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Antifraud Data Analyst in Sense Bank

Posted more than 30 days ago

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Sense Bank

Sense Bank

0
0 reviews
Without experience
Kyiv
Full-time work
Sense Bank is a state bank with 30 years of history. During this time, we have become not just a place to work, but a community of 4,000 people, where everyone is dedicated to the mission - to create meaning so that the dreams of Ukrainians come true.Our mission:improvement of the fraud analysis and detection system, which will help to protect clients' finances as much as possible and develop their trust in the bank, reduce the risk of fraud in the country as a whole.  team work, self-developmen

Sense Bank is a state bank with 30 years of history. During this time, we have become not just a place to work, but a community of 4,000 people, where everyone is dedicated to the mission - to create meaning so that the dreams of Ukrainians come true.

Our mission:

  • improvement of the fraud analysis and detection system, which will help to protect clients' finances as much as possible and develop their trust in the bank, reduce the risk of fraud in the country as a whole.  
  • team work, self-development, initiative and fostering a sense of involvement in socially significant work

We are looking for a person who will:

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  • analyze largeandarrayss  of data to identify unusual signs, detection of patterns and correlations related to fraud, advanced ficheengineering; 
  • build rules and algorithms for detection segments of fraud victims and fraud participants with further research work and experiments to select optimal settings, optimize and update algorithms;
  • developand adjust modelsand machine learningbased on historical data and fraud patterns to predict the likelihood of fraudulent activity among the customer base; 
  • andidentifyanddo segmentation of customers depending on the level of fraud risk. Developing strategies to prevent fraud among these segments; 
  • preparereports, analystinthe effectiveness and results of rule sets and models; 
  • study newand technologies and methods for continuous development of anti-fraud algorithms/models and maintaining their relevance; 
  • analyze and make proposals on improving the bank's security systems based on identified risks and vulnerabilities. 
  • You are suitable if you have:

    • experience working with large volumes of data and their analysis;
    • < li>understanding of business processes, financial fraud processes and methods;
    • understanding of mathematical concepts (linear algebra, probability, statistics) to understand machine learning algorithms;
    • practice of working with databases Microsoft SQL Server, including writing queries, procedures and query optimization; 
    • experience with Python libraries (pandas, NumPy) for data processing, cleaning and analysis; 
    • experience using Python libraries (scikit-learn, TensorFlow, PyTorch) to create and optimize models; 
    • ability to use mathematical and statistical methods to analyze large volumes of data and identify patterns;
    • experience with machine learning algorithms, including classification, regression, clustering, neural networks, etc.;
    • >
    • readiness to constantly improve your skills, learn new methods and tools related to data analysis and Data Science. 

    Why should you go to us?

    We offer:

      < li>Competitive salary;  and help in crisis situations thanks to the charity program "Let's Help Together";
    • 28 days of annual leave and additional days of leave;
    • Studies at the free internal school of DOSVID for managerial, leadership and professional skills and IT school in the areas of SQL, Data Science and other technical specialties;
    • English speaking club: we meet twice a week with a group of like-minded people to discuss a wide variety of topics;
    • Sport Community, which holds free training every day: from sports dances to strength training. You will definitely find something of your own here :).

    Do you still have doubts or are you with us? 

    We are open to everyone. We have no prejudices and stereotypes. We are actively working on the development of inclusiveness in the team. Differences in views and experiences, gender equality, and age tolerance make sense to us. We respect the contribution of the military to the security of Ukraine and gladly offer employment to veterans.

    Our values ​​are openness, interaction, drive, effectiveness.

    Ready? Send your resume!

    Become a part of the team, unlock your potential with Sense Bank!

    Without experience
    Kyiv
    Full-time work
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