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āļāļąāļāļĐāļ°:
Risk Management, Finance
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- To support Head of Commercial Credit Analysis units on identifying risk issues and provide recommendation to balance between risk caution and RM s credit request in order to mitigate risk and drive growth for Thai Corporate by working closely with CBG RMs and coordinate well with risk management.
- Analyze customer s business, financial factors and source of repayment to identify ability to pay of the customer including the risk concern and how to mitigate it before emerging.
- Coordinate and work with RMs to balance between risk caution and RM s credit request to establish structure deals and avoid or mitigate risk.
- Conduct and recommend credit rating for customers under responsibility.
- Provide recommendation for annual credit review for customers under responsibility in order to find the opportunity for business expansion and NPL preventing in the future.
- Monitor and alert RM, if there is any crisis that impact to customer s business or debt repayment capacity.
- Assist Head of Corporate Credit Analysis Section in coaching credit analysts in the team.
- Bachelor s / master s degree in economics, Banking and Finance or related fields.
- At least 5 years of experience in Credit Analyst or related field.
- Strong communication and interpersonal skills.
āļāļąāļāļĐāļ°:
Excel, Power point
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļāļēāļĒāļļ 25-45 āļāļĩ.
- āļ§āļļāļāļīāļāļēāļĢāļĻāļķāļāļĐāļēāļĢāļ°āļāļąāļāļāļĢāļīāļāļāļēāļāļĢāļĩāļāļķāđāļāđāļ āļāđāļēāļāļāļĢāļīāļŦāļēāļĢāļāļļāļĢāļāļīāļ āļāļēāļĢāđāļāļīāļāļāļēāļĢāļāļāļēāļāļēāļĢ āđāļĻāļĢāļĐāļāļĻāļēāļŠāļāļĢāđ āļāļēāļĢāļāļĨāļēāļ āļŦāļĢāļ·āļāļŠāļēāļāļēāļ§āļīāļāļēāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāđāļāļāđāļēāļāļāļĨāļīāļāļ āļąāļāļāđāļŠāļīāļāđāļāļ·āđāļāļĢāļēāļĒāļĒāđāļāļĒ (āļŦāļēāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļēāļāļŠāļīāļāđāļāļ·āđāļ āļāļ°āļāļīāļāļēāļĢāļāļēāđāļāđāļāļāļĢāļāļĩāļāļīāđāļĻāļĐ).
- āļĄāļĩāļĄāļāļļāļĐāļĒāļŠāļąāļĄāļāļąāļāļāđāđāļĨāļ°āļāļąāļĻāļāļāļāļīāļāļĩāđāļāļĩ āđāļāļāļēāļĢāļāļīāļāļāđāļāļāļĢāļ°āļŠāļēāļāļāļēāļāļŦāļāđāļ§āļĒāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļĄāļĩāļāļąāļāļĐāļ°āđāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļąāļāļŦāļē āļāļļāļāļŠāļĢāļĢāļ āđāļĨāļ°āđāļāđāđāļāļāļąāļāļŦāļēāđāļāđāļāļĩ.
- āļŠāļēāļĄāļēāļĢāļāđāļāđāļāļāļĄāļāļīāļ§āđāļāļāļĢāđāđāļāđāļāļĩ (Word, Excel, Power point).
- āļŠāļāļāļāļēāļĄāļāđāļāļĄāļđāļĨāđāļāļīāđāļĄāđāļāļīāļĄ: āļāļļāļāļāļĢāļēāļāļīāļĻāļē.
