Remote Data Scientist (Credit Risk)

Full Time
Remote
Posted
Job description

Piper Companies is seeking a Remote Data Scientist (Credit Risk) to join one of the nation’s premier credit unions. The Data Scientist will support the end-to-end development and implementation of credit policy and credit risk monitoring and analysis in the Consumer Lending space.


Responsibilities of the Data Scientist include:

  • Drive monitoring and analyses of credit risk for both organic and acquired portfolios, prepare related management reporting packages, and provide insights on root causes, emerging credit trends, and implications on Allowance for Loan Losses.
  • Perform business line program deep dive and monitoring on credit policy change to drive credit policy optimization and risk mitigation strategies, inform corporate strategic decisions, enable better member experience, and improve efficiencies.
  • Provide ongoing or ad-hoc risk analytics to support credit or new product expansion.
  • Collaborate with modeling team to build/manage risk models using both internal and external data sources, conduct risk drivers’ analysis and build and implement valuations models.
  • Identify required data and work with data stewards to understand data source, ensure data quality and retrieve data on a timely basis.


Qualifications for the Data Scientist include:

  • 1+ years of experience as a Data Scientist in a Banking or Financial Services environment
  • Experience creating risk models and being hands-on with SQL, Tableau, and Excel
  • A Master’s degree in Math, Statistics, Economics, Computer Science, or another quantitative field is preferred

Compensation for the Data Scientist includes:

  • Salary Range: $110,000-$130,000
  • Full benefits: PTO, Paid Holidays, Cigna Healthcare, Dental, Vision

Keywords:

Data science, risk data science, data scientist, aws, amazon web services, credit cards, credit, sql, python, engineering, data, data science, product, R, tableu, banking, work from home, remote, finance, risk model, regression, modeling, risk drivers, valuation models, analytics, loan loss, credit policy, analyst, data analyst

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