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19 часов назад

Data Scientist (Fintech)

Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
Philippines
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Data Scientist (Fintech): Developing and maintaining production-grade fair value models for lending portfolios with an accent on quantitative finance, statistical modeling, and spread estimation. Focus on translating valuation concepts into robust Python implementations and ensuring model explainability in a regulated banking environment.

Location: Manila (One Ayala Tower 2)

Company

hirify.global is a digital bank that empowers people to stay a step ahead in life and business through technology, data, and innovation.

What you will do

  • Develop and maintain Python-based model code, data transformations, and monitoring pipelines.
  • Implement regression-based and statistical models for spread estimation and proxy modelling.
  • Translate quantitative valuation concepts into maintainable production implementations.
  • Collaborate with Java and DevOps engineers to integrate valuation logic into downstream systems.
  • Ensure model outputs are explainable, traceable, and compliant with regulatory standards.
  • Conduct model monitoring, performance analysis, and investigate production issues.

Requirements

  • MSc or PhD in Data Science, Statistics, Econometrics, Quantitative Finance, Mathematics, or Computer Science.
  • Strong Python engineering experience for production-grade implementations.
  • Deep knowledge of statistics, regression, and time-series or panel-data methods.
  • Experience developing and monitoring predictive or explanatory models in production.
  • Ability to work in a regulated environment with strict controls and reproducibility.
  • Strong communication skills for collaborating across technical and non-technical stakeholders.

Nice to have

  • Experience in banking, lending, risk, or valuation use cases.
  • Familiarity with discounted cash flow (DCF) methods and spread-based discounting.
  • Working knowledge of Java and DevOps practices (CI/CD).
  • Experience collaborating with model validation or audit stakeholders.
  • Ability to mentor junior colleagues and contribute to technical direction.

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