- āļāđāļēāļāļŠāļēāļĄāļēāļĢāļāļāđāļēāļāđāļĨāļ°āļĻāļķāļāļĐāļēāļāđāļĒāļāļēāļĒāļāļ§āļēāļĄāđāļāđāļāļŠāđāļ§āļāļāļąāļ§āļāļāļāļāļāļēāļāļēāļĢāļāļĢāļļāļāđāļāļĒ āļāļģāļāļąāļ (āļĄāļŦāļēāļāļ) āļāļĩāđ https://krungthai.com/th/content/privacy-policy āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāđāļĄāđāļĄāļĩāđāļāļāļāļēāļŦāļĢāļ·āļāļāļ§āļēāļĄāļāļģāđāļāđāļāđāļāđ āļāļĩāđāļāļ°āļāļĢāļ°āļĄāļ§āļĨāļāļĨāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ āļĢāļ§āļĄāļāļķāļāļāđāļāļĄāļđāļĨāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļĻāļēāļŠāļāļēāđāļĨāļ°/āļŦāļĢāļ·āļāļŦāļĄāļđāđāđāļĨāļŦāļīāļ āļāļķāđāļāļāļēāļāļāļĢāļēāļāļāļāļĒāļđāđāđāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļāļāļāļāļāđāļēāļāđāļāđāļāļĒāđāļēāļāđāļ āļāļąāļāļāļąāđāļ āļāļĢāļļāļāļēāļāļĒāđāļēāļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāđāļāđ āļĢāļ§āļĄāļāļķāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļ āļŦāļĢāļ·āļāļāļĢāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§āļŦāļĢāļ·āļāļāđāļāļĄāļđāļĨāļāļ·āđāļāđāļ āļāļķāđāļāđāļĄāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļŦāļĢāļ·āļāđāļĄāđāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļŠāļĄāļąāļāļĢāļāļēāļāđāļ§āđāļāļāđāļ§āđāļāđāļāļāđ āļāļāļāļāļēāļāļāļĩāđ āļāļĢāļļāļāļēāļāļģāđāļāļīāļāļāļēāļĢāđāļŦāđāđāļāđāđāļāļ§āđāļēāđāļāđāļāļģāđāļāļīāļāļāļēāļĢāļĨāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ (āļāđāļēāļĄāļĩ) āļāļāļāļāļēāļāđāļĢāļāļđāđāļĄāđāđāļĨāļ°āđāļāļāļŠāļēāļĢāļāļ·āđāļāđāļāļāđāļāļāļāļĩāđāļāļ°āļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāļāļąāļāļāļĨāđāļēāļ§āđāļ§āđāļāļāđāļ§āđāļāđāļāļāđāđāļĨāđāļ§āļāđāļ§āļĒ āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļāđāļāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāļāļļāļāļāļĨāđāļāđāļēāļāļģāļāļēāļ āļŦāļĢāļ·āļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāļļāļāļŠāļĄāļāļąāļāļī āļĨāļąāļāļĐāļāļ°āļāđāļāļāļŦāđāļēāļĄ āļŦāļĢāļ·āļāļāļīāļāļēāļĢāļāļēāļāļ§āļēāļĄāđāļŦāļĄāļēāļ°āļŠāļĄāļāļāļāļāļļāļāļāļĨāļāļĩāđāļāļ°āđāļŦāđāļāļģāļĢāļāļāļģāđāļŦāļāđāļ āļāļķāđāļāļāļēāļĢāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ·āđāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļāļēāļĢāđāļāđāļēāļāļģāļŠāļąāļāļāļēāđāļĨāļ°āļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļāļēāļĄāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļ āđāļāļāļĢāļāļĩāļāļĩāđāļāđāļēāļāđāļĄāđāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļāļēāļĢāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄ āļŦāļĢāļ·āļāļĄāļĩāļāļēāļĢāļāļāļāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ āļēāļĒāļŦāļĨāļąāļ āļāļāļēāļāļēāļĢāļāļēāļāđāļĄāđāļŠāļēāļĄāļēāļĢāļāļāļģāđāļāļīāļāļāļēāļĢāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļāđāļāđ āđāļĨāļ°āļāļēāļ āļāļģāđāļŦāđāļāđāļēāļāļŠāļđāļāđāļŠāļĩāļĒāđāļāļāļēāļŠāđāļāļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāđāļāđāļēāļāļģāļāļēāļāļāļąāļāļāļāļēāļāļēāļĢ ".
āļāļąāļāļĐāļ°:
Finance, Legal, Microsoft Office, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Bachelor s Degree Major in Finance, Economics or related fields, legal qualification is an advantage.
- Experience in Banking industry.
- Computer literate in Microsoft Office - Word & Excel.
- Customer service oriented.
- Good command of English.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
3 āļāļĩāļāļķāđāļāđāļ
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
- āđāļŠāļāļāļāļēāļĒ/ āļāļąāļāļāļķāļāļāļģāļŠāļąāđāļāļāļ·āđāļāļŠāđāļāđāļŦāđāļŦāļāđāļ§āļĒāļāļāļŠāđāļ.
- āļŠāļĢāđāļēāļāļĒāļāļāļāļēāļĒāđāļāļ·āđāđāļāļāļĢāļĢāļĨāļļāđāļāđāļēāļŦāļĄāļēāļĒāļāļēāļĄāđāļāļāļāļ·āđāļāļāļĩāđāļĢāļąāļāļāļīāļāļāļāļ.
