Назад
7 дней назад

Big Data Scientist (Fintech)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b1
Страна
Kazakhstan
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Описание вакансии

Текст:
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TL;DR
Big Data Scientist (Fintech): Developing an automated corporate lending platform with an accent on ML-based credit scoring, predictive analytics, and credit risk assessment. Focus on building application and behavioral scoring models, developing PD models, validating model performance, and working with large-scale financial datasets.

Location: On-site at the employer's location in Kazakhstan; the posting mentions Astana and an address in Almaty. The title references Tashkent.

Company

Andersen is an outsourcing company delivering technology projects for international businesses, including fintech, healthcare, retail, and telecom 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.
  • Implement ML-based credit scoring, a decision engine, and analytics to improve credit risk assessment and accelerate loan approvals.
  • Work with high-load, distributed, cloud-based platforms and large volumes of data.

Requirements

  • At least 5 years of experience as a Data Scientist.
  • Experience with banking products and the fintech industry.
  • Hands-on experience with Python and PySpark.
  • Experience developing application and behavioral credit scoring models and Probability of Default (PD) models.
  • Understanding of PD, LGD, and EAD metrics and their use in Expected Credit Loss (ECL) calculations under IFRS 9.
  • Experience working with large-scale datasets and strong SQL skills.
  • Experience validating models using Gini, KS, PSI, and backtesting.
  • English at Intermediate+ level or above.

Nice to have

  • Experience with corporate credit scoring, financial statements, and external data sources such as credit bureaus and tax authorities.

Culture & Benefits

  • Opportunities to work with leaders and businesses across fintech, healthcare, retail, telecom, and other industries.
  • Possibility to change projects and develop expertise in a different business domain.
  • Mentoring, onboarding, professional development, and career growth programs.
  • Up to an additional 1,000 USD per month based on expertise, included in the annual bonus, for participation in company activities.
  • Corporate training portal, certification compensation, private health insurance, sports compensation, referral program, and corporate events.

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