Vacancy expired!
- Master’s degree or equivalent in a quantitative field such as data analytics, computer science, mathematics, physics, finance/financial engineering. PhD preferred.
- Two to seven years of experience in data analytics required
- Experience in areas in finance and/or development experience in model implementation and testing.
- Experience with Tableau and Alteryx
- Experience in a scripting language such as Python is required.
- Experience in office technology such as PowerPoint, Confluence, Latex, Word, and Excel.
- Experience with code repository, build and deployment tools (e.g., Git, GitHub, Jenkins).
- Proficiency in database technology and query languages (such as SQL). Non-relational DB and other Big Data, cloud-based computing experience is a plus.
- Maintain and build data models to ensure information is available in our analytics warehouse for downstream uses, such as analysis and dashboard development
- Perform model performance testing, including portfolio back-testing using historical data.
- Support the launch of new products by enhancing monitoring capabilities.
- Create documentation and testing to ensure data is accurate and easily understandable
- Discover and share best practices for data and analytics engineering with members of the team
- Invest in your continued learning on data and analytics engineering best practices and evaluate them for fit in improving maintainability and reliability of analytics infrastructure
- Assist analysts in solving their analytics questions/challenges
Vacancy expired!