- āļāļĢāļ°āļāļēāļĒāļŠāļīāļāļāđāļēāđāļŦāđāļāļĢāļāļāļāļĨāļļāļĄ āļŦāđāļēāļ/āļĢāđāļēāļāļāđāļē āđāļāļāļ·āđāļāļāļĩāđ āļāļĩāđāļĢāļąāļāļāļīāļāļāļāļ.
- āļāļģāđāļāļīāļāļāļīāļāļāļĢāļĢāļĄāļāđāļēāļāđ āļāļēāļĄāđāļāļāļāļēāļāļāļāļāļŦāļāđāļ§āļĒāļāļēāļāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāđāļāđāļēāļŦāļĄāļēāļĒ.
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- FB: Krungsri Career (http://bit.ly/FacebookKrungsriCareer).
- LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer).
- Talent Acquisition Department
- Bank of Ayudhya Public Company Limited
- 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120.
āļāļąāļāļĐāļ°:
Compliance, Accounting, Finance
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Check and review the completeness of Personal Loan application/support documents.
- Verify and underwrite Personal Loan application and ensure compliance with bank's policy.
- Approve, decline, reject case or recommend the case for approval.
- Protect the bank from potential loss by report abnormal case to superior..
- Bachelor s degree in business administration, Accounting, Finance, Economic or related field.
- At least 1 years of experience in Credit Analyst, Credit Underwriter or any related.
- Fresh Graduates are welcome.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
1 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Finance, Statistics, Python, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Manage/ Clean/ Prepare internal and external data (structured/ semi-structured/ unstructured data) for model development/ deployment/ monitoring, including the production of data quality and integrity report.
- Develop statistical/ expert/ hybrid models to be able to enhance the model when model deterioration is indicated using variety of data modeling techniques such as Logistic Regression/ Random Forest/ Gradient Boosting/ Non-Parametric Regression. Also, in case of using external consultants, be able to work closely with them across all m ...
- Generate prescriptive models to respond to interactive decision to optimize risks and rewards.
- Deploy credit risk models into Databricks platform, collection system and credit decision engine and maintain any model adjustment.
- Assist and work closely with related parties, e.g. business users, credit approval officers and relationship managers to ensure credit risk models are appropriate and efficient for business direction and support for new digital lending risk assessment and platform.
- Ensure all credit risk models are qualified to be used through model life cycle. Regularly perform model monitoring, model assessment and propose proactive action/ recommendation to improve the model.
- Assist and design for business opportunity to develop alternative credit score from partnership data.
- Collaborate with IT and data engineer to ensure data availability and quality from various sources (both on-premise/ cloud) to develop an efficient model.
- Qualifications Bachelor s or higher degree in Finance, Statistics, Mathematics, Economics, MIS, Engineer, Data scientist or any related fields.
- At least 1-2 year experiences credit risk analytics, credit risk modeling/ scoring in retail banking, consumer finance or any financial business.
- Strong knowledge and skill in machine learning, credit scoring, data analytics using R/ Python/ PySpark, MATLAB, SPSS, SAS, SQL or similar required.
- Analytical mindset with excellent critical thinking ability and data analytics skills.
- Excellent computer skills and programming tools.
- Good command in both written and spoken English.
- Good project management skills.
- Good team player with a positive attitude toward hard working and working under pressure.
- Experienced in credit risk modeling, model monitoring/ validation/ deployment/ maintenance preferred.
- Prior experience in Basel/ IFRS9, RAROC, Stress Test, Big Data, Data Mining, Digital leading, Fin-tech/ Start-up is a plus.
- We're committed to bringing passion and customer focus to the business. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
5 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Business Statistics / Analysis, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Analyze business requirements and translate them into actionable insights.
- Collaborate with stakeholders to identify and document project objectives.
- Develop detailed business and functional specifications.
- Work closely with development teams to ensure solutions align with business goals.
- Monitor project progress and provide regular updates to stakeholders.
- Identify areas for process improvement and recommend solutions.
- Conduct data analysis to support decision-making processes.
- Bachelor s degree in Business Administration, Information Technology, or a related field.
- At least 5 experience as a Business Analyst.
- Experience in OTA is a plus.
- Strong analytical and problem-solving skills.
- Excellent communication both thai & English and interpersonal abilities.
- Proficiency in business analysis tools and methodologies.
- Ability to work collaboratively in a team-oriented environment.
- Attention to detail and strong organizational skills.
- Able to work onsite at FYI Building (near MRT sirikit convention center).
- Let's build somthing amazing together at Gother.com by sending your resume to us at E-mail: [email protected].
