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Model Validation Specialist - Remote

Posted 14 weeks ago
Data Analysis
Full Time
Worldwide

Overview

Oportun is a mission-driven fintech that empowers its members with intelligent borrowing, savings, and budgeting capabilities, helping them build a better financial future.

In Short

  • Work on statistical modeling and machine learning for various financial applications.
  • Conduct independent reviews and testing of models.
  • Produce high-quality model validation reports.
  • Communicate findings to business audiences.
  • Collaborate with business owners and developers.
  • Stay updated with regulatory expectations.
  • Support model risk management framework.
  • Develop partnerships with key stakeholders.
  • Attention to detail in analytics and documentation.

Requirements

  • Master’s degree or PhD in a quantitative discipline.
  • 3+ years of experience in statistical modeling.
  • 3+ years of experience with Fair Value Loan Loss Estimate process.
  • 1+ year of experience with machine learning methodologies.
  • 3+ years of programming experience with Python, SQL, Spark, or Scala.
  • 3+ years in financial risk model development or validation.
  • Excellent writing and communication skills.
  • Good team player.

Benefits

  • Diverse and inclusive work culture.
  • Opportunities for professional growth.
  • Collaboration with various teams.
  • High visibility in the role.
Oportun logo

Oportun

Oportun is a forward-thinking financial technology company dedicated to empowering individuals with innovative software solutions that enhance their financial independence. The engineering team at Oportun plays a crucial role in designing, developing, and maintaining high-quality software applications that support the company's mission. With a focus on collaboration and agile methodologies, Oportun's engineers are committed to delivering elegant and intuitive systems that improve member experiences. The company values creativity and continuous improvement, striving to create a fun and rewarding work environment while tackling complex technical challenges to drive business growth.

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