เงื่อนไขการค้นหา

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

SQL, Excel, Power BI, English

ประเภทงาน:

งานประจำ

• Responsible for preparing daily, weekly, and monthly client/internal reports & performance dashboards.
• Preparing ad-hoc reports & analyzing data for management that provide insight.
• Data extraction/upload from the client system to the CNX side.
• Partner with business & support strategic projects involving data mining & analytics.
• Optimize use of tools/technology to improve efficiency & effectiveness of the reporting group.
• Analytical skills that allow for the development of data-driven reports.
• Self-starter, ability to complete work with limited degree of supervision.
• Working Knowledge of SQL scripting, VBA Macros.
• Understanding of Call Center Operational Metrics.
• Thai national.
• Bachelor degree.
• 1-2 years of experience with detail data.
• Strong verbal & written communication in English.
• Experience on Advance Excel + Business Intelligence tools (Power BI, Tableau, Google Studio & other BI tools).
• Experience on reporting through CRM switch and tools viz. CMS (Avaya), OB Dialer, Genesys, IEX etc.
• Monthly KPI & Attendance incentives.
• Medical/Accident Insurance.
• Full time If you are a California resident, by submitting your information, you acknowledge that you have read and have access to the Job Applicant Privacy Notice for California Residents.

ทักษะ:

Statistics, Digital Marketing, SQL

ประเภทงาน:

งานประจำ

• Develop and execute comprehensive e-commerce strategies that align with the company's omnichannel vision and overall business goals.
• Leverage internal and external resources to identify, evaluate, and monitor market trends, customer insights, and competitive dynamics.
• Analyse and evaluate key performance indicators (KPIs), including sales, conversion rates, average order value (AOV), and website traffic, to identify growth opportunities.
• Partner with cross-functional teams to optimize product assortment, pricing strategies, and promotional campaigns across channels.
• Conduct ad-hoc analyses to solve critical business challenges by synthesizing data from multiple sources and sharing actionable insights through dashboards, reports, and presentations.
• Develop sales forecasting models, campaign targets, financial reports, and support omnichannel initiatives.
• Manage and mentor analytics teams, fostering a culture of data-driven decision-making by conducting periodic training sessions and workshops.
• Lead initiatives to standardize data collection processes and introduce innovative solutions to enhance efficiency and overall performance.
• RequirementsEducation: Bachelor s or Master s degree in Business, Data Science, Statistics, Computer Science, or a related discipline.
• Experience: At least 3 years of experience in e-commerce, Retail or FMCG industry with analytics, business strategy, or a similar background.
• Essential: Ability to analyze e-commerce platforms, understand digital marketing metrics, and evaluate consumer behavior.
• Technical Skills: Proficiency in SQL/Phyton for data analysis and PowerBI.
• Soft Skills:Strong analytical and problem-solving capabilities with excellent attention to detail.
• Exceptional communication and presentation skills to convey complex data-driven insights to non-technical stakeholders.
• Ability to work effectively in both independent and collaborative settings within a fast-paced environment.

ทักษะ:

Oracle, SQL, MySQL

ประเภทงาน:

งานประจำ

• Perform DBA activities for Oracle Retail applications including MOM, Store, Planning, and middleware (RIB).
• Administer Oracle WebLogic middleware and manage multiple Oracle Retail environments.
• Install, configure, patch, upgrade, and maintain Oracle Retail applications and their interfaces.
• Monitor and support Oracle Retail applications, including RIB and related systems.
• Perform performance tuning, indexing, and partitioning for Oracle Retail and database systems.
• Install, configure, and maintain security applications (OID, OIM) and replication software (e.g., GoldenGate).
• Maintain Oracle database systems, including managing replication, backup, and disaster recovery setups (Oracle RAC, Data Guard, RMAN).
• Create and manage database objects, shell scripts, and PL/SQL files required by Oracle Retail applications.
• Schedule and monitor batch jobs using UC4, Cron jobs, and Oracle database.
• Troubleshoot and resolve complex database issues, ensuring high availability, security, and performance.
• Use Oracle support (Metalink) for service request creation, follow-up, and resolution.
• Install and maintain reporting and BI applications like OBIEE, BI Publisher, MicroStrategy.
• Administer cloud platforms (Oracle, AWS, Azure) and Oracle Exadata environments.
• RequirementsBachelor s degree or higher in Computer Science or a related field.
• Minimum of 5 years as a Database Administrator (Oracle, MSSQL, MySQL, etc.).
• Proficiency in system administration of Oracle Exadata, Cloud platforms (Oracle, AWS, Azure), and PaaS (Oracle Autonomous/AWS RDS).
• Experience with Oracle multitenant (Container/Pluggable DBs), RAC (Active-Active environments), and database performance tuning.
• Knowledge of Oracle ASM, Oracle security applications (OID, OIM), and replication tools (GoldenGate).
• Familiarity with Linux or UNIX environments and disaster recovery solutions (Oracle RAC, Data Guard and RMAN).
• Performs upgrades of databases (Patch, Export-Import Data Pump and Data Guard).
• Experience with virtualization technologies both on-premises and on the cloud.
• Strong knowledge of database installation, partitioning, performance tuning, and backup/recovery strategies.
• Ability to diagnose, troubleshoot, and resolve complex issues with Oracle databases and cloud services.
• Familiarity with automation and scripting (PL/SQL, Shell, Pro*C).
• Experience with cloud database environments (AWS RDS, Oracle Autonomous).
• Strong communication skills with the ability to collaborate with both technical and non-technical stakeholders.
• Excellent interpersonal skills and ability to work well in a team environment.

