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Job Ref: 14864

Salary: $42000 – $90000

Data Analytics Associate located onsite in Manhattan
Base Salary: $42k – $90k (Depending on experience and qualifications)

Requirements:

  • Bachelor’s degree in Computer Science/Management Information System required, MBA/Master preferred.
  • Minimum 1 year of working experience in data analysis and software development.
  • Demonstrate proficiency in at least one core programing language (JAVA, C, C++).
  • Experience in at least one supportive programing language (Python, JavaScript, TypeScript, HTML, CSS, VBA and etc).
  • Demonstrate proficiency in one SQL language (MSSQL, MYSQL, SQLITE, and etc).
  • Demonstrate knowledge in computer science programing, system design, database design, applied analytics, and machine learning.
  • Responsibilities:
  • Assist to develop automated solutions to support business processes and report procedures.

  • Build up applications or scripts for implementing automation functionalities.

  • Database design for information storage purposes in both relationship and non-relationship infrastructures.

  • Workflow and data pipeline design and development for meeting risk related reporting requirements.

  • Develop data visualizations and dashboards to support the business intelligence progress.

  • Collaborate with credit officers, credit administration, data governance, IT, and business unit representatives to provide data analysis and governance ensure new and emerging data required for portfolio analysis is on-boarded into credit risk systems.

  • Periodic reporting on the loan portfolio. This includes report generation in a wide variety of formats including but not limited to Clicksense dashboards, Microsoft Excel report, PowerPoint presentations on a periodic as well as ad-hoc basis.
  • Assist risk management in the design and implementation of risk reporting across a variety of media.
  • Supply data to support the credit risk management, including but not limited to asset quality, change of portfolio composition, concentration, rating migration and changes of loan provisions.
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