Data analyst

Posted 17 Days Ago
Be an Early Applicant
Tashkent, Toshkent shahri
Junior
Fintech • Payments • Financial Services
The Role
The Data Analyst will perform data preparation, conduct analyses related to credit risk, support ML model development, and collaborate with stakeholders while developing skills in credit risk modeling.
Summary Generated by Built In

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.


We are looking for a Data Analyst at Space International!


What you will do:
Data Preparation and Analysis:

  • Work with complex datasets, performing data wrangling, cleaning, and preparation tasks.
  • Conduct ad-hoc analyses to uncover insights and answer key business questions related to credit risk.
  • Collaborate with senior team members to prepare data for model development

Model Development and Evaluation:

  • Support senior data scientists in developing, testing, and refining ML models, such as application and collection scorecards.
  • Help monitor model performance, track key metrics, and participate in model tuning and optimization efforts.

Stakeholder Collaboration:

  • Collaborate with a variety of stakeholders, including risk managers, data engineers, and MLOps specialists, ensuring data and model needs are met across functions.
  • Interpret analytical findings and contribute to discussions, helping communicate results to non-technical stakeholders.

Feature Engineering:

  • Participate in building and maintaining the feature store, contributing ideas and insights to enhance model quality and effectiveness.
  • Support feature engineering efforts, preparing data that will improve model inputs.

Professional Development:

  • Work closely with senior data scientists, enhancing your skillset and developing expertise in credit risk modeling.
  • Assist junior data analysts as needed, contributing to a collaborative and growth-oriented team environment.



Requirements:

Experience:

  • 1-3 years of experience in data analysis or data science, preferably with exposure to credit risk or the fintech industry.

Technical Skills:

  • Proficiency in Python and SQL, with experience using libraries such as Pandas, NumPy, Seaborn, Matplotlib, and Scikit-learn.
  • Familiarity with tree-based algorithms (e.g., XGBoost) and Logistic Regression.
  • Experience in preparing and analyzing large datasets for ML model development.

Educational Background:

  • Bachelor’s degree in a STEM field: Science, Technology, Engineering, or Mathematics.

    Language Skills:

    • English (B2 or higher) is required for internal communication, with Russian (B1 or higher) as a plus.

    Additional Skills and Knowledge:

    • Strong analytical and problem-solving skills.
    • Experience in a retail banking environment with an understanding of credit risk is a plus.

    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 2-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.

    Top Skills

    Matplotlib
    Numpy
    Pandas
    Python
    Scikit-Learn
    Seaborn
    SQL
    Xgboost
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    The Company
    433 Employees
    Remote Workplace
    Year Founded: 2018

    What We Do

    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

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