ทักษะ:

SQL

ประเภทงาน:

งานประจำ

• ศึกษาและทำความเข้าใจ Application / Software ที่ใช้ในองค์กร เพื่อให้สามารถ support user ได้อย่างถูกต้อง.
• ตรวจสอบและแก้ไขปัญหาต่างๆ ที่เกิดขึ้นกับ Application ให้เป็นไปตาม SLA ที่กำหนด.
• ทำงานร่วมกับทีมพัฒนาระบบ เพื่อแก้ไขปัญหาที่เกิดขึ้นกับ Application.
• จัดทำเอกสารรวบรวมการแก้ไขปัญหาเพื่อเป็น Knowledge Base.
• ให้การสนับสนุนและให้คำปรึกษาเกี่ยวกับการใช้งาน Application.
• มีทักษะในการคิดเชิงวิเคราะห์อย่างเป็นระบบและทำงานแบบมุ่งผลสำเร็จ.
• มีทัศนคติ can-do ในการทำงาน.
• สามารถทำงานภายใต้สภาวะกดดันและเวลาอันจำกัดได้ดี.
• มีความสามารถในการสื่อสาร มนุษย์สัมพันธ์ที่ดี สามารถทำงานร่วมกับผู้อื่นได้ดี.
• มีความรู้เกี่ยวกับฐานข้อมูล และภาษา SQL.
• สามารถใช้คำสั่งจาก MS SQL ได้.
• จบการศึกษาระดับปริญญาตรี สาขาวิชาวิทยาการคอมพิวเตอร์ วิศวกรรมคอมพิวเตอร์ หรือสาขาวิชาที่เกี่ยวข้อง.
• สามารถปฏิบัติงานเป็นกะได้.
• มีประสบการณ์ในงาน Application support (จะพิจารณาเป็นพิเศษ).

ทักษะ:

SQL, Python, SAS

ประเภทงาน:

งานประจำ

• Manage and plan the data direction and strategy for business need.
• Drive successful of data insight initiatives and effective collaboration with stakeholders.
• Analyze business requirements and identify business problems into an analytics question and gain a deep understanding of models and algorithms capability and limitations.
• Create reports and dashboards based on data mining, evaluation, analysis, and visualization.
• Collaborate with key stakeholders including the Executive, Business Units, Data and IT teams to identify opportunities for leveraging company data to drive business solutions.
• Coordinate with the software developers, data engineers and data scientists to oversee the delivery of analytics solutions and formulate strategy for technology adoption and impact measurement.
• 5 years of experience as a data analyst or business data analyst.
• Advanced knowledge in SQL and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience with data studio, Big Query,model,generative AI.
• Experience with R, Python, SAS, SPSS, other analytic tools.
• Experience supporting and working with cross-functional teams in a dynamic environment.

ทักษะ:

SQL, Energetic, Excel, English

ประเภทงาน:

งานประจำ

• Own LazMall Brand Campaigns performance analysis, including creating frameworks, templates and necessary dashboards required to deliver insights for business decisions.
• Partner with Platform Campaigns, Commercial & Category teams to enrich data reporting through understanding of Platform, Category landscape performance and applying insights as required to LazMall Brand Campaigns analysis.
• Execute campaign operations of Regional LazMall Brand Campaigns to ensure on-time and high-quality delivery & metric achievement.
• Quickly & accurately gather internal data to translate into insights & recommendations for improvement to deliver campaign metrics.
• Manage internal and external stakeholders comprising commercial, product, marketing and brand personnel.
• Understand the end-to-end shopping journey and recommend action plans at each touchpoint to elevate the customer s experience.
• Support on Brand Campaigns team s post-campaign reporting to guide brand partners for future business optimization on Lazada.
• At least 3 years of working experience in e-Commerce or consulting industry. Regional experience is a plus.
• Experience in campaign management or Strategy & Planning environment.
• Demonstrated analytical capability. Experience with SQL will be considered.
• Aptitude to translate numbers/data into actionable insights for business use.
• Strong communication and stakeholder management skills (comprising both internal cross functional teams and external partners).
• Highly energetic, proactive & independent- with demonstrated ability to manage multiple projects & execute with timeliness in a fast-paced environment.
• Proficient in Microsoft Excel & PowerPoint.
• Exceptional English written and verbal communication skills.

