Position Title: Data Scientist Lead

Position Location: Chicago IL, Pittsburgh, PA, Wilmington, DE - Hybrid (3 days a week in office, 2 remote)

Intended length of Assignment: 6 Months Possibility of extension/contract to hire

Only W2

Industry background:

Required: Data Analytics in consumer lending strategy, preferably with a big bank.

Highly preferred: Consumer or Business Credit Card Decision Science experience

Roles and Responsibilities:

Work closely with the product team to lead various analytical projects, leading other analysts, creating PowerPoint decks, immersed with data

Must-Have Technical Skills:

• Tableau, Python/PySpark (one or the other), experience using statistical analysis, MS Office (specifically PowerPoint)
• Experience working in the Decision Science function of a mid-to-large bank or a Fintech lender – building strategies for originating new loans/credit cards; and/or building strategies for managing an existing portfolio of loans/credit cards.
• Strong familiarity with credit bureau attributes and internal risk/return metrics of a consumer lending product (preferably credit card)
• Experience working in a fast-paced environment partnering with various stakeholders (e.g. Product and Credit Risk teams) to simultaneously manage multiple ongoing changes in lending strategies.
• Expertise in querying, analyzing and synthesizing large consumer lending datasets that provide credit profiles of various account origination vintages along with their performance from a delinquency, loss, and revenue standpoint.
• Should bring to the table expertise in consumer lending (preferably credit card) performance data analysis along with a foundational knowledge of Machine Learning techniques – should have willingness and curiosity for continuous learning.
• Strong experience in simplifying complicated information coming in from large datasets in order to enable decision-making – should have experience in visualizing complex concepts using PowerPoint and Tableau
• Expertise in producing clean and well-formatted work sets that enable efficient review and feedback by stakeholders.
• Experience reviewing the work of junior analysts and providing feedback.

Flex Skills/Nice to Have: Machine Learning

Soft Skills: strong analytical skills, good communication both written and verbal, strong leadership experience, good team player, problem-solving mentality

Education:

Bachelor's degree required - masters preferred - preferably in a analytical field

No certifications

Role Differentiator: an opportunity for growth, the strong opportunity to grow in the consumer lending space, especially credit card

Interview Process: 2-step ITV with HM and HM's manager