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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, metro location, broad data skillset and generic associate title increase candidate competition.
Core data engineering and analytics skills transfer across industries, though lender finance domain knowledge is beneficial.
Multiple mandatory technical skills (Python, SQL, ETL, BI, AI/ML) increase filtering but no explicit years specified.
Job Description
Structured overview of role & requirementsAbout This Role
Perform data analysis and asset due diligence for deal underwriting using advanced analytics and AI tools.
Monitor deals throughout transaction life by analyzing and reconciling data from multiple sources to identify performance trends and risks.
Develop and maintain automated dashboards, monitoring tools, and reporting solutions to provide actionable portfolio insights and support data-driven underwriting and risk management.
Minimum Requirements
Strong technical and quantitative background from a top-tier engineering school.
Proficiency in Python, SQL, MS Excel, VBA; knowledge of ETL tools (Power Query) and dashboarding tools (Power BI/Tableau).
Exposure to AI/ML, predictive analytics, data automation, and large-scale data processing.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Candidate thrives in fast-paced, challenging environments with a focus on continuous learning and emerging technology adoption.
Experienced in leveraging AI tools responsibly to enhance productivity and optimize workflows.
Strong analytical skills with capability to synthesize complex asset-level data into holistic performance insights to support decision-making.