ทักษะ:

Data Analysis, SQL, Excel, English

ประเภทงาน:

งานประจำ

• Data Analysis: Conduct in-depth analysis of retail and wholesale business data to address specific business questions and challenges.
• Insight Generation: Interpret results from dashboards and data analyses to develop actionable insights and strategic recommendations.
• Requirement Gathering: Identify business problems, gather requirements, and propose potential solutions, including leveraging AI to enhance business operations.
• ML Model creations: Create data analytic model including both deterministic and machine learning model.
• AI vendors coordination's: Collaborate with external AI suppliers to align project objectives with technological capabilities.
• Cross-Departmental Collaboration: Work with various departments to develop and implement data-driven strategies that optimize business processes and decision-making.
• Communication: Act as a liaison between stakeholders and AI vendors, ensuring clear communication understanding of project requirements.
• Data analytics and AI Strategy Design; Design and recommend how Business Intelligence (BI) and AI technologies can address business problems and provide further insights.
• Decision making support: Present key findings from own analysis and strategic recommendations to business counterparts and senior management, focusing on project approaches and strategic planning.
• Bachelors' Degree or higher in Computer Science, Engineering, Information Technology, Management Information System.
• Strong business acumen, with a deep understanding of retail and wholesale business.
• At least 5 years of proven experience as a data analytic role (Retail or E-Commerce Business is preferable).
• Hands-on Experience in SQL, data cloud platform (e.g. Databricks, Snowflake, GCP, or AWS) and high proficiency in excel.
• Good knowledge of Statistics.
• Experience in Python (Pandas, Numpy, SparkSQL), Data Visualization (Tableau, Power BI) is a plus.
• Excellent communication skills with a ability to convey complex findings to non-technical stakeholders.
• Fluent in Thai and English.
• Having good attitude toward team working & willing to work hard.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Data Analysis, SQL, Python, English, Thai

ประเภทงาน:

งานประจำ

• Research on AI/ML, MarTech and AdTech to explore new tools and techniques.
• Prototype and test hyper-personalization engine using these innovations to ensure benefits and efficiency before full-scale deployment.
• Design, implement and automate personalization engine and recommendation system to enhance customer experiences and boost sales and marketing.
• Leverage Advanced analytics, AI/ML, and data mining techniques across various use cases to address business challenges.
• Design and conduct experiments, evaluate and maintain model to improve performance.
• Engage with key stakeholders, including IT, business, campaign and data teams to align on business requirements and integrate data solutions into our platforms.
• Participate in the vendor selection processes to identify and ensure the best external partners for data science and AI/ML projects.
• Bachelor s Degree or higher in Computer Science, Data Science, Engineering, Statistics, or any related field.
• Minimum of 3-5 years experience in data field and at least 2 years in data science, AI/ML engineer or a related field.
• Proficiency in some of the following: Recommendation engine, Reinforcement Learning, Python, PySpark and SQL and etc.
• Experience in building tools / models to support retention, up-cross selling, optimization, mobile app data and digital marketing is a plus.
• Ability to communicate and collaborate with cross-functional teams.
• Growth mindset and openness to continuously learning and facing new projects and new technologies.
• ท่านสามารถอ่านและศึกษานโยบายความเป็นส่วนตัวของธนาคารกรุงไทย จำกัด (มหาชน) ที่ https://krungthai.com/th/content/privacy-policy ทั้งนี้ ธนาคารไม่มีเจตนาหรือความจำเป็นใดๆ ที่จะประมวลผลข้อมูลส่วนบุคคลที่มีความอ่อนไหว รวมถึงข้อมูลที่เกี่ยวข้องศาสนาและ/หรือหมู่โลหิต ซึ่งอาจปรากฏอยู่ในสำเนาบัตรประจำตัวประชาชนของท่านแต่อย่างใด ดังนั้น กรุณาอย่าอัปโหลดเอกสารใดๆ รวมถึงสำเนาบัตรประจำตัวประชาชน หรือกรอกข้อมูลส่วนบุคคลที่มีความอ่อนไหวหรือข้อมูลอื่นใด ซึ่งไม่เกี่ยวข้องหรือไม่จำเป็นสำหรับวัตถุประสงค์ในการสมัครงานไว้บนเว็บไซต์ นอกจากนี้ กรุณาดำเนินการให้แน่ใจว่าได้ดำเนินการลบข้อมูลส่วนบุคคลที่มีความอ่อนไหว (ถ้ามี) ออกจากเรซูเม่และเอกสารอื่นใดก่อนที่จะอัปโหลดเอกสารดังกล่าวไว้บนเว็บไซต์แล้วด้วย ทั้งนี้ ธนาคารมีความจำเป็นต้องเก็บรวบรวมข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของท่านเพื่อบรรลุวัตถุประสงค์ในการพิจารณารับบุคคลเข้าทำงาน หรือการตรวจสอบคุณสมบัติ ลักษณะต้องห้าม หรือพิจารณาความเหมาะสมของบุคคลที่จะให้ดำรงตำแหน่ง ซึ่งการให้ความยินยอมเพื่อเก็บรวบรวม ใช้ หรือเปิดเผยข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของท่านมีความจำเป็นสำหรับการเข้าทำสัญญาและการได้รับการพิจารณาตามวัตถุประสงค์ดังกล่าวข้างต้น ในกรณีที่ท่านไม่ให้ความยินยอมในการเก็บรวบรวม ใช้ หรือเปิดเผยข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรม หรือมีการถอนความยินยอมในภายหลัง ธนาคารอาจไม่สามารถดำเนินการเพื่อบรรลุวัตถุประสงค์ดังกล่าวข้างต้นได้ และอาจ ทำให้ท่านสูญเสียโอกาสในการได้รับการพิจารณารับเข้าทำงานกับธนาคาร .