āļāļąāļāļĐāļ°:
Research, Agile Development, Negotiation
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- The Business Analyst is responsible for gathering business requirements, conducting research and providing actionable insights to solve business problem. This includes working with stakeholders to understand their needs, ensure project goals meet business needs. A key task is documenting and presenting findings functional and non-functional specifications.
- For the detailed scope of work.
- Understanding and breaking down the Business Requirement Document (BRD) into list of ...
- Estimating effort for each impacted component.
- Gathering requirement from business users including
- High-Level Journey Flow Preparation
- Designing journey flows for requirement gathering sessions
- Ensuring alignment between Business Units and all stakeholders
- Examples of effective flow diagrams
- Scenarios Analysis
- Identifying and analyzing scenarios with Business User
- Confirming the scope of each scenario
- Detailing impacts and ensuring comprehensive scenario coverage
- Integrated Services Analysis
- Listing all required integrated services with related systems
- Providing detailed analysis for each service to confirm issue (if any) with service owner.
- Providing functional and non-functional specifications.
- Grooming Development Team including System Analyst, Developer, Tester.
- Ensuring traceability between requirements and project goals.
- Reviewing architectural decisions and their impacts on business needs.
- Apply now if you have these advantages.
- Bachelor s degree in Computer Science, Computer Engineering or related fields.
- At least of 5 years experience in application development in banking with a few years experience in business analysis.
- Experience in Banking products and banking services especially for Payment, Transfer and Remittance.
- Experience in Water Fall and Agile development methodologies.
- Experience in MS PPT, MS Excel, Jira, Confluence, draw.io.
- Good negotiation communication skills both written and verbal.Experience in risk management and compliance, particularly in the context of AI technologies..
- Why join Krungsri?.
- As a part of MUFG (Mitsubishi UFJ Financial Group), we a truly a global bank with networks all over the world.
- We offer a striking work-life balance culture with hybrid work policies (2 days in office per week).
- Unbelievable benefits such as attractive bonuses and many more..
- Apply now before this role is close. **.
- Please note that we will get in touch with shortlisted candidates only..
- FB: Krungsri Career.
- LINE: Krungsri Career.
- LINKEDIN: Krungsri.
- Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
- EN (https://krungsri.com/b/privacynoticeen).
- The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank..
- āļāļđāđāļŠāļĄāļąāļāļĢāļŠāļēāļĄāļēāļĢāļāļāđāļēāļāļāļĢāļ°āļāļēāļĻāļāļēāļĢāļāļļāđāļĄāļāļĢāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļŠāđāļ§āļāļāļēāļāļāļĢāļąāļāļĒāļēāļāļĢāļāļļāļāļāļĨāļāļāļāļāļāļēāļāļēāļĢāđāļāđāđāļāļĒāļāļēāļĢāļāļīāļĄāļāđāļĨāļīāļāļāđāļāļēāļāļĢāļđāļāļ āļēāļāļāļĩāđāļāļĢāļēāļāļāļāđāļēāļāļĨāđāļēāļ.
- āļ āļēāļĐāļēāđāļāļĒ (https://krungsri.com/b/privacynoticeth).
- āļŦāļĄāļēāļĒāđāļŦāļāļļ āļāļāļēāļāļēāļĢāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāđāļĨāļ°āļāļ°āļĄāļĩāļāļąāđāļāļāļāļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāļđāđāļŠāļĄāļąāļāļĢ āļāđāļāļāļāļĩāđāļāļđāđāļŠāļĄāļąāļāļĢāļāļ°āđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāđāļāđāļēāļĢāđāļ§āļĄāļāļēāļāļāļąāļāļāļāļēāļāļēāļĢāļāļĢāļļāļāļĻāļĢāļĩāļŊ.
āļāļąāļāļĐāļ°:
Sales
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Plan and propose sales strategies, monitor sales performance, and drive sales growth.
- Build and maintain strong relationships with retail stores and expand distribution channels; an existing customer base will be provided.
- Functional Skills and Knowledge.
- Education of high school diploma (M.6) or vocational certificate.
- Ability to drive a manual transmission vehicle with a valid driver's license.
- Sales experience is a must.
- No criminal record and a guarantor is required.
- Education.
- Requisition Number: 176001 Job Function: Sales
āļāļąāļāļĐāļ°:
Financial Analysis, Budgeting, Accounting
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Conduct financial analysis to evaluate business performance, profitability, and cost efficiency.
- Develop and maintain financial models to support forecasting, budgeting, and long-term planning.
- Work closely with finance, accounting, marketing, and operations teams to provide actionable insights that drive revenue growth and cost savings.
