Required skills and experience:
Experience in retail credit risk or fraud prevention for at least 2 years
Expert understanding of financial products, loan portfolio management and credit risk
Hands-on experience in designing lending processes, credit risk strategies and policies
Expert use of SQL
Bachelor’s or Master’s degree in mathematics, physics, engineering or computer science
Fluent English: excellent verbal and written communication
Excellent communication skills
As a plus:
Experience with Big Data platforms (GCP, AWS)
Skills in machine learning\data science
Use of environments for statistical computation and data analysis (R or Python)
Responsibilities:
As a member of highly skilled Data Science team, you will participate in innovative algorithms development; optimization of businesses across all world continents, consulting; development of state-of-the art software in fast-growing fintech sector; with unique opportunity to collaborate in both research and production-level projects.
We offer:
Attractive salary and good opportunities for career and personal development
Compensation package
Good opportunities for career and personal development
Project description:
We specialize in advanced software fields such as BI, Data Mining, Artificial Intelligence, Machine Learning (AI/ML), High Speed Computing, Cloud Computing, BIG Data, Predictive Analytics, Unstructured Data processing, Finance, Risk Management and Security.
Depending on the project, it can be consulting in data analysis and risk management, with customers geography stretching all over the world or creation of extensible decision engine services, data analysis and management solutions, real-time automatic data processing applications.
If you are excited about development of artificial intellect, behavior analysis data solutions, big data approach then we can give you an opportunity to reveal your talents.