SENIOR 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.

YOUR MISSION

Develop and maintain advanced credit risk models and risk assessment tools, driving high-quality credit decisions, reducing default rates, and supporting fraud detection. As a crucial member of our agile and collaborative Data Science team, you will play a pivotal role in translating data and analytics into concrete and strategic business value.

• Lead the development and maintenance of advanced credit risk models, including credit scoring, fraud detection, and other risk assessment models
• Monitor model performance and implement enhancements to improve predictive accuracy
• Enhance model performance with advanced techniques and seek new data sources
• Analyze data for insights and recommendations in underwriting and loan origination
• Support the development of early warning systems, forecasting, and strategies to mitigate credit and operational risks
• Stay current with modeling trends, guiding the team in best practices
• Provide analytical insights to identify opportunities for process automation
• Collaborate cross-functionally with risk management, legal, and customer service teams

• Bachelor's or Master's degree in Mathematics, Statistics, Data Science, or a related STEM field
• 4+ years of advanced analytics/data science experience, with a preference for risk-related experience
• Proficiency in data analytics, statistics, modeling, and algorithms
• Strong skills in data retrieval, processing, and programming using R and Python
• Proficiency in SQL for data manipulation and extraction
• Ability to identify business problems, design modeling solutions, and offer data-driven strategic recommendations
• Effective collaboration within cross-functional teams
• Strong verbal and written communication skills for presenting complex data-driven insights in English
• Proactive and ownership-driven personality with a keen interest in statistical modeling and machine learning
• Advantage: Knowledge of credit risk modeling, including scorecard development, probability of default, loss given default modeling, and hands-on experience with data visualization tools like Power BI and Tableau

• 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, paid mobile calls and lunch allowance, special day off package
• Work-life balance that suits your lifestyle
• Competitive salary up to 5000 EUR gross, complemented by result oriented bonus