Modeler Developer - Python

• Work closely with Model Implementation and I&CM BTO support teams to support technology delivery activities in support of Data Transformation Program.
• Play a key role in analyzing and converting complex SQL queries to align with new data sources, supporting large-scale data migrations, and ensuring seamless data integration across multiple systems.
• Update and or build applications to source securitization data from data warehouses.
• Support and execute data migration activities, ensuring data integrity and accuracy.
• Work with Snowflake for data warehousing, migration, and advanced analytics.

The position requires knowledge of model coding using Python to build out the financial forecasting models. Knowledge of coding of other financial model languages preferred.

Must Have Qualifications:

Must have 5+ years of experience in software development using Python.

Must be strong in both front end and back end.

Knowledge and strong understanding of architecture design patterns and principles is required.

Must have experience working with popular Python frameworks, such as Django, FAST API, and python libraries., * 5+ years of Python and coding experience is a must.

• 5+ years of hands-on experience with SQL, including complex query analysis and optimization.
• 3 years of experience in integrating with Snowflake APIs for data extraction and manipulation.
• 5-10 years of IT experience in design, development, integration and testing of software solutions based on Python, REST Webservices, and web development.
• 5-10 years of experience with relational databases including Sybase, SQL Server, and MySQL. Good knowledge and experience with database technologies such as SQL and NoSQL
• Demonstrated ability to analyze and join large datasets across multiple sources.
• 5 years of experience with managing, building, and deploying code through tools including Jira, GIT, Bitbucket, Gradle, Linux, Docker, and Jenkins.
• 5 years of experience designing and executing unit tests using python testing framework based on business requirements and functional specifications.
• Automation Testing: Pytest, Unitest, Monkey patch, pytest-mockito etc.
• 5 years of experience with popular Python frameworks such as Django, and FAST API.
• In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, sci-kit-learn.
• Build CI/CD Tools: gradle, Jenkins, git, Conda, pip, Jira, Gitlab, Confluence
• Bachelor's degree in computer science or related field.

Preferred Skills:

• Work independently contributing to the success of assigned project(s).
• Collaborate with cross-functional teams including data architects, business analysts, and project managers.
• Demonstrated business acumen, problem solving skills, intellectual maturity, and relationship management skills.
• Prior Client experience and understanding Corporate Data Warehouse is a plus.
• Experience with ETL tools and data pipeline orchestration.