ทักษะ:

Data Analysis, SQL, Python

ประเภทงาน:

งานประจำ

• Collaborate with business leaders to identify and prioritize data needs.
• Translate business goals into data requirements and actionable insights.
• Develop and maintain strong relationships with stakeholders across the organization.
• Lead the development and implementation of data strategies that align with business objectives.
• Ensure data governance policies and procedures are adhered to.
• Champion data quality, integrity, and security across the organization.
• Oversee the delivery of advanced analytics and business intelligence solutions.
• Provide strategic insights and recommendations based on data analysis.
• Utilize data to identify trends, opportunities, and potential risks.
• Mentor and guide data analysts and data scientists within the team.
• Drive continuous improvement in data processes and analytics capabilities.
• Manage and prioritize data projects to ensure timely delivery.
• Coordinate with IT and other departments to implement data solutions.
• Monitor and report on project progress and outcomes.
• Stay updated on the latest data technologies and methodologies.
• Ensure the use of best practices in data analytics and data science.
• Provide technical guidance and support to the team.
• Bachelor s degree in Data Science, Computer Science, Business Analytics, or a related field.
• Proven experience in a business partnering role, with the ability to influence and drive business strategy.
• Proficiency in data analysis tools and technologies (e.g., SQL, Python, Power BI).
• Strong project management abilities with experience in leading cross-functional projects.
• Has Finance and Accounting knowledge will be a plus.
• Strong ability to analyze user requirements, make recommendations and implement solution.
• Strategic thinker with a business-focused mindset.
• Strong oral and written communication skills.
• Strong communication and interpersonal skills, with the ability to explain complex data concepts to non-technical stakeholders.
• Ability to prioritize and execute in high-pressured environment.
• Ability to work in a fast-paced, dynamic environment.
• Strong problem-solving skills.
• 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. .

ทักษะ:

Data Analysis, SQL, Problem Solving, English

ประเภทงาน:

งานประจำ

• Working closely with business and technical domain experts to identify data requirements that are relevant for analytics and business intelligence.
• Implement data solutions and data comprehensiveness for data customers.
• Working closely with engineering to ensure data service solutions are ultimately delivered in a timely and cost effective manner.
• Retrieve and prepare data (automated if possible) to support business data analysis.
• Ensure adherence to the highest standards in data privacy protection and data governance.
• Bachelor s of Master s Degree in Computer Science, Computer Engineering, or related.
• Minimum of 1 Year with relational/non-relational database systems and good command in SQL.
• Ability to meet critical deadlines and prioritize multiple tasks in a fast-paced environment.
• Ability to work independently, have strong problem solving and organization skills, with a high initiative and a sense of accountability and ownership.
• Experience with cloud-based platforms such as AWS, Google Cloud platform or similar.
• Experience in data processing batch / real time / nearly realtime.
• Experience with data integration or ETL management tools such as AWS Glue, Databrick,or similar.
• Experience with web or software development with Java,Python or similar.
• Experience with Agile methodology is a plus.
• Good in communication and writing in English.
• Good interpersonal and communication skills.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

SQL, Negotiation, Creative Thinking

ประเภทงาน:

