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11 часов назад

VP, Modeling & Data Science (Fintech)

240 000 - 270 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
c_level
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
VP, Modeling & Data Science (Fintech): Setting enterprise modeling strategy and leading advanced credit, fraud, marketing, pricing, and operational decisioning models with an accent on AI/ML innovation, model governance, and scalable ML platforms. Focus on building future-ready modeling infrastructure, integrating emerging data sources, and leading complex quantitative and regulatory work across consumer lending and banking.

Location: San Francisco, United States; hybrid work model with in-office attendance on Tuesdays, Wednesdays, and Thursdays. Remote placement is not considered. Primarily PT working hours. Monthly, quarterly, or as-needed travel may be required. Relocation is offered based on the actual job level.

Salary: $240,000–$270,000 annual base salary, plus potential equity and annual bonus.

Company

hirify.global provides consumer financial services, including personal loans, auto finance, purchase finance, and deposit products, with a focus on fairness, simplicity, and a mobile-first customer experience.

What you will do

  • Set the enterprise modeling strategy across credit underwriting, fraud detection, marketing targeting, pricing, and operational decisioning.
  • Lead the innovation, development, deployment, enhancement, and governance of statistical, machine learning, and AI models.
  • Partner with Technology to scale the machine learning platform for experimentation, deployment, and monitoring.
  • Lead and develop a team of 6–10 modeling and data science professionals.
  • Collaborate with Credit Strategy, Marketing, Risk, Operations, Engineering, Compliance, and Model Risk Management.
  • Represent the modeling function with senior leadership, the board, industry forums, and regulators.

Requirements

  • 15+ years of relevant business experience, including significant experience in consumer lending.
  • 10+ years of people management experience leading modelers, data scientists, or analytical teams.
  • Hands-on expertise in predictive modeling, advanced data mining, machine learning, and deep learning methods.
  • Proficiency with TensorFlow, PyTorch, NumPy, scikit-learn, and pandas.
  • Experience scaling enterprise-level ML platforms and understanding credit, fraud, model governance, validation, and regulatory compliance.
  • Bachelor’s degree or higher, or an equivalent combination of education and experience.

Nice to have

  • Experience with consumer credit portfolios, decision science, or risk management in banking.
  • Hands-on experience developing credit and fraud functions in a regulated banking or fintech environment.

Culture & Benefits

  • Hybrid environment designed to support in-person collaboration.
  • Medical, dental, and vision coverage for employees and families.
  • 401(k) match, health and wellness programs, and flexible time off for salaried employees.
  • Up to 16 weeks of paid parental leave.
  • Potential long-term awards and annual performance-based bonus.

Hiring process

  • For select roles and locations, interviews may be recorded, transcribed, and summarized using AI tools.
  • Candidates may opt out of interview recording, transcription, and summarization before scheduled interviews.

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