About the company
TBC Bank Group PLC established Space International with the strategic aim of facilitating the group's global expansion efforts. In 2018, the team successfully introduced the pioneering neobank, Space, in Georgia. Building upon this success, subsequent efforts were directed towards the creation and launch of the fully digital bank in Uzbekistan, TBC UZ, in 2020. In a significant move towards enhancing its foothold in the Uzbek market, the group acquired Payme, a prominent local payments provider and esteemed brand among the Uzbek populace, in 2023.
Presently, a dedicated team of 1,700 professionals representing 17 nationalities collaborates to advance TBC's international presence. Space International spearheads the provision of cutting-edge technologies and top-tier professional services, while the local teams at Payme and TBC Uzbekistan drive sustained growth and operational excellence.
Main responsibilities:
- End to end design and delivery of machine learning models across different fields (credit scoring, antifraud scoring, income estimation, risk-based pricing, soft collection scoring, anomaly detection, data segmentation, etc.) through all phases of development: from design to training, evaluation, validation, and deployment. Ensure the designed machine learning model brings business value.
- Closely partner with credit risk portfolio manager, soft collection manager and antifraud manager to improve current retail loan products (Cash Loan, POS, Car Loan) through ML solutions.
- Process and analyze large and complex datasets from various sources to get new insights and features: loan book, credit history report, tax report, debit card transaction reports, mobile payments, etc.
- Interpret and communicate complex ML solutions and results in clear and comprehensive way to non-technical stakeholders and senior management.
Main requirements:
- Minimum 1 year of proven experience with at least 1 deployed classification model.
- Excellent Python skills: pandas, numpy, matplotlib, scikit-learn, OOP, Flask or FastAPI.
- Strong proficiency in traditional ML for classification tasks: XGBoost, CatBoost, LightGBM, Random Forest, Logistic Regression.
- Strong SQL skills: joins, sub queries.
- Excellent communication skills with ability to present complex solutions in English or in Russian.
- Bachelor’s degree in STEM field: Science, Technology, Engineering, or Mathematics.
- Experience working in retail bank’s credit risk department and development of credit scoring models would be an advantage.
- Experience in time-series modeling and A/B testing would be an advantage.
- Experience with Airflow would be an advantage.
Skills:
- Excellent analytical, verbal and written communication, exceptional interpersonal, and relationship building skills with business stakeholders.
- Strategic thinker with the ability to review a situation from varied perspectives as well as a willingness to make judgment calls and decisions based on experience and reasonableness tests.
- Strong organizational skills and detail-oriented
- Ability to streamline complex processes
- Ability to meet strict deadlines with excellent follow-up skills
- Comfortable with a “hands-on” approach and balancing multiple, competing priorities and changes in scope/direction, all with a high sense of urgency and positive “can-do” attitude
- Ability to work in a fast-paced environment and adapt to change very quickly with minimal supervision
What We Offer:
- Full support and career-development resources to maximize your potential along our career journey
- Market competitive total compensation package
- 100% company-paid for every employee’s medical insurance
- Benefits and incentives to stay healthy and fit
- English language classes
- Possibility to be involved in an international project
- Hybrid working model, ensuring a good work-life balance
- Junk Fridays, fruit days, terrace BBQs, and many more
Thank you for your interest in opportunities at JSC "Space International." Your privacy is a priority. We process data in compliance with the Law of Georgia "On Personal Data Protection." Your information is confidential and used solely for assessing suitability, with a maximum 3-year retention period. We securely store your data using BreezyHR (Canada). You are authorized to request data deletion or modification, or provision of information regarding data processing. If you have any such requests or have any questions regarding data processing, please feel free to contact us ProfileModificationRequests@ space.ge. Our commitment extends to equal treatment, ensuring a fair and unbiased selection process. Thank you for considering opportunities with us.