Data Scientist

Overview

Continental Finance Company is a fast-expanding financial technology organization focused on both marketing and servicing credit card products for consumers who may have less-than-perfect credit. The company is looking for a Data Scientist to join its Data Science team and contribute to the development of models, strategies, and operating standards that support credit card portfolio decisions and risk analysis.

What You'll Do

• Create and refine high-quality analytical models that support business and risk decisions.
• Build market intelligence tools and applications that help teams make informed choices.
• Work closely with the Risk Management team to close open issues and prepare supporting documentation efficiently.
• Evaluate and experiment with new statistical tools and software packages.

Required Background

The role calls for a Master’s degree in Data Science, Statistics, Applied Mathematics, or a related discipline. The ideal candidate should have strong command of classical statistical methods such as linear regression and maximum likelihood regression, along with advanced experience in machine learning and AI approaches including CART, Random Forests, and XGBoost.

Hands-on experience building sophisticated data models in Python is required, as is experience creating data visualizations and performing analysis in Tableau and SQL. Candidates should also be comfortable writing SQL queries for data aggregation and reporting. Strong written and verbal communication skills are needed to present findings clearly to stakeholders and leaders at all levels.

About the Company

Continental Finance Company is recognized as one of the leading marketers and servicers of credit cards for consumers with challenged credit histories. Founded in 2005, the company emphasizes customer care, responsible business practices, and fair treatment. Its consumer marketing and servicing platform supports a wide range of offerings for customers that traditional financial institutions may not serve. The organization has managed and serviced more than 2.6 million credit cards since its founding and operates as a financial technology company rather than a chartered bank, debt originator, or credit card issuer.

Work Arrangement

This position follows a hybrid schedule with three in-office core days each week, scheduled for Tuesday, Wednesday, and Thursday, and two remote workdays on Monday and Friday.

Equal Opportunity

The employer is committed to equal employment opportunity and inclusion. Hiring decisions are made without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or veteran status.

Compensation and Benefits

The company states that employees receive competitive pay and benefits in a business-casual, fast-moving environment. Specific salary details were not provided.