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The Risk Data and Infrastructure Analytics Engineer reports to the Risk & Compliance Data Science Manager and works on the most interesting and impactful initiatives to mitigate financial crime risks, including money laundering, terrorist financing, sanctions and fraud.

Responsibilities:

  • Work with all levels of management and analytics teams throughout the department to prepare, transform, and serve data for reporting, ad-hoc analysis, and company-wide communication
  • Be instrumental in developing our data governance practices
  • Maintain a high level of data and reporting quality through various testing methodologies (unit tests, integration tests, statistical tests)
  • Inform the design of and assist in the implementation of robust self-healing ETL & ELT pipelines
  • Govern the data models present in our reporting database, as well as reports generated through our BI tool (Looker), through code reviews and suggesting code optimizations
  • Improve existing data models & design intuitive data models for various business processes
  • Author, maintain & govern transformation pipelines within DBT

 

Requirements

Requirements:

  • 2+ years of relevant experience
  • You are a highly motivated self-starter constantly seeking out initiatives & opportunities to improve the current status quo
  • You take ownership of your responsibilities and outcomes
  • High energy and creativity with the desire and ability to work in a growing and changing environment
  • Expertise in database development and data model design
  • Data Science and Analytics experience in financial services, with an emphasis in compliance and risk
  • Intermediate to advanced level proficiency in SQL & Python
  • Experience using Airflow, DBT & Redshift
  • Experience deploying microservices with Docker
  • Ability to communicate complex matters in a simple, concise and clear manner
  • Strong problem-solving and operational process skills and attention to detail
  • Excellent presentation and project management skills with the ability to successfully work multiple priorities simultaneously
  • Ability to operate with strong integrity and the ability to handle projects of a sensitive and confidential nature
  • Responsive and timely in satisfying commitments and responsibilities