DATA SCIENTIST

Eleving Consumer Finance is a dynamic and international FinTech company dedicated to empowering diverse communities worldwide. Our mission is to create access to innovative and sustainable financial solutions, driving upward social mobility.

We are at the forefront of financial inclusion, serving markets where traditional banking falls short. Our reach extends across 7 countries, encompassing the Balkan Europe region, including Moldova, North Macedonia, Albania, and the Southern Africa region, covering Namibia, Botswana, Zambia, and Lesotho.

In most of the markets we enter, cash economy conditions are prevalent, making our comprehensive online and offline customer service experiences a unique offering. With a presence spanning multiple continents, our international team of over 1000 dedicated professionals forms our greatest asset.

From more than 180+ branches, we offer a diverse array of flexible financial products, providing the means for individuals and communities to thrive, and we are constantly expanding our footprint. 

Join our team, and be part of our mission to transform the financial landscape for the better.

To develop and maintain advanced credit risk models and risk assessment tools, driving high-quality credit decisions, reducing default rates, and supporting fraud detection. To translate data insights into strategic business value and actively contribute to company performance and improvement objectives as a key member of our dynamic and collaborative Data Science team.

• Development and maintenance of advanced credit risk models, including credit scoring, fraud detection and prevention and other models for various risks assessment purposes
• Continuously monitor model performance and implement model enhancements as necessary to improve predictive accuracy
• Explore and implement algorithms and techniques to enhance model performance
• Follow and keep up to date with modern developments in methods, modelling methodologies and tooling
• Collaborate cross-functionally with risks, legal, and customer service

• Bachelor’s or Master’s degree in Mathematics, Statistics, Data Science or related STEM field
• 2-3+ years of advanced analytics or data science experience, with a preference for risk-related experience
• Proficiency in data analytics, statistics, modelling and algorithms
• Strong skills in data retrieval, processing, and programming tools using R and Python
• Understanding of credit risk modeling, including scorecard development, probability of default, and loss given default modeling
• Solid understanding of other risks modelling algorithms and approaches
• Effective collaboration within cross-functional teams
• Strong verbal and written communication skills for presenting complex data-driven insights in English 

• Shared Success, 'We Win Together'
• International environment and vibrant team culture that values curiosity and continuous learning
• At our company your talents transform into tangible value
• Tailored professional development opportunities for growth
• Enjoy our benefits, including health insurance, lunch allowance, special day off package, and paid mobile calls and parking
• Work-life balance that suits your lifestyle
• Competitive salary up to 3500 – 4300 EUR gross, complemented by result-oriented bonus