- Assist in the preparation of financial reports, dashboards, and presentations for senior management.
- Collaborate with IT and data teams to improve data analytics capabilities and reporting systems.
- Support financial planning processes, including variance analysis and scenario planning.
- Ensure compliance with financial regulations, internal controls, and corporate policies.
- Provide accounting insights to enhance cost control and financial efficiency.
- Bachelor's degree or in Finance, Accounting, Economics, Business Administration, or a related field. MBA, CPA, or CFA is a plus.
- 5 years of experience in financial analysis, accounting, business analytics, or a similar role, preferably in the retail industry.
- Strong proficiency in financial modelling, Excel, and data visualization tools (e.g., Power BI, Tableau).
- Experience with ERP systems (e.g., SAP, Oracle) and financial reporting tools.
- Solid understanding of accounting principles (GAAP/IFRS) and financial reporting standards.
- Strong analytical and problem-solving skills with a keen attention to detail.
- Excellent communication and presentation skills, with the ability to translate data into business insights.
- Ability to work in a fast-paced environment and manage multiple projects simultaneously.
- CP AXTRA | Lotus's
- CP AXTRA Public Company Limited.
- Nawamin Office: Buengkum, Bangkok 10230, Thailand.
- By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
1 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Compliance
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Perform, analyze and deliver reports and commentaries to meet requirements for financial statement, management presentation, group office report, regulatory report, etc.
- Proactively Identify room for enhancement on own works e.g. operating efficiency, compliance with policies and regulations, customer focused, etc. as well as proposing and executing the enhancement.
- Be responsive to the suggestions/recommendations from senior colleagues to improve w ...
- Collaborate with other functions to resolve operating problems and/or discuss for solutions (e.g. treaty related issues, data and system issues, assumption process control, actuarial forecasting).
- Respond and support an auditor through an auditing processes (e.g. reinsurance related, BEA and experience study related).
- Perform ad-hoc tasks as assigned by senior colleagues in order to fulfill near-term department s goals.
- Take full ownership of self-development. Proactively seeking support from Head of AAA / CATO for the opportunity for skills and knowledge improvement.
- Baseline Qualifications: Bachelor s degree (or higher) in Actuarial Science or related fields.
- 1-4 years of experience in relevant background is preferred (Newly graduated is also acceptable).
- Experience in life insurance actuarial role is preferred.
- Strong progress in Actuarial exams e.g. SoA/IFoA/IAA.
- Good command in English both verbal and written.
- Proactive, Open, Caring, Commit, Innovative.
āļāļąāļāļĐāļ°:
Assurance
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Develop and analyze Enterprise Service revenue to understand Product and Service trends within the AIS Group, ensuring that revenue collection, promotion packages, and new services are properly executed according to the company s business conditions.
- Identify suitable QA methods to reduce revenue loss and prevent errors in the Line Operation's work, sharing knowledge to strengthen revenue assurance.
- Verify the completeness and accuracy of service calculations, promotion packages, and offerings for corporate customers.
- Review the calculation of Postpaid Voice and IDD services, as well as IR services in the RBM system, ensuring they are correct, complete, and in line with the rates and conditions set by the company, with no abnormalities that could lead to revenue loss (Real Loss/Opportunity Loss).
- Communicate, coordinate, and follow up on issues causing revenue loss, identify the root causes, and work with relevant departments to resolve the problems, reducing revenue loss, particularly in Voice services.
- Analyze data from various sources within the scope of responsibility using data analytics skills, reflecting trends, performance, efficiency, and effectiveness of Products and Services. Identify abnormalities impacting revenue loss (Real Loss/Opportunity Loss & Fraud), and conduct audits and monitoring.
- Prepare analysis reports to support management strategies and assess risks in various areas.
- Perform other duties as assigned by the supervisor..
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Involvement in business process design, gathering and analyze requirements and arrive at functional solution (Blueprint) for to be business process.
- Design, Configure, Develop/Optimize SAP programs/customization/functional specifications for reports, interfaces, conversions, enhancements, workflow and forms.
- Coordinate with developers, integrate other modules and other related departments.
- Support various types of testing & Train key users and end users.
- Develop documentation for configuration, enhancements, test scripts, user manuals and training courses.
- Perform go live checks and controls,Provide go live and post-go-live support.
- Provide application support and interface in SAP Logistics areas: MM and core systems interface with SAP.
- Analyze/Investigate issues, identify root cause, provide guidelines and implement opportunities for functional solutions.
- Utilizes SAP knowledge and expertise to identify/analyze issues and implementation opportunities.
