Description

You will manage the acquisition, ingestion, and lifecycle of data to support model development and enterprise standards.

Responsibilities

  • Build and maintain complex ETL jobs, frameworks, and automated data extraction tools for development and production.
  • Design data models, including entity relationship diagrams and dimensional models, using industry standard tools.
  • Develop metadata, data lineage, and documentation to ensure compliance with data governance and quality standards.
  • Translate complex technical designs and data requirements into actionable solutions for non-technical business partners.
  • Support development and testing teams by resolving data issues and providing escalation support for complex problems.

Required Skills

  • 5+ years of experience in advanced data analytics or predictive modelling.
  • Proficiency in Python, SQL, SAS, and Excel VBA.
  • Experience with Linux/Unix operating systems and the Microsoft Azure platform for analytics.
  • Hands-on experience with statistical methods and libraries such as SPSS, SAS, or R.
  • Practical knowledge of financial services, including commercial/retail lending, stress testing (CCAR, DFAST), and model governance.
  • Strong quantitative background with a Graduate degree in Statistics, Mathematics, Economics, Computer Science, Actuarial Science, Finance, or Engineering.
  • Competency in Microsoft Office tools, including Excel, VBA, Word, and PowerPoint.

Key Skills
Education

Any Graduate

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