Lead Software Engineer - Data Collection
CyberCubeFull Time
Expert & Leadership (9+ years)
Candidates should have 4 years of experience in an analytical role focusing on collections, risk, or recoveries. Strong SQL skills and experience with large datasets, including external data integrations and log consumption, are required. Familiarity with collections typologies, dashboarding and visualization tools, and strong analytical, investigative, and problem-solving skills are necessary. The role also requires excellent communication skills and comfort in a fast-paced startup environment.
The Risk Data Analyst will design, build, and maintain portfolio performance dashboards, perform deep-dive analyses on delinquency and repayment behaviors, and partner with Product and Engineering to design and test collections process automation. They will also support collections model development, forecast collections losses and delinquency rates, and assist in designing and maintaining scalable data pipelines. Collaboration with cross-functional teams to strengthen collections performance and stay current on industry trends is also a key responsibility.
Designs and manages co-branded credit card programs
Imprint designs and manages co-branded credit card programs for well-known American brands. By partnering with these brands, Imprint creates credit cards that attract modern consumers, aiming to enhance the value of their partners' customer relationships. The company focuses on increasing metrics such as average spending, shopping frequency, and annual sales for cardholders. Imprint's process is notably faster than traditional credit card issuers, allowing them to launch new programs in about three months instead of the typical 18 months. Additionally, Imprint prioritizes customer service, offering a premium experience to cardholders. The goal of Imprint is to provide brands with effective credit card solutions that drive customer loyalty and sales.