- At least 3-7 years of working experience in SAP modules MM.
- At least 1-2 full cycles of SAP ECC or S/4HANA projects /rollouts.
- Bachelor's degree and/or Master's degree in Computer Science, Information Technology, Computer or Software Engineering or related field.
- Good interpersonal skills, service mind, analytical/systematic thinking, fast learner and able to work as a team with high responsibilities.
- Experience in Oil and Gas industries, SAP S/4HANA support/project, TSW, and SAP PI/PO will be advantageous.
- The ability to understand and debug ABAP language will be advantageous.
āļāļąāļāļĐāļ°:
Research, Industry trends, Financial Modeling, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Analize and provide key findings for business perspective, financial perspective and project investment perspective to be information for management decision making.
- Research and apply critical thinking to industry trends, competitor dynamics and current events to provide business insights on both company existing business and new business.
- Conducts financial modeling / valuations for investment decisions (e.g. feasibility study of new investment / expansion projects, and merger & acquisition).
- Perform due diligence on financial statement analysis and provide key improvements / issues in financial perspective.
- Understand and comment on commercial & key terms in business agreement.
- Collaborate with corporate finance, Accounting, legal, treasury and other operations teams to ensure accuracy and completion of tasks.
- Assist with ad-hoc analysis and assigned projects.
- Bachelor s degree or higher in Accounting, Finance, Economics, or related fields.
- Minimum 3-5 years of experience in finance, investment, project analysis or related fields.
- Excellent in financial, analytical, presentation, communication, interpersonal, and problem-solving skills.
- Ability to manage multiple assignments under tight deadlines with flexible working hours.
- Strong analytical and presentation summary skills prepared for top management.
- Proficient in English (spoken and written).
- Prior experience in investment banking is an advantage.
āļāļąāļāļĐāļ°:
SAP, Finance, Accounting
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Provide SAP Logistics support and interface for FI and core systems.
- Analyze issues, identify root causes, and implement functional solutions.
- Leverage SAP expertise to resolve issues and identify improvements.
- Bachelor's degree in Finance, Accounting, Information Systems, or related field.
- 3-5 years of experience in SAP FI implementation and support.
- Hands-on experience in at least one full lifecycle SAP FI implementation.
- Proficiency in SAP FI module configuration.
- Knowledge of SAP CO and integration points with MM, SD, and PP.
- Strong analytical and problem-solving skills.
- Excellent communication and presentation abilities.
- Certifications: SAP FI certification is a plus.
- Other Requirements: Experience in S/4HANA is highly desirable.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
5 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Statistical Analysis, SQL, Excel
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Develop and enhance business intelligence solutions, directly contacting stakeholders and top management to transform data into actionable insights.
- Establish and maintain robust relationships with stakeholders, ensuring alignment with business goals and optimally communicating updates, feedback, and addressing concerns.
- Complex Data Analysis and Operational Excellence Analyze large, critical data sets and conduct sophisticated statistical analysis to derive meaningful insights.
- Build and operationalize processes to ensure timely data loading and maintain data accuracy, using tools such as SQL, Snowflake, Microsoft Excel, Tableau, and Microsoft Power BI.
- Define key performance measures, supervise capacity and service status, and assess risk levels across infrastructures, addressing issues with relevant teams and progressing open actions.
- Insight Generation and Continuous Improvement Conduct trend analysis to detect patterns and anomalies in service metrics, performing root cause analysis and driving continuous improvement initiatives.
- Track and analyze mean time metrics for incident, case, and alarm handling, providing actionable insights for operational excellence and customer experience.
- Optimize resource utilization through regular analysis of system capacity, developing and implementing risk management strategies for individual products.
- Collaboration and Communication Facilitate review forums to unify stakeholders and drive collective decision-making, providing regular reports to key customers to communicate current status and drive timely actions.
- Liaise with global development teams to troubleshoot, analyze, and investigate performance-related issues in the infrastructure.
- Qualifications Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
- Minimum of 5 years of experience in data analysis or a related field.
- Proficiency in data analysis tools i.e. SQL, python, R, and Tableau/Power BI.
- Strong analytical and problem-solving skills with focused attention to detail.
- Strong organization and project management skills.
- Superb communication and presentation skills.
- Ability to communicate complex data insights optimally to stakeholders.
- Preferred: Experience with Datadog or Big Panda.
- Experience with data modelling.
- Experience in tech industry.
- LSEG is an equal opportunities employer, that seeks to offer an inclusive environment to all colleagues. Furthermore, LSEG has committed to reduce its carbon emissions by 50% by 2030, and to reach net zero by 2040. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it s used for, and how it s obtained, your rights and how to contact us as a data subject. If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.
