Analytics Developer, Market Risk DSE
Job Description
- Build data models in the cloud data warehouse that will be used as the source of truth for analytics and machine learning;
- Develop comprehensive reports and dashboards to support data-driven decision making;
- Implement and maintain robust data controls to ensure data integrity and accuracy;
- Apply software engineering best practices like version control and continuous integration to the analytics code base;
- Ideate and implement new models and analytics;
- Translate business requirements into data models that will help stakeholders answer key business questions;
- Ensure models are well tested, documented and maintained;
- Believe that simple is better, Occam's razor is your friend;
- Take ownership and ship it; release incrementally and iteratively;
- Teach and learn from your teammates. We value making others successful!
- Strong technical skills in manipulating large data sets with complex SQL and Python;
- Keen interest in financial markets;
- Experience with market data, market risk models, trading risk management, or trading operations would be an asset;
- Experience with dbt;
- Expertise in data visualization. Experience with data visualization tools on the cloud (e.g. Apache Superset / Quicksight) is a plus;
- Comfortable with software engineering best practices like version control and using Git;
- Experience with cloud data warehousing (e.g. Snowflake, Bigquery, Redshift);
- Proficient understanding of data warehousing methodologies and concepts (Kimball, Inmon, etc);
- Excellent communication skills in order to translate business requirements into data models and maintain clear documentation;
- Able to build and maintain multi-functional relationships with various teams across the business;
- Experience with graph databases is a plus;
Date Posted
04/27/2024
Views
7
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