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5 дней назад

ITP Trainee in Risk Hub Model Development (Fintech)

8 900PLN
Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
Poland
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

ITP Trainee in Risk Hub Model Development (Fintech): Researching and developing advanced credit and ESG risk models to estimate risk levels with an accent on quantitative analysis and statistical methods. Focus on designing modelling decisions, coding in SAS/R/Python, and interpreting results for regulatory and non-regulatory risk frameworks.

Location: Must be based in Warsaw, Poland (onsite)

Salary: 8 900 PLN

Company

hirify.global is a global financial services organization focusing on risk model development and innovation in ESG/Climate risk.

What you will do

  • Research modelling methods and data for credit, climate, and ESG risk purposes.
  • Analyze and determine the most efficient modelling decisions.
  • Develop code to estimate risk levels using SAS, R, or Python.
  • Document analyses and interpret results.
  • Assist in creating learning materials and conference presentations.

Requirements

  • Academic degree in a quantitative field.
  • Strong knowledge of statistics, econometrics, and probability theory.
  • Proficiency in coding with SAS, R, or Python.
  • Experience with databases, data preparation, and quality control.
  • English: B2/C1 level required.
  • Location: Must be based in Warsaw, Poland.

Nice to have

  • Knowledge of Credit Risk, ESG, and Physical/Transition Climate risk.
  • Familiarity with Machine Learning methods.
  • FRM/SCR certification or interest in obtaining it.
  • Experience with version control systems.
  • Familiarity with Agile/Scrum methodologies.

Culture & Benefits

  • Work within a center of excellence for risk modelling.
  • Agile and Scrum environment with a focus on autonomy.
  • Opportunity to work on innovative ESG/Climate risk projects.
  • Exposure to both regulatory and non-regulatory models.

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