งานประจำ

• Develop, plan and initiate marketing tools to drive the number of bill payment transactions and active users and manage the execution of services including bill payment and offline channel under TrueMoney payment license (eg. TrueMoney Kiosk, True Kiosk etc.).
• Proactively lead coordination with Marketing, Product, and Technology teams to ensure plan campaigns are executed properly and promptly.
• Work closely with stakeholders from True Corporation to align objective, plans and i ...
• Deeply understand True customers into specific segments. Work with analytics team to find customer insights and provide relevant product offering and promotion.
• Identify gaps and improvement areas on our product offering, customer journey and work closely with our product and technology team to continuously improve customer experience.
• Analyzed of data, campaign structures, and functionality to identify new or improved marketing campaign opportunities.
• Have a knowledge of Lead Generation and Campaign Management. Plan, prepare, and provide data for execute directed marketing campaigns by using marketing campaign tools.
• Working with Business Leader to ensure the marketing spend stays within budget.
• Analyze previous and ongoing marketing campaigns and report results to the management team as well as make data-driven improvements on campaigns.
• Skill to analyze data by using SQL command.
• Hands-on mentality with get-it-done attitude.
• Collaborative, with strong communication and negotiation skills.
• Strong analytical, logical thinking, creative thinking and knowledge in business acumen.
• High ownership and able to drive initiatives with limited supervision.
• Bachelor s Degree or higher in Business, Marketing, or relevant fields.
• At least 3 - 5 year experience in a marketing, campaign management or marketing partnership role.
• Experience working in a dynamic and fast-paced environment.
• Experience in Telecom is a big plus.
• Knowledge on loyalty and customer retention is a plus.
• Understanding of various online marketing metrics and concepts; CPC, CTR, Retention, etc.
• Experience and passion for financial technology.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Research, Python, SQL

ประเภทงาน:

งานประจำ

• Develop machine learning models such as credit model, income estimation model and fraud model.
• Research on cutting-edge technology to enhance existing model performance.
• Explore and conduct feature engineering on existing data set (telco data, retail store data, loan approval data).
• Develop sentimental analysis model in order to support collection strategy.
• Bachelor Degree in Computer Science, Operations Research, Engineering, or related quantitative discipline.
• 2-5 years of experiences in programming languages such as Python, SQL or Scala.
• 5+ years of hands-on experience in building & implementing AI/ML solutions for senior role.
• Experience with python libraries - Numpy, scikit-learn, OpenCV, Tensorflow, Pytorch, Flask, Django.
• Experience with source version control (Git, Bitbucket).
• Proven knowledge on Rest API, Docker, Google Big Query, VScode.
• Strong analytical skills and data-driven thinking.
• Strong understanding of quantitative analysis methods in relation to financial institutions.
• Ability to clearly communicate modeling results to a wide range of audiences.
• Nice to have.
• Experience in image processing or natural language processing (NLP).
• Solid understanding in collection model.
• Familiar with MLOps concepts.

ทักษะ:

SQL, Data Warehousing, ETL, English

ประเภทงาน:

งานประจำ

• Work with business domain experts, data scientists and application developers to identify data that is relevant for analysis.
• Retrieve, prepare, and process a rich data variety of data sources.
• Apply data quality, cleaning and semantic inference techniques to maintain high data quality.
• Explore data sources to better understand the availability and quality/integrity of data.
• Gain fluency in AI/ML techniques.
• Experience with relational database systems with expertise in SQL.
• Experience in data management, data warehousing or unstructured data environments.
• Experience with data integration or ETL management tools such as Talend, Apache Airflow, AWS Glue, Google DataFlow or similar.
• Experience programming in Python, Java or other equivalent is a plus.
• Experience with Business Intelligence tools and platforms is a plus, e.g. Tableau, QlikView, Google DataStudio, Google Analytics or similar.
• Experience with Agile methodology and Extreme Programming is a plus.
• Ability to meet critical deadlines and prioritize multiple tasks in a fast-paced environment.
• Ability to work independently, have strong problem solving and organization skills, with a high initiative and a sense of accountability and ownership.
• Good communication in English.

ทักษะ:

Product Owner, Problem Solving, SQL, English

ประเภทงาน:

