Senior Data Scientist: Credit Risk & Fraud Analytics

Danology

Greenville (SC)

Hybride

USD 115 000 - 125 000

Plein temps

Il y a 9 jours

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Avantages offerts par ce poste

Health insurance
401(k) match
PTO 15 days
Paid holidays 10
Training budget
Home office stipend
Company laptop

Résumé du poste

Danology, based in Greenville, SC, seeks a Senior Data Scientist to lead end-to-end data science engagements in financial services, including credit risk, fraud detection, and customer analytics. You will own client engagements from scoping to delivery and mentor junior data scientists.

The role is hybrid in Greenville with exposure to cutting-edge modeling techniques, collaboration with technical teams, and direct presentation to client executives.

Qualifications

  • 5+ years of data science experience, including 2–3 years working with financial services data.
  • Strong Python (pandas, scikit-learn, XGBoost/LightGBM) and SQL; R is a plus.
  • Experience deploying models on AWS or Azure.
  • Working knowledge of credit products and relevant regulations (e.g., fair lending, model governance).
  • Ability to work directly with clients and lead projects with minimal supervision.
  • Master’s or PhD in a quantitative field preferred; equivalent experience will be considered.

Responsabilités

  • Lead data science delivery on client engagements from scoping to delivery.
  • Manage typically 1–2 engagements at a time.
  • Build, validate, and deploy credit risk models (PD, loss forecasting, scorecards).
  • Build, validate, and deploy fraud detection models (transaction monitoring, real-time detection).
  • Build, validate, and deploy customer analytics models (segmentation, churn, next-best-offer).
  • Translate business needs into modeling problems and communicate tradeoffs to clients.
  • Produce documentation for model risk management (SR 11-7 or similar).
  • Present results to client executives and technical teams.
  • Mentor 2–3 junior data scientists.

Connaissances

Python
SQL
R

Formation

Master's or PhD in a quantitative field

Outils

AWS
Azure
Spark
Databricks

Description du poste

Danology, based in Greenville, SC, seeks a Senior Data Scientist to lead end-to-end data science engagements in financial services, including credit risk, fraud detection, and customer analytics. You will own client engagements from scoping to delivery and mentor junior data scientists.

The role is hybrid in Greenville with exposure to cutting-edge modeling techniques, collaboration with technical teams, and direct presentation to client executives.

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