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Data Scientist

Continental Finance Company
Posted 17 days ago, valid for 17 days
Location

Wilmington, DE 19895, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • Continental Finance Company is seeking a Data Scientist to join their Data Science team in Wilmington, Delaware.
  • The role involves developing models and strategies for credit card products, as well as analyzing and reporting various risk metrics.
  • Candidates must have a Master's Degree in Data Science or a related field, along with expert knowledge in statistical techniques and machine learning methods.
  • Experience in Python for data modeling and proficiency in Tableau and SQL for data visualization are also required.
  • The position is full-time, offers a hybrid work schedule, and competitive compensation, targeting experienced professionals.

Come join a growing financial technology company that’s leading the marketplace in both the marketing and servicing of credit cards! Continental Finance Company specializes in credit card options for those consumers with less than perfect credit. We are seeking a Data Scientist to support our Data Science team.


The Data Scientist is responsible for the development of models, strategies, and operational guidelines for the organization's various credit card products as they relate to the analysis, tracking, and reporting of various risk metrics.

 

Essential Functions:

  • Develop and design best in class models.
  • Develop and design best in class market intelligence applications that support decision making.
  • Collaboration with Risk Management to resolve outstanding issues and support documentation quickly and efficiently as required.
  • Test new statistical tools and packages.

 

The ideal candidate will have the following:

  • Master’s Degree in Data Science, Statistics, Applied Mathematics, or related field required.
  • Expert knowledge of classical statistical techniques such as linear regression and maximum likelihood regression.
  • Expert knowledge of machine learning and AI methods including CART, Random Forests and XGBoost.
  • Experience in creating complex data models using Python is required.
  • Experience in creating complex data visualizations and queries using Tableau and SQL.
  • Excellent communication skills, written and verbal, with the ability to clearly communicate to all levels of management.



Why Continental Finance?

Continental Finance Company (the “CFC”) is one of America’s leading marketers and servicers of credit cards for consumers with less-than-perfect credit. Since our founding in 2005, we have prided ourselves on corporate responsibility to customers in terms of a strong customer support program and fair treatment.  With our success, we have also grown into an innovative financial tech company! With a state-of-the-art consumer marketing and servicing platform, we provide a variety of services to consumers when other financial institutions will not accommodate them. With more than 2.6 million credit cards managed and serviced since our founding, we pride ourselves on putting the customer first. We are not a chartered banking financial institution, nor are we a debt originator or a credit card issuer.

 

CFC is an equal opportunity employer that is committed to inclusion and diversity. Our company provides equal employment opportunity (EEO) regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or veteran status.


CFC is seeking bright, energetic individuals that will help us grow and develop together! We uphold a promise to treat our employees with the same care and concern as we do our customers. We offer all employees competitive compensation and benefits in an exciting, fast-paced business casual environment. Join our growing team and apply online today!

 

 

CFC offers a hybrid work schedule which includes three (3) core days in the office (Tuesday, Wednesday, and Thursday) and two (2) remote workdays (Monday and Friday)



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Location

Wilmington, Delaware (Hybrid)

Department

Data Science

Employment Type

Full-Time

Minimum Experience

Experienced




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