Senior Analytics Developer, Market Risk DSE

In this role, you will have the opportunity to:

• 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!

Skills we are looking for:

• 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;