Intern IT Generalist at Cenlar in Yardley, Pennsylvania

Job Description:

This position will be involved in technology research, prototype development, and data analytics. Assisting in project work including but not limited to following projects: Digitally transform our consumer experience using web, mobile, artificial intelligence (AI), and machine learning; grow our Data Analytics capabilities and offerings; migrate our systems to the Microsoft Azure Cloud; enhance our business efficiency utilizing LEAN Six Sigma process reengineering.



Responsibilities:

• Performs research, prototype development, software engineering, integrated systems development and/or advanced data analytics to solve mortgage industry problems


• Research solutions to challenging financial services problems


• Designs, implements, and tests research prototype software


• Integrates software into larger systems, designs test cases, and evaluate solution effectiveness


• Contributes to high performance technical teams to innovate and executes both short-term and long-term project goals


• Contributes to project results briefings and demonstrates software and/or hardware to both technical and non-technical audiences


• Establishes and facilitates regular cross-team project team meetings


• Documents and distributes meeting minutes and follow up on action items to resolution


• Other duties as assigned


• Appropriately assess risk when business decisions are made, include but not limited to compliance and operational risk. Demonstrate consideration for Cenlar's reputation as well as our clients, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards.

• Currently enrolled as an undergraduate (Junior or Senior) and pursuing a degree from an accredited college or university with a focus in Information Technology, Data Science, Industrial Engineering, or similar major


• Minimum 3.0 GPA or higher


• Ability to demonstrate innovative thinking and eagerness to investigate business challenges, both independently and as part of a team, and provide effective solutions


• Strong analytical skills with the ability to independently solve problems


• Ability to clearly communicate technical ideas


• Strong interpersonal skills


• Working knowledge of relational and dimensional database structures via SQL Server


• Broad information technology, data analytics, machines learning, and/or optimization background


• Software development and software engineering life cycle experience in current languages and best practices


• Novice to intermediate level comfort using R, Spark, Python, or Scala languages for Data Science


• Successful completion of courses such as: Data Analytics, Advance and Basic Statistics, Data Curation Concepts, Cloud Data, Data Mining, Data Visualization, Regression Analysis, or Econometrics