Position: Data scientist
Company: Aventus Group Ukraine
Experience required: 3y
English level: intermediate

**Responsibilities:**
•	Building and implementation of scoring models (application, fraud, behavioral, others).
•	Optimization and automation of existing business processes and decision-making strategies to drive business growth and profitability.
•	Development of key metrics to evaluate efficiency of implemented risk strategies.
•	Analysis of new data sources and their applicability in decision-making strategies.
•	Launch and support of new projects, pilots in terms of credit risks.
•	Fraud investigation activities. Development and implementation of anti-fraud strategies.
•	Credit portfolio and risk analysis, recommending corrective actions. Ad-hoc risk reporting.
•	Building and implementation of scoring models (application, fraud, behavioral, others).
•	Optimization and automation of existing business processes and decision-making strategies to drive business growth and profitability.
•	Development of key metrics to evaluate efficiency of implemented risk strategies.
•	Analysis of new data sources and their applicability in decision-making strategies.
•	Launch and support of new projects, pilots in terms of credit risks.
•	Fraud investigation activities. Development and implementation of anti-fraud strategies.
•	Credit portfolio and risk analysis, recommending corrective actions. Ad-hoc risk reporting.

**Requirements:**
•	Bachelor’s/Master’s degree in a quantitative discipline such as statistics, mathematics, econometrics, economics, operations research, computer science. 
•	Experience working in financial companies (banks, MFI) in a similar position for at least 3 years.
•	Experience in efficient scorecards development and implementation in lending companies (MFI, Banks).
•	Ability to work with large amounts of data – strong knowledge in SQL / MS SQL / PostgreSQL / PowerBI / Excel.
•	Strong analytical skills.
•	Organized, detail-oriented, self-motived and creative professional.