TBC Uzbekistan

data scientist in credit risk modeling

In short

Senior data scientist role at TBC Uzbekistan, a fintech serving 22M+ users, focused on building and maintaining PD, LGD, and EAD credit risk models and scorecards for retail lending. Requires 5+ years of data science experience with strong Python (pandas, numpy, scikit-learn), gradient boosting libraries (XGBoost, LightGBM, CatBoost), advanced SQL, and solid credit risk knowledge. Role covers model development, deployment, monitoring, and collaboration with Risk, Data Engineering, and Product teams, on-site in Tashkent.

О компании
TBC Uzbekistan is a digital financial services ecosystem serving more than 22 million users. Its offerings include digital banking, services for entrepreneurs and SMEs, payment apps, installment credit, a retail platform for SMEs, and digital insurance.
Задачи
•Develop and maintain PD, LGD, and EAD models and credit scorecards across the retail lifecycle
•Apply machine learning methods and statistical techniques
•Ensure model stability, interpretability, and compliance with internal and regulatory standards
•Support model deployment, recalibration, and retraining
•Perform exploratory data analysis and design high-quality feature sets
•Work with large datasets and ensure consistency between training and production data
•Monitor model performance using AUC, Gini, KS, PSI, and related metrics
•Detect data drift and performance degradation, and contribute to automated monitoring solutions
•Translate model outputs into actionable risk strategies, including cut-offs and segmentation, and support business decisions
•Collaborate with Data Engineering, Risk, and Product teams; support validation and documentation; mentor junior team members
Требования
•5+ Years of experience in data science, preferably in credit risk modeling
•Strong Python skills, including pandas, numpy, and scikit-learn
•Hands-on experience with XGBoost, LightGBM, CatBoost, and Random Forest
•Advanced SQL skills and experience with large-scale datasets
•Solid understanding of credit risk concepts, including PD, LGD, and EAD
•Experience with model development, validation, deployment, and monitoring
•Strong understanding of model performance metrics, including AUC, Gini, KS, and PSI
•Experience with Git and production workflows
•English C1 and Russian B2
Будет плюсом: banking or fintech experience, Spark or distributed data processing, MLOps or production ML systems, BI or visualization tools such as Power BI
Условия
•Competitive salary and annual KPI bonus
•Corporate discounts and special offers from partner companies
•24 Days annually to work from anywhere
•27 Calendar days of annual vacation
•Birthday day off and 2 childcare days for parents
•Flexible working hours: 09:00–18:00 or 10:00–19:00
•Fresh fruit and seasonal treats at the office
•Access to Udemy and an internal learning platform with 1,600+ courses
•Professional training and workshops for technical and soft skills
•Team events, gatherings, celebrations, championships, and wellness initiatives
•Sports clubs, including yoga, football, and basketball
•Full-time, on-site role

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