddie Mac - McLean, VA

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 4 years of hands-on software development experience using a modern

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

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