Data Scientist
Core
Develop and validate robust analytical solutions, including statistical models and machine learning techniques, to predict and manage consumer behavior and enhance credit risk models.
Role type
Data Scientist (Credit Risk & Analytics)
Builds
Credit risk models (application, behavioral, collection scoring), risk assessment frameworks, and proof-of-concept projects for clients.
Domain
Financial Services / Credit Risk / Machine Learning
Deliverable
production ML models
Required skills
Statistical inference, optimization algorithms, linear algebra, calculus, regression analysis, machine learning, Python or C++ programming, large dataset analysis
Preferred skills
Tableau, Power BI
Technologies
Python, C++, Tableau, Power BI
Responsibilities
Develop, validate, and maintain credit risk models; Utilize machine learning to enhance traditional models; Work with large, complex datasets to extract insights; Evaluate model performance and present results to stakeholders; Produce ad-hoc analysis on developed models; Work on proof-of-concept projects; Research and develop new advanced analytics solutions.
Seniority
Mid-level (3+ years experience)
