Job Description

• Ability to leverage understanding of business requirements to build optimal solutions.
• Designing, developing, and maintaining data processing pipeline in pandas.
• Data analytics of semi-structured and/or unstructured data to address business problems within the Credit Risk financial domain.
• Develop easy-to-use documentation for the frameworks and tools developed for adaption by other teams
• Provide full operational support – analyze code to identify root causes of production issues provide solutions or workarounds and lead it to resolution.
• Participate in the full development life cycle including requirements analysis, design, development, deployment, and operations support.
• Perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

Must Have Technical Skills: (Top 3 In Order of Importance)

• Python with Pyspark (2 Positions) or Java Full Stack (1 Position) - 5 years

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