āļāļąāļāļĐāļ°:
Problem Solving, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Be a liaison between technology team and business units for business strategy implementation and business improvement with the right use of technology.
- Gather, analyze, plan and prioritize requirements of the project in close collaboration with the business stakeholder.
- Create and maintain business requirements document including business workflow and data flow diagram which can be understandable by business and technical team.
- Provide the end to end solution analysis by identifying business need, business constraints, business impacts and new opportunities which may have in the future.
- Work with UX/UI to design user flows and make recommendations to improve and support business systems to deliver greater effectiveness and efficiency.
- Present requirements and solution to stakeholders for approval process or program design and development.
- Bachelor degree or Master degree in MBA, Computer Science, MIS or related field.
- At least 8 years of experience in role of Business or System Analyst.
- Have experience in Banking or Financial industry is a plus.
- Strong problem solving and analytical skills combined with an ability to communicate with more technical IT teams or related parties.
- Excellent communication and presentation skills.
- Good in English.
āļāļąāļāļĐāļ°:
Accounting, ERP
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļ§āļļāļāļīāļāļēāļĢāļĻāļķāļāļĐāļē āļ.āļāļĢāļĩ āļāļķāđāļāđāļ āļŠāļēāļāļē āļ§āļīāļāļĒāļēāļāļēāļĢāļāļāļĄāļāļīāļ§āđāļāļāļĢāđ, āđāļāļāļĩ, āļāļāļĄāļāļīāļ§āđāļāļāļĢāđāļāļļāļĢāļāļīāļ.
- āļ§āļļāļāļīāļāļēāļĢāļĻāļķāļāļĐāļē āļ.āļāļĢāļĩ āļāļąāļāļāļĩ (āļāđāļēāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđ Business analyst accounting āļāļ°āļāļīāļāļēāļĢāļāļēāđāļāđāļāļāļīāđāļĻāļĐ).
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđ Business analyst.
- āļĄāļĩāđāļāļāļĢāļīāļāļēāļĢ āđāļĨāļ°āļāļģāļāļēāļāļ āļēāļĒāđāļāđāļāļ§āļēāļĄāļāļāļāļąāļāđāļāđ.
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āļāļēāļĢāđāļāđāđāļāļāļąāļāļŦāļēāđāļāđāļāļĩ.
- āļŦāļēāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļēāļĢ Support ERP āļĄāļēāļāđāļāļ āļāļ°āđāļāđāļĢāļąāļāļāļīāļāļēāļĢāļāļēāļāļīāđāļĻāļĐ.
āļāļąāļāļĐāļ°:
Compliance, Python, SQL
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Lead System Analyst/Senior Data Engineer assigns to work on IECC Project and Finance-Risk and Compliance Data initiatives to support solution design and data integration between upstream applications, downstream applications, and business users.
- To design, build, and operate reliable data pipelines across batch, near-real-time, and real-time workloads.
- To utilize multiple technologies (e.g. Python, SQL/Stored Procedures, ETL/ELT tools) to ingest, transform, and deliver governed, audit-ready data.
- To orchestrate and monitor jobs, implement data quality controls, and ensure security, lineage, and observability, while modernizing existing workflows with automation, testing, and performance tuning.
- Build and maintain ingestion, transformation, and delivery pipelines that produce governed, audit-ready datasets.
- Use Python, SQL/Stored Procedures, and ETL/ELT frameworks (or any relevant technologies) to implement scalable and reusable data pipeline components.
- Orchestrate and monitor workloads (e.g., DAGs/schedulers), ensuring reliability, idempotency and rerun ability.
- Enforce data quality (completeness, validity, accuracy, timeliness, uniqueness) and reconciliation checks.
- Ensure security and compliance: access control, PII handling, encryption, and audit logging.
- Design and manage workflow orchestration for reliable execution, monitoring, and failure recovery with Airflow/Control-M/ESP (DAGs, retries, backfills, idempotency).
- Collaborate with Architects/Stewards to apply a Shared Canonical Model (CDM) and data standards.
- Implement security controls (RBAC/ABAC), PII masking, encryption in-transit/at-rest, and auditable logs.
- Maintain runbooks, technical specifications (e.g. data mapping), and contribute to CI/CD (Git, artifacts, release notes).
- Monitor pipelines (SLIs/SLOs), diagnose incidents, and drive continuous performance and cost improvements.
- Promote data literacy and a data-driven culture through cross-functional collaboration..
- Apply now if you have these advantages.
