System Analyst

Currently, we are looking for an IT Project manager to work on several product teams. Your main role will be to help the product groups successfully execute the organizations' specific IT goals.

Key Duties & Responsibilities

• Lead, facilitate, coordinate, and track day-to-day activities of projects 
• Prepare projects status reports by aggregating information from different sources 
• Remove blockers and always find the path forward in challenging situations 
• Escalate issues and risks, as well as drive resolutions to ensure transparency in project reporting 
• Communication with international and external stakeholders 
• Understand Business Architecture and Technical Solution Architecture 

Education & Experience 

• Bachelor’s degree in Computer science, Software engineering 
• Project management experience with Agile, Scrum and Kanban approaches 
• Experience in collaborating with senior-level managers within a company 
• Working experience in IT project management Or experience in working in an IT department  

What you will need for this position:

• Advanced level of English 
• Russian will be considered an advantage 
• Knowledge of project management tools and techniques 

Soft Skills:

• High-energy, hands-on contributor, comfortable in a fast-paced, rapidly changing, entrepreneurial work environment 
• Effective communication and negotiation 
• Work under pressure, plan personal workload effectively 
• Critical thinking and problem solving 
• Analytical skills 

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

Join Space International as a Credit Risk Analyst, where you’ll play a crucial role in monitoring our credit portfolio’s performance, identifying risks and opportunities, and collaborating with our team to enhance retail loan products. Your responsibilities include comprehensive risk assessments, data analysis, and proactive recommendations. If you have a strong analytical mindset and are ready to contribute to a dynamic, innovative environment, apply now. 

Main responsibilities: 

• Monitor and analyze the credit portfolio performance, identifying potential risks and opportunities for improvement. 
• Closely collaborating with credit risk portfolio managers to improve current retail loan products (Cash Loan, POS, Car Loan) in terms of credit risks by interpreting and analyzing data using statistical and visualization techniques and providing business recommendations. 
• Conduct comprehensive risk assessments and credit analysis for loan applications, ensuring adherence to risk standards and guidelines. 
• Processing and analyzing large and complex datasets from various sources: loan book, credit history report, tax report, debit card transaction reports, mobile payments, etc. 
• Regularly prepare reports for the bank’s Risk Management. 
• Work with the team of IT business analysts and developers to implement relevant changes in product, decision strategy and scoring in relevant loan origination software and decision engine. 
• Continuous search and analysis of alternative data sources for scoring model and decision-making optimization. 
• Collaborating with other stakeholders to communicate data-based insights: modeling team, soft collection, hard collection, and commercial team. 

Main requirements: 

• At least 2 years of experience dealing with large volumes of complex data. 
• Excellent communication skills with ability to present complex findings in English or in Russian. 
• Excellent SQL skills: joins, sub queries, window functions. 
• Strong Python (pandas, numpy, matplotlib, seaborn) or R (dplyr, stringr, ggplot2) skills. 
• Strong Excel skills: VLOOKUP, pivot tables, visualizations. 
• Bachelor’s degree in economics, computer science, information systems or related fields. 
• Experience working in a retail bank’s credit risk department would be an advantage.  

Skills: 

• Excellent analytical, verbal and written communication, exceptional interpersonal, and relationship building skills with business stakeholders. 
• A 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.  

Languages:  

• Russian 
• English

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