งานประจำ

• Leads and manage applications services under responsible areas to ensure BAU stabilization and meet expected incident SLA and system availability level defined per on/off peak time/period.
• Performs root cause analysis (RCA) to immediate troubleshoot issues and perform issue resolution (short term. Medium term and long term) within incident SLA along with proactive/reactive action.
• Perform BAU system set up, bug fixing & small CRs with IT implementation methodology ...
• Lead and manage system monitoring process to ensure data quality and integrity in production is always accurate and available for key stakeholders and business processes that depend on it.
• Lead and manage regular IT audit checks on recorded calls, incidents and provides feedback to team members to ensure procedures are followed and quality is improved.
• Lead and manage regular system patch upgrade with product owner & business stakeholders.
• Lead and manage IT service & support operating model and procedure in responsible area to ensure team is able to support BAU & business stakeholders smoothly especially month end & year end financial closing activities.
• Manage support workbook and control. Ensure knowledge base has been well organized and keep up-to-date.
• Responsible areas forOrdering and Supply Chain systems.
• Warehouse Management systems.
• Transport Management systems..
• Bachelor Degree or higher in Computer Engineering, Computer Science or related fields.
• At least 3 years experience in IT Retail or IT services as the manager or management roles.
• Good communication, problem solving and cross cross-group collaboration skills.
• Good command of written and spoken English.
• Ability to prioritize, track and manage a large number of divergent tasks and action items.
• Strong ability to analyze user requirements, make recommendations and implement solution.
• Strong presentation and interpersonal skills.
• Ability to prioritize and execute in high-pressured environment.
• Call handling experience in IT Service Desk environment with exceptional customer focus and root cause analysis.
• Programming languages and logics, especially on SQL programming.
• 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. .

ทักษะ:

Risk Management, SAS, SQL

ประเภทงาน:

