Related skills
nlp sql python scala spark📋 Description
- Lead and execute fair lending analytics across credit decisioning and marketing.
- Perform statistical analyses to assess disparate impact, bias, and fairness.
- Evaluate model inputs, features, and outputs for fair lending risks.
- Partner with MRM leadership and Validation; align with stakeholders.
- Validate high-risk AI/ML models as part of model risk management.
- Translate analytic results into actionable insights for Risk, Legal, Compliance, and leadership.
🎯 Requirements
- Advanced degree (MS/PhD) in Statistics, Math, Economics, CS, or related field.
- 5+ years in fair lending analytics, model development, or validation.
- 5+ years with Python, SQL, Spark and/or Scala.
- 5+ years ML methods (GBM, XGBoost, NLP).
- Excellent stakeholder management, communication, and writing.
- Team player willing to help and share.
🎁 Benefits
- Inclusive culture with employee resource groups.
- Equal Opportunity Employer.
- Supportive environment with opportunities to share perspectives.
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