Назад
6 дней назад

Big Data Scientist (Fintech)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Uzbekistan
hhВакансия с HeadHunter. Контакт ведёт на hh.ru

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Описание вакансии

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TL;DR
Big Data Scientist (Fintech): Developing credit scoring and predictive analytics models for an automated corporate lending platform with an accent on application and behavioral scoring, Probability of Default models, and large-scale data processing. Focus on applying PD, LGD, and EAD metrics in IFRS 9 Expected Credit Loss calculations, validating models with Gini, KS, PSI, and backtesting, and improving credit risk assessment.

Location: Tashkent, onsite at the employer's location

Additional compensation: up to $1,000 per month depending on expertise, included in the annual bonus.

Company

International software development and IT outsourcing company delivering high-load, distributed, cloud-based platforms and business solutions for major organizations.

What you will do

  • Develop credit scoring and predictive analytics models for corporate borrowers.
  • Contribute to an automated corporate lending platform for businesses and individual entrepreneurs.
  • Support ML-based credit scoring, decision-engine development, underwriting optimization, and credit risk assessment.
  • Process and analyze large-scale datasets using distributed data technologies.

Requirements

  • 5+ years of experience as a Data Scientist.
  • Experience with banking products and the fintech industry.
  • Strong Python, PySpark, and SQL skills.
  • Experience developing application and behavioral credit scoring models and Probability of Default (PD) models.
  • Knowledge of PD, LGD, and EAD metrics and their application in Expected Credit Loss calculations under IFRS 9.
  • Experience working with large-scale datasets.
  • Experience in model validation, including Gini, KS, PSI, and backtesting.

Culture & Benefits

  • Full-time onsite work in Tashkent.
  • Opportunity to change projects and develop expertise in different business domains.
  • Mentoring and onboarding systems with opportunities for professional, financial, and career growth.
  • Corporate training portal with an continuously updated knowledge base.
  • Certification compensation, including AWS and PMP certifications.
  • Private health insurance, sports activity compensation, referral program, and corporate events.

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