About This Role
This Analytics Engineer role involves designing, developing, and deploying financial data and analytics solutions for the Treasury and CFO division. The position focuses on building reliable data pipelines, reporting solutions, and analytical tools, while also maintaining infrastructure and resolving production issues.
Responsibilities
- Develop data pipelines, reporting solutions, data quality metrics, and validations, primarily for financial reporting within the CFO division
- Understand fixed income securities, derivatives, and related accounting concepts
- Follow Analytics Engineering’s standard development lifecycle and coding standards
- Use, maintain, and enhance the Analytics Engineering infrastructure, including version control, secure code storage, reusable components, and collaborative development practices
- Prepare applications for production deployment in accordance with current governance policies and standards
- Assist with issues related to Analytics Engineering applications and jobs
- Ensure documentation for assigned projects meets current governance policies and standards, including data definitions, data lineage, and business rules
- Collaborate with team members on code reviews, common data structures, release activities, and other related development practices
- Work with financial analysts and end users across the division to gather requirements and ensure the accuracy and usability of financial data, reporting, and analytics
Requirements
- Significant experience in financial analysis and a strong understanding of fixed income accounting concepts
- Sound knowledge of data-centric concepts including relational databases
- Strong Python programming experience
- Strong SQL experience
- Experience with Git, and any of GitLab, GitHub, or Bitbucket
- Experience with ETL or ELT tools, or data wrangling tools
- Experience with production deployments
- Experience with the full systems development life cycle
- Ability to take responsibility and function independently, while being a good team player
- Good communication and documentation skills
- Analytic mindset
- Strong familiarity with Microsoft Office products, especially Word, Excel, and PowerPoint
- Ability to work under pressure
- Bachelor’s degree in computer science, data science, or statistics or equivalent plus 5 years working in development roles in the financial services industry
Nice to have:
- Master’s degree in data science or quantitative analysis/statistics
Important Details
- Schedule: Onsite with an opportunity to work remote partially
