Data Analyst in Risk Department (Relocation to Tashkent)

Tashkent
from $2,500/month
Office
Full-time

MLSQLPhytonRisk AnalysisЛогистическая регрессия

Brief description of the vacancy

We are seeking a Data Analyst to join our Risk Management team. You will be responsible for developing and optimizing credit risk models, leveraging machine learning to identify high-risk clients, and monitoring credit portfolios to mitigate potential crises. Your role will involve preparing analytical reports and visualizations for management, improving credit evaluation processes, and working closely with the credit and risk management teams to ensure cohesive operations.

About the company

Mission of Ipoteka-Bank is to create maximum economic value for bank shareholders and clients. High quality client service and leadership in the selected markets have top priority for the success of the bank in the future.

Corporate values of the bank - team spirit, innovative thinking, positive attitude and supreme quality - play an integral role in bank mission implementation.

By providing clients with a wide range of banking services, bank endeavors to contribute the establishment of prerequisites and conditions for the recovery and development of the country's economy.

When providing its clients with services, Ipoteka-Bank is committed to comply with the highest standards of professionalism, introduction of innovation, openness to new ideas, use of imagination, as well as the implementation of persistent and consistent activity.

Ipoteka-Bank intends to continue to provide high quality services in order for relations of the bank with its clients to be long-term and close.

Responsibilities

What You'll Be Doing:

  • Develop and update models for assessing credit risk and defaults using automation systems.
  • Create and optimize machine learning models to identify high-risk clients.
  • Monitor credit portfolios to detect risks and adjust lending conditions to prevent crises.
  • Prepare reports and visualizations to present analytics to management.
  • Improve credit evaluation and approval processes for greater efficiency.
  • Collaborate with credit and risk management teams to coordinate efforts.

Requirements

What We Expect From You:

  • Strong knowledge of SQL and Python.
  • Experience with CatBoost, XGBoost, and decision trees.
  • Advanced analytical skills and experience with logistic regression.
  • Knowledge of mathematical statistics and practical experience in machine learning (ML).
  • Ability to analyze large datasets and extract valuable insights.
  • Experience in developing and implementing risk prediction models.
  • Experience in the banking or financial sector is a plus.
  • Ability to work effectively in a team and interact with different departments.

Working conditions

What we offer:

  • Work in a large international bank with the possibility of professional growth.
  • Participation in interesting and complex risk management projects.
  • Work schedule: from 9 to 6, 5/2, work from the office (there is no remote or hybrid work format yet, but it will be soon, now there is a discussion with our higher office in Hungary - OTP group).

Contacts

Log InOnly registered users can open employer contacts.

Cookies help us deliver our services. By using our services, you agree to our use of cookies.