งานประจำ

• กำหนดและปรับปรุงหลักเกณฑ์การพิจารณาสินเชื่อ (Underwriting Criteria) ของแต่ละผลิตภัณฑ์ เพื่อเสนอขออนุมัติเปลี่ยนแปลงต่อคณะกรรมการที่เกี่ยวข้อง ทั้งกรณีขออนุมัติสินเชื่อใหม่ เปลี่ยนแปลงเงื่อนไข รวมถึงควบคุม กระบวนการการปฏิบัติงานให้มีความสอดคล้องกัน.
• กำหนดกรอบแนวทางการปรับปรุงโครงสร้างหนี้และดำเนินคดีตามนโยบายของธนาคารแห่งประเทศไทย และ หน่วยงานที่กำกับดูแลเพื่อเสนอขออนุมัติเปลี่ยนแปลงต่อคณะกรรมการที่เกี่ยวข้อง รวมถึงควบคุมกระบวนการการปฏิบัติงานให้มีความสอดคล้องกัน.
• จัดทำข้อมูลในการควบคุมและตรวจสอบความถูกต้องในเบื้องต้นของการวิเคราะห์และอนุมัติสินเช ...
• วิเคราะห์และประเมินผลการดำเนินงาน การบริหารความเสี่ยงด้านสินเชื่อ(Credit Risk)ในมิติต่างๆ เพื่อใช้ประกอบการประเมินความเสี่ยงในการออกผลิตภัณฑ์สินเชื่อ และผลิตภัณฑ์อื่นๆ รวมถึงกระบวนการการปฏิบัติงานให้มีความสอดคล้องกัน
• งานอำนาจอนุมัติ (Delegation Authority).
• กำหนดอำนาจอนุมัติสินเชื่อและปรับปรุงโครงสร้างหนี้ และทบทวนอำนาจในการทำธุรกรรมที่เกี่ยวข้อง เพื่อให้ สอดคล้องกับการบริหารความเสี่ยงและความคล่องตัวในการปฏิบัติงาน.
• ดูแลและควบคุมการดำเนินงานตามกรอบอำนาจอนุมัติสินเชื่อและปรับปรุงโครงสร้างหนี้ และธุรกรรมสินเชื่อ เพื่อให้ ระบบงานที่เกี่ยวข้องกำหนดได้อย่างถูกต้อง.
• ตอบข้อหารือกับหน่วยงานภายในและหน่วยงานภายนอกธนาคาร เพื่อให้หน่วยงานที่เกี่ยวข้องปฏิบัติงานได้อย่างถูกต้อง.
• งาน Retail Credit Risk Portfolio Management.
• กำหนดกลยุทธ์ในการดูแลและจัดทำรายงาน Retail Credit Risk Portfolio Management ครอบคลุมตั้งแต่การกำหนดตัวชี้วัดความเสี่ยงต่างๆ ของแต่ละผลิตภัณฑ์ เพื่อนำเสนอต่อคณะกรรมการที่เกี่ยวข้อง.
• กำหนดกลยุทธ์และจัดทำ Strategic Planning เพื่อจัดการดูแลผลการดำเนินงานในเรื่อง Credit Loss and Profitability ให้เป็นไปตามแผนที่กำหนด.
• ประเมิน Risk & Return ในมิติต่างๆ เพื่อใช้ประกอบการให้ความเห็นในการออกผลิตภัณฑ์สินเชื่อ.
• จัดทำข้อมูลตามที่กำหนดจากธนาคารแห่งประเทศไทย หน่วยงานภายนอกและหน่วยงานภายในธนาคาร และ วิเคราะห์ข้อมูลเพื่อสนับสนุนข้อมูลภายในสายงานเดียวกัน.
• วุฒิการศึกษาระดับปริญญาตรีขึ้นไป ด้านการบัญชี เศรษฐศาสตร์ สถิติ MIS
• วิศวกรรมคอมพิวเตอร์ วิทยาการคอมพิวเตอร์ การเงิน บริหารความเสี่ยง วิศวกรรมการเงิน หรือสาขาที่เกี่ยวข้อง.
• มีประสบการณ์ ด้านบริหารความเสี่ยงด้านสินเชื่อ หรือบริหาร Portfolio หรือมีประสบการณ์ที่เกี่ยวข้อง อย่างน้อย 3 ปี.
• สามารถวิเคราะห์ความเสี่ยงหรือประเมินความเสี่ยงเพื่อให้สอดคล้องกับคุณภาพของสินเชื่อและเป้าหมายขององค์กร.
• มีความรู้ด้านผลิตภัณฑ์สินเชื่อรายย่อย และกระบวนพิจารณาสินเชื่อรายย่อย.
• สามารถนำเสนอและสื่อสารได้ดี.
• สามารถใช้ภาษาอังกฤษได้ในระดับดี.
• สามารถใช้โปรแกรม SAS, SQL, MS เชิงลึก และ Python เป็นต้น.
• ท่านสามารถอ่านและศึกษานโยบายความเป็นส่วนตัวของธนาคารกรุงไทย จำกัด (มหาชน) ที่ https://krungthai.com/th/content/privacy-policy ทั้งนี้ ธนาคารไม่มีเจตนาหรือความจำเป็นใดๆ ที่จะประมวลผลข้อมูลส่วนบุคคลที่มีความอ่อนไหว รวมถึงข้อมูลที่เกี่ยวข้องศาสนาและ/หรือหมู่โลหิต ซึ่งอาจปรากฏอยู่ในสำเนาบัตรประจำตัวประชาชนของท่านแต่อย่างใด ดังนั้น กรุณาอย่าอัปโหลดเอกสารใดๆ รวมถึงสำเนาบัตรประจำตัวประชาชน หรือกรอกข้อมูลส่วนบุคคลที่มีความอ่อนไหวหรือข้อมูลอื่นใด ซึ่งไม่เกี่ยวข้องหรือไม่จำเป็นสำหรับวัตถุประสงค์ในการสมัครงานไว้บนเว็บไซต์ นอกจากนี้ กรุณาดำเนินการให้แน่ใจว่าได้ดำเนินการลบข้อมูลส่วนบุคคลที่มีความอ่อนไหว (ถ้ามี) ออกจากเรซูเม่และเอกสารอื่นใดก่อนที่จะอัปโหลดเอกสารดังกล่าวไว้บนเว็บไซต์แล้วด้วย ทั้งนี้ ธนาคารมีความจำเป็นต้องเก็บรวบรวมข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของท่านเพื่อบรรลุวัตถุประสงค์ในการพิจารณารับบุคคลเข้าทำงาน หรือการตรวจสอบคุณสมบัติ ลักษณะต้องห้าม หรือพิจารณาความเหมาะสมของบุคคลที่จะให้ดำรงตำแหน่ง ซึ่งการให้ความยินยอมเพื่อเก็บรวบรวม ใช้ หรือเปิดเผยข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของท่านมีความจำเป็นสำหรับการเข้าทำสัญญาและการได้รับการพิจารณาตามวัตถุประสงค์ดังกล่าวข้างต้น ในกรณีที่ท่านไม่ให้ความยินยอมในการเก็บรวบรวม ใช้ หรือเปิดเผยข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรม หรือมีการถอนความยินยอมในภายหลัง ธนาคารอาจไม่สามารถดำเนินการเพื่อบรรลุวัตถุประสงค์ดังกล่าวข้างต้นได้ และอาจ ทำให้ท่านสูญเสียโอกาสในการได้รับการพิจารณารับเข้าทำงานกับธนาคาร".

