• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• W2-Permanent

• W2-Contract

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• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 16th Oct 2025

5+ years of experience in a Technical background using Python, , Industry experience , understanding of accounting systems and accounting concepts, data libraries including Pandas, Pytest, numPY, and SQL

Position Overview:

Freddie Mac’s Investments & Capital Markets division is currently seeking a talented Python Developer who is proficient in Finance/Accounting and modern SaaS technologies to work on our strategic forecasting analytics platform, Mercury+. The developer will assist the team with new features, defect fixes, technical debts, and migration efforts for both our customer facing and internal services in each stage of software development – including hands-on development, database operations, automated testing, and production maintenance.

Responsibilities

• Interact directly with corporate finance and accounting teams to understand, document, and drive solutions to business requirements.
• Design, develop, test and support our forecasting services within Mercury+.
• Fix defects and address technical debts to ensure best software development practices are met.
• Write clean, robust, high-quality code following best practices backed by automated unit and integration tests with >80% line coverage.
• Coordinate with the rest of the team working on different layers of the infrastructure.
• Assist with the infrastructure upgrades and adoption of new technologies.
• Commit to collaborative problem-solving, sophisticated design, and quality product.

Qualifications

• 5+ years of hands-on professional Python development experience.
• Financial/accounting acumen to understand business requirements and adequately test features that need to be delivered.
• Working knowledge of design patterns, OOP principles, data structure and algorithm optimization.
• Strong background in developing scalable applications and services based on Python frameworks such as pandas, pytest, numpy, and flask.
• Experience with build and integration tools, including knowledge of Python workflow tools, Jenkins, Git and Docker.
• Familiarity with database technologies such as SQL Server, Sybase, Redis, MongoDB and so on.
• Financial/technical knowledge may be demonstrated through education, training, and/or experience.