- Bachelor's / Master degree in Computer Engineer, Computer Science, Information Technology, or related fields.
- At least 8-12 years as System Analyst / Data Engineer, 2-3 years in banking industry.
- Strong background in one or more: large-scale data processing, data infrastructure engineering, or data modeling.
- Solid grasp of CDC patterns, schema-drift control, robust error handling, and recovery/replay.
- Proven track record improving pipelines via automation, testing, and performance tuning.
- Exposure to cloud data platforms (AWS/Azure/GCP), Databricks/Spark Structured Streaming is a plus.
- Proficient in Python and SQL (or any relevant programming languages) and be able to apply solid software engineering practices (testing, version control, code reviews).
- Strong SQL (complex queries, optimization) and Python (DB-API/pandas or PySpark) comfortable with Unix shell.
- Experience with one or more: Talend, IBM DataStage, Airflow, Kafka, Spark, Trino/Presto.
- Curious, resilient, and critical thinker, open to feedback and continuous improvement.
- Financial services, risk and regulatory data experience (e.g., IECC, IFRS9, Basel, BOT, AML, Credit Risk, Compliance) is an advantage.
- Why join Krungsri?.
- As a part of MUFG (Mitsubishi UFJ Financial Group), we a truly a global bank with networks all over the world.
- We offer a striking work-life balance culture with hybrid work policies (2 days minimum in office per week).
- Unbelievable benefits such as attractive bonuses, employee loan with special rates and many more..
- Apply now before this role is close. **.
- FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer [link removed]).
- LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer [link removed]).
- Talent Acquisition Department
- Bank of Ayudhya Public Company Limited
- 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120.
- āļŦāļĄāļēāļĒāđāļŦāļāļļ āļāļāļēāļāļēāļĢāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāđāļĨāļ°āļāļ°āļĄāļĩāļāļąāđāļāļāļāļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāļđāđāļŠāļĄāļąāļāļĢ āļāđāļāļāļāļĩāđāļāļđāđāļŠāļĄāļąāļāļĢāļāļ°āđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāđāļāđāļēāļĢāđāļ§āļĄāļāļēāļāļāļąāļāļāļāļēāļāļēāļĢāļāļĢāļļāļāļĻāļĢāļĩāļŊ.
- Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank..
- Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
- EN (https://krungsri.com/b/privacynoticeen).
- āļāļđāđāļŠāļĄāļąāļāļĢāļŠāļēāļĄāļēāļĢāļāļāđāļēāļāļāļĢāļ°āļāļēāļĻāļāļēāļĢāļāļļāđāļĄāļāļĢāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļŠāđāļ§āļāļāļēāļāļāļĢāļąāļāļĒāļēāļāļĢāļāļļāļāļāļĨāļāļāļāļāļāļēāļāļēāļĢāđāļāđāđāļāļĒāļāļēāļĢāļāļīāļĄāļāđāļĨāļīāļāļāđāļāļēāļāļĢāļđāļāļ āļēāļāļāļĩāđāļāļĢāļēāļāļāļāđāļēāļāļĨāđāļēāļ.
- āļ āļēāļĐāļēāđāļāļĒ (https://krungsri.com/b/privacynoticeth).
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āļĒāļāļāļāļīāļĒāļĄ
āļĨāļāļāļāļģ 5 āļŠāļīāđāļāļāļĩāđāļŦāļĨāļąāļāđāļĨāļīāļāļāļēāļ āļāļĩāļ§āļīāļāļāļļāļāļāļ°āđāļāļĨāļĩāđāļĒāļāđāļāļāļĨāļāļāļāļēāļĨ
āļāļģāđāļāļ°āļāļģāļāđāļēāļāļāļēāļāļĩāļāļāļĢāļīāļĐāļąāļ 7 āđāļāļāļāļĩāđāļāļļāļāđāļĄāđāļāļ§āļĢāļāļģāļāļēāļāļāđāļ§āļĒ
āļāļģāđāļāļ°āļāļģāļāļēāļĢāļŦāļēāļāļēāļāđāļāļīāļāđāļāļĨāļŠāļļāļāļĒāļāļ 50 āļāļĢāļīāļĐāļąāļāļāļĩāđāļāļāļĢāļļāđāļāđāļŦāļĄāđāļāļĒāļēāļāļĢāđāļ§āļĄāļāļēāļāļāđāļ§āļĒāļĄāļēāļāļāļĩāđāļŠāļļāļ 2025
āļāđāļēāļ§āļŠāļēāļĢāđāļŦāļĄāđāđ
