👀 Дизайнеры, какая команда подходит вам по вайбам? Проверяйте на Вайб-чеке→ vibe.habr.com

Risk analyst


от 150 000 до 200 000 ₽

Местоположение и тип занятости

МоскваПолный рабочий деньМожно удаленно


Finstar is an international FINTECH holding operating in Europe, the US, Asia, Latin America and the CIS.

Описание вакансии

Условия работы

Your role includes:

· Building credit and fraud scoring models and other types of models (e.g. propensity to buy, collection, best next offer etc.) to drive growth and improve efficiency of the processes across the company

· Continuous optimization and automation of business processes and decision-making strategies

· Understanding and developing key metrics to assess the performance of risk strategies and business processes


What will you have once you are with us:

  • You’ll be working with a team of highly skilled and highly engaged professionals. Our team members have experience working for leading consultancy companies and international banks in Russia and abroad
  • You’ll live and work in the fast growing financial and industrial hub of Southeast Asia. Our office is in a green expat area with a lot of facilities around
  • We have flat hierarchy and open communication
  • You will help foster a data-driven mindset across the company, ensuring that data is at the heart of every decision we make.
  • Extended medical insurance is provided, and relocation expenses are reimbursed by the company

Дополнительные инструкции

Your profile:

· Bachelor’s/Master’s degree in a quantitative discipline such as statistics, mathematics, econometrics, economics, operations research, computer science

· Good knowledge of analytical software and/or working knowledge of scripting languages (e.g. Python).

· Experience working with large data sets and using predictive analysis/modelling to drive business results

· Experience with databases (SQL or NoSQL) and MS Excel skills

· You are organized, detail-oriented, self-motived and creative professional

· Some experience in credit risk modelling (scorecards, vintage analysis, decision trees, roll rate analysis) or similar analytical role (e.g. recommender systems etc.) is desired but not mandatory