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KASIKORNBANK

Data Scientist (Credit Approval Process)

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  • Posted 8 days ago
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Job Description

Overview :

We are looking for a talented Data Scientist / Optimization Specialist to improve and streamline our credit approval process. This role involves designing advanced optimization models, developing AI-driven case summarization tools, and building predictive models to assess credit risk.

Key Responsibilities:

  • Develop models to optimize the management of credit approval tasks using Queuing Theory and work sequencing techniques, ensuring the workload is distributed as efficiently as possible.
  • Analyze and improve workflows to reduce waiting times and enhance service capacity.
  • Apply machine learning techniques to identify characteristics of customers or cases that have a higher likelihood of poor credit quality, such as predictive modeling and clustering techniques.
  • Work closely with the credit approval team, development team, and marketing team to design and deploy these models within the credit approval process.
  • Communicate and explain analytical results and recommendations to stakeholders in an easily understandable format.

Qualifications:

  • Bachelor's degree or higher in a related field.
  • Experience working in consulting firm, credit, lending, or financial services industry.
  • Proven experience in building and applying optimization models such as queuing theory, scheduling algorithms, and linear/integer programming and strong background in machine learning.
  • Strong proficiency in programming languages such as Python, R, or SQL
  • Ability to analyze large datasets and build efficient data pipelines.
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
  • Self-motivated, eager to learn new technologies, and capable of working collaboratively in cross-functional teams.

Work Location : KBTG, Chaengwattana Office (Hybrid)

Remark: This position requires a criminal record information check prior consideration for employment to ensure safety and maintain standards of the organization.

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About Company

Job ID: 134914209