Sr. Programmer Python

Job Description:

Our Customer is the world's leading resource for benchmarks and investable indices. Asset managers, investment banks, and other financial institutions worldwide use Customer Environment indices as the basis of ETFs, mutual funds, futures, options, and various passive investment products.

This role contributes to building a system used for balancing the global financial market indices.

• Strong object-oriented programming skills
• Expert-level knowledge of the Python programming language
• Experience building full software systems and reusable libraries
• Thinks about holistic systems, design patterns, and has some architecture experience
• Strives to create elegant, efficient code
• Can optimize/refactor code for optimal performance
• Contributes to open source or creates reusable libraries
• Enjoys the challenge of solving difficult and unique problems
• Works collaboratively as a team player on a multi-functional Agile software team

• 8-10 years of software engineering experience.
• 5+ years Python experience, current on latest Python versions 3.9+.
• Strong object-oriented programming, code abstraction and design pattern experience required.
• A background in other object-oriented programming languages such as Java, C#, or C++ is helpful, but must also be current and proficient in Python.
• Candidates will need to demonstrate systems design experience including design patterns and structure.
• Detail-oriented – maintain a high standard of code style, performance, testability, etc.
• Demonstrated ability to maintain detailed, fine-grained unit tests and to maintain large test suites.
• Strong knowledge of CI/CD pipeline scan/test/build/deploy processes. Jenkins experience preferred.
• Containerized applications including Docker experience is helpful.
• Bachelor's degree in Computer Science, Information Systems, Engineering or Mathematics is required, or in lieu, a demonstrated equivalence in work experience.

• Algorithm and/or mathematical computation skills preferred. Ideally, you would enjoy solving mathematics or statistics problems through code.
• Experience with rules engines and/or DSL (Domain Specific Languages).
• Pandas and Numpy library experience preferred. Bonus if having experience on distributed computing dataframe systems.