NinjaHoldings is hiring a
Credit Risk Analytics Manager in United States

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Credit Risk Analytics Manager
🏢 NinjaHoldings
💵 ~$70k-$98k
📍United States
📅 Posted on Jul 4, 2024

Summary

NinjaHoldings is seeking an experienced analytics leader to join their Risk & Analytics team. The hire will develop credit risk strategies for new lending products, optimize portfolio performance, work with cross-functional teams, and communicate business strategies to senior management.

Requirements

  • Bachelor's degree in a quantitative discipline required (e.g., math, statistics, analytics, quantitative finance, engineering, or other quantitative fields)
  • 5+ years of experience with data analytics in Credit Risk, supporting risk strategies for consumer lending products
  • Established experience with relational databases and SQL
  • Programming experience with Python
  • Strong quantitative and problem-solving skills with key attention to detail
  • Experience supporting and working with cross-functional teams in a dynamic environment
  • Excellent communication skills and ability to interface with business units and senior leadership (C-suite) across the organization
  • Ability to effectively manage multiple cross-functional projects with tight deadlines

Responsibilities

  • Develop and own credit risk strategy for new lending products and continuously iterate to improve approval criteria, credit limit assignment strategies and performance
  • Establish performance metrics, develop automated reporting dashboards using SQL and Python to monitor portfolio performance
  • Conduct analysis using advanced data analytics to evaluate trends in portfolio performance and provide recommendations to optimize portfolio risk based on company targets
  • Work with cross-functional teams to explore new ways of finding insights from data, identify patterns and trends, and make recommendations to senior management
  • Design A/B testing strategies for underwriting experiments, evaluate impact and provide recommendations
  • Work with external vendors to prioritize and manage product evaluation and data studies

Preferred Qualifications

  • Advanced degree in a quantitative discipline (e.g., math, statistics, analytics, quantitative finance, engineering, or other quantitative fields)
  • Experience working with specialty finance or FinTech

Benefits

  • Competitive salary and benefits package
  • Flexible, remote work
  • Fun, fast-paced work environment
  • Dynamic start-up culture
  • Convenient downtown Chicago office located in the heart of the city
  • Equal opportunity employer
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