Quantitative Risk Management job vacancy

Vacancy expired!

Quantitative Risk ManagementSalary: $100k-$150k + BonusLocation: Chicago, ILWe are unable to provide sponsorship for this roleBonus Eligible

Qualifications

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.

Responsibilities

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