Description

You will build data-driven solutions by analyzing complex loan datasets and designing the underlying data architecture.

This role is hybrid.

Responsibilities

• Collect, process, and analyze large loan datasets from various sources.
• Design, develop, and maintain data pipelines and architectures for analysis and modeling.
• Develop and maintain databases and data systems to support loan data analysis.
• Communicate complex loan data insights and model results to non-technical stakeholders.
• Explore new technologies to enhance existing loan data solutions.

Required Skills

• 3+ years of relevant work experience in data science or analytics.
• Proficiency in Python, R, and SQL.
• Experience with statistical techniques and data visualization tools such as Sigma, Tableau, or Power BI.
• Familiarity with machine learning concepts and loan data analysis.
• Strong analytical and problem-solving skills.
• Experience with data visualization tools such as Sigma, Tableau, or Power BI.
• Familiarity with databases and data systems.
• Experience with cloud computing platforms.

Preferred Skills

• Master's or Ph.D. in a quantitative field.

Key Skills

Education

Any Graduate