Analytics Engineer, Risk & Compliance Data & Infrastructure
United States - Remote
Wyre, Inc.
Powerful payments APIs to connect your app or business to the blockchain with Wyre. Simple and secure. Fiat to crypto onramps. Wallets. Swaps. Transfers. Offramps. KYC. Tools to build your vision.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
Tags: Airflow Data governance Docker ELT ETL Looker Microservices Model design Pipelines Python Redshift SQL Statistics Testing
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