Senior .NET Developer – Embedded Analytics at Cforia Software

As a Senior Developer you will perform development activities for Cforia’s Credit Insights and Credit Risk and Management solutions

Requirements:

• Bachelor’s Degree in Computer Science, or the equivalent combination of education, training and experience.
• 7+ years of relevant experience in software development and testing.
• 2+ years predictive modeling experience to increase and optimize customer experiences, revenue generation, and other business outcomes.
• 2+ years of experience with C#/.NET coding to analytics/BI SDKs such as Sisense Data and Analytics Platform or similar analytics platform, APIs, SDK, etc. (e.g., Power BI, Tableau, QuickSight, Looker, others)
• 2+ years of ETL experience with any ETL tool and/or APIs.
• AWS experience is a strong plus.
• Familiarity with data visualization best practices and the ability to deliver visualizations in various easy-to-understand formats within Web applications
• Extensive knowledge of software development concepts, strategies, methodologies, architectures, and technical standards
• Experience with layered system architectures and delivery of integrated solutions (i.e., application created by combining data or functionality from different sources).
• Proficiency in new and emerging technologies.
• Strong oral and written communication skills.

Preferred Requirements:

• Experience working with JSON data and jQuery.
• Understanding of JavaScript Development.
• React is currently not used, but planned, so experience with React is a plus.

Description

As a Senior Developer you will perform development activities for Cforia’s Credit Insights and Credit Risk and Management solutions. You will design and work on an AWS technology stack and contribute to technology assessments, system design and analysis, and proof-of-technology development.

Responsibilities:

• Mine and analyze data from customer databases and data lakes to provide customers with valuable insight into their financial data
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, and other business outcomes.
• Clean, prepare, and condense large volumes of data into clean, insightful, and automated formats.
• Develop effective, scalable, defect-free source code that meets business requirements and team standards.
• Identify changes that make Cforia’s solutions more efficient and/or reduces operation or maintenance costs.