Data Scientist

Continental Finance Company

$90K — $120K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's Degree in Data Science, Statistics, Applied Mathematics, or a 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 required.
  • Experience in developing complex data visualizations and queries using Tableau and SQL.
  • Excellent written and verbal communication skills, capable of conveying information clearly to all management levels.

Responsibilities

  • Develop and design best-in-class predictive models.
  • Create market intelligence applications to enhance decision-making capabilities.
  • Collaborate with Risk Management to address outstanding issues efficiently.
  • Conduct tests on new statistical tools and packages.
  • Analyze and report various risk metrics related to credit card products.

Benefits

  • Hybrid work schedule with core in-office days and remote work flexibility.
  • Commitment to a diverse and inclusive workplace environment.
  • Opportunities to work with innovative technology in a fast-paced environment.
  • Focus on employee growth and development.
  • Strong emphasis on corporate responsibility and customer-first culture.
Full Job Description
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.
  • Experience writing SQL queries for data aggregation and analysis.
  • Excellent communication skills, written and verbal, with the ability to clearly communicate to all levels of management.


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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