Drexel Co-op Program
Comcast's Drexel Co-op Program offers an exciting opportunity to gain hands-on experience, build lasting connections, and grow professionally in a dynamic and inclusive environment. This paid, 6-month immersive experience places students at the heart of our business, working alongside talented professionals on meaningful projects that contribute to real outcomes. As a trusted member of the team, you'll gain exposure to the inner workings of a global media and technology company while developing skills that will serve you well in any career path.
Your experience will include :
At Comcast, we're committed to investing in the next generation of innovators and leaders. Our Co-op Program is a transformative experience designed to help you grow, connect, and take the next step in your professional journey.
Organization & Team Overview
The Credit, Collections & Fraud (CCF) team focuses on identifying, reporting, and reducing financial losses tied to consumer credit or fraudulent activity for our Xfinity Core and Xfinity Mobile products. Daily tasks are research oriented with a focus on discovering and then communicating trends. Post discovery, the team shares findings with appropriate partners, such as security or legal. Flexibility and communication are essential, as priorities are dynamic on the team. Ongoing projects include supporting fraud and credit functions of products post launch, fraud & credit trend root cause analysis (RCA) & enhancing process documentation. Internally, the Co-op will rotate between various functions on the CCF team. Other Comcast matrix partners include Legal, Security, Product Owners, Tech & Sales. The Co-op will provide a unique perspective as they will be closely connected to the broader team strategy and day to day investigation operations.
Role Description
As the Fraud & Credit Risk Management Co-op on the CCF team, you will support various projects between the CCF groups. There is a mix of cadenced and ad hoc analysis, so there is a balance of both consistency and variety. Cadenced reporting includes weekly credit operations monitoring, bi-weekly buy flow performance updates, and monthly retail outlier reporting. This reporting is meant to capture any anomalous activity, allowing the team to detect fraud trends to drive process enhancements.
What are some interesting problems the student will work on?
The co-op will analyze outlier data in Excel and Tableau to discover fraud & credit trends. From there they assemble a narrative on the situation they've discovered. They will uncover the trend & then partner with their manager to develop the story. Then they will share the completed story with the appropriate matrix partners such as security, legal or other compliance organizations within Comcast. By piecing the story together, they are driving data-based decision making. In addition to analyzing data and developing action plans, the co-op will have the opportunity to make an impact on the department by evaluating manual / minimally efficient processes and work to maximize efficiency by automation. Inclusive of this is helping to determine things like level of effort and ROI analysis to truly help drive process efficiencies.
Where can this student make an impact?
You will be close to projects that connect to various portions of our fraud & credit processes. The team discovers gaps & then pitches both short term and long term data driven solutions to resolve issues. Since the co-op will rotate between the teams, they are uniquely positioned to discover process overlaps, allowing for team efficiency gains. Ideally, the coop will discover and pitch at least 1 automation initiative & then partner with their manager and tech to see their project through implementation.
Job Responsibilities
Responsibilities include but are not limited to :
Preferred Skills
Minimum Qualifications and Eligibility Requirements
Skills
Accountability, Communication, Professional Etiquette, Relationship Building, Resilience, Teamwork
Compensation
Base Pay : $26.00
The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.
Credit Risk Management • Philadelphia, PA, US