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Senior Manager, Credit Analytics

Leads credit analytics, valuation modeling, forecasting, and cross-functional initiatives in AI lending. Requires 8+ years experience, quantitative degree, and proficiency in Python, R, SQL, and data tools.

182k – 253kUnited StatesData AnalyticsRemote8+ YOE

About the role

Responsibilities

  • Partner with Data Analytics, ML, Product, Engineering, and Finance to shape credit metrics, narratives, financial forecasts, and platform consensus.
  • Influence credit platform and investor decisions with insights on ML models, credit, and valuation.
  • Lead analytics on underwriting, credit monitoring, model impacts, asset forecasting, and valuation modeling to analyze trends and anomalies.
  • Develop forecast pipelines and automated reporting for credit intelligence.
  • Mentor junior team members and foster excellence in data, credit, and analytics.

Minimum Qualifications

  • 8+ years professional experience with growth and leadership in technology/financial industry.
  • Experience developing credit analytics, financial forecasting, or quantitative risk models with Python, R, SQL.
  • Experience with large datasets, data modeling, pipelines using Databricks, DBT, Looker, Snowflake, Redshift.
  • Degree in Quantitative Finance/Economics, Statistics, Engineering, Data Science, or quantitative field.

Preferred Qualifications

  • Collaborative work with Finance, Product, Data Engineering, ML teams.
  • Executive narratives using Tableau, PowerBI, Looker for C-level influence.
  • SOX or regulatory reporting experience.
  • Consumer lending strategy or credit capital markets experience.
  • Mentoring junior team members.

Skills

PythonRSQLDatabricksdbtLookerSnowflakeRedshiftTableauPowerbi

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