Space International is the team of courageous, empathetic, passionate and vibrant tech talents who create banking platform with superior customer experience, placing a special focus on differentiating by design, customer care, price transparency, and instant service delivery. Our courage and winning spirit help us reach incredible results — Space was first launched in Georgia as a neo-bank in a record time of eight months in 2018 and, later in 2020, in Uzbekistan under the brand name TBC Uz. Our employees are at the heart of our success, and we are agile enough for your ideas to make a difference and big enough for your career to grow.
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
