Description

You will apply quantitative modeling and software engineering principles to transform large datasets into actionable business insights.

Responsibilities

• Build quantitative models using R, Python, and SQL to solve complex analytical problems.
• Ingest and manipulate large datasets from diverse sources including Teradata, Oracle, and Hadoop.
• Develop data visualization tools and dashboards using Dash, Plotly, and Flask.
• Communicate technical findings to business partners to drive actionable decision-making.
• Implement software engineering best practices including TDD, XP, and OO design principles.

Required Skills

• 2+ years of hands-on experience in quantitative modeling.
• Proficiency in R, SQL, and Python.
• Experience with Pandas, Dash, Plotly, and Flask.
• Ability to work with Teradata, Oracle, and Hadoop.
• Strong understanding of correlation, optimization, clustering, and time series analysis.
• Knowledge of Microservices architecture and Cloud native concepts.
• Experience with CI/CD tools such as Jenkins, Maven, Gradle, and GitHub.
• Experience in full stack web development including JavaScript, HTML5, CSS3, Bootstrap, AngularJS, or React JS.
• Understanding of computational complexity and programmatic problem-solving.

Preferred Skills

• Master’s degree in Computer Science.
• Experience with Pivotal Cloud Foundry and Azure Cloud.
• Familiarity with Extreme Programming (XP) and paired programming.

Key Skills

Education

Any Graduate