ประสบการณ์:

4 ปีขึ้นไป

ทักษะ:

Statistics, Python, SQL

ประเภทงาน:

งานประจำ

• Collaborate with cross-functional teams to identify and prioritize business opportunities that can be addressed through data-driven solutions.
• Extract insights from large and complex datasets using a variety of tools and techniques.
• Develop and deploy predictive models and algorithms using statistical AI/machine learning, deep learning and generative AI modeling.
• Present findings and recommendations to stakeholders in a clear and compelling manner.
• Implement data-driven solutions in various environments, including integration with existing systems and processes.
• Stay up to date on the latest development in data science and bring new idea and technology to the team.
• Monitor the performance of deployed models together with algorithms and continuously improve model accuracy over time.
• Bachelor s or Master s degree in data science, Computer Science, Statistics, or related field.
• 4+ years of experience as a Data Scientist, with a focus on industries.
• Descriptive Analytics.
• Predictive & Prescriptive Analytics (Machine learning, Forecasting, Optimization, choosing the best path).
• Strong programming skills in Python and SQL along with libraries and frameworks for machine learning and statistical test, and their variation among databases.
• Experience with statistical and machine learning techniques.
• Proficiency in optimizing large, complicated SQL statements and code versioning tools such as Git, Mercurial, SVN or others.
• Experience with data visualization tools such as Looker Studio, Tableau, and Power BI.
• Strong problem-solving and communication skills.
• Experience with Cloud technology and databases (Cloud AWS, Azure, GCP).
• Extensive knowledge of Customer relationship management, Customer experience, Next best action, Credit scoring, and Insight & pattern discovery.
• Location: True Digital Park, Bangkok.

ทักษะ:

Software Development, Oracle, SQL, English

ประเภทงาน:

งานประจำ

• Manage IT Solution of BigC Loyalty and Promotion Management.
• Support production issues in daily basis and after business hour.
• Communicate with key users to provide application support and explain resolutions.
• Analyze the issues reported by users and provide solutions.
• Lead and handle project > 50 man days or project related to many Business Units on his/ her own started from user requirement, design, development and UAT.
• Communicate with customer on responsible project.
• Develop and manage detailed work plan on assigned project.
• Manage incident report, analyst incidents,and incident problems.
• Provide recommend and lead improvement on responsible modules or system.
• Recommend enhancement/change on daily operations and processes.
• Manage issues on assigned module/system.
• Provide guidance to team member on issue resolution and query.
• Understand high level impacts with other functional area.
• We looking for.
• Bachelor s degree or higher in Computer Engineering, Computer Science, Information Technology, or related fields.
• At least 3 years experience in software development.
• Database skill including oracle, MS SQL Server, postgresql etc.
• Integration skill via API, postman etc.
• Good command of English both speaking and writing.
• Location: BTS Ekkamai
• Working Day: Mon-Fri.

ทักษะ:

SQL, Research, Java

ประเภทงาน:

งานประจำ

• Background in SQL, databases and/or data science OR.
• BS/MS in software engineering, computer science, mathematics.
• Document data sources in enterprise data catalog with metadata, lineage and classification information.
• Develop aggregations and algorithms needed for reporting and analytics with low level complexity.
• Implement minor changes to existing data visualization applications, reporting dashboards.
• Document modifications to reporting applications based on modifications applied.
• Comprehend and adhere to all data security policies and procedures.
• Create data tools for analytics and data scientist team members.
• Build analytical tools to provide actionable insights into key business KPIs, etc.
• Work with data engineers to optimize pipelines for scalability and data delivery.
• Functional Competency.
• Working knowledge with data and analytics framework supporting data lakes, warehouses, marts, reporting, etc.
• Experience with data tools for visualizations, analytics and reporting.
• Strong analytical skills with ability to research, assess and develop observations/findings.
• Ability to communicate findings, approaches to cross functional teams and stakeholders.
• 3+ years' hands-on experience with a data science background.
• Some programming skills in Java, Python and SQL.
• Clear hands-on experience with database systems - Cloud technologies (e.g. AWS, Azure, Google), in-memory database systems (e.g. HANA, Hazel cast, etc) and other database systems - traditional RDBMS (e.g. Teradata, SQL Server, Oracle), and NoSQL databases (e.g. Cassandra, MongoDB, DynamoDB).
• Educational.
• Background in SQL, databases and/or data science OR.
• BS/MS in software engineering, computer science, mathematics.
• Document data sources in enterprise data catalog with metadata, lineage and classification information.
• Develop aggregations and algorithms needed for reporting and analytics with low level complexity.
• Implement minor changes to existing data visualization applications, reporting dashboards.
• Document modifications to reporting applications based on modifications applied.
• Comprehend and adhere to all data security policies and procedures.
• Create data tools for analytics and data scientist team members.
• Build analytical tools to provide actionable insights into key business KPIs, etc.
• Work with data engineers to optimize pipelines for scalability and data delivery.
• Functional Competency.
• Working knowledge with data and analytics framework supporting data lakes, warehouses, marts, reporting, etc.
• Experience with data tools for visualizations, analytics and reporting.
• Strong analytical skills with ability to research, assess and develop observations/findings.
• Ability to communicate findings, approaches to cross functional teams and stakeholders.
• 3+ years' hands-on experience with a data science background.
• Some programming skills in Java, Python and SQL.
• Clear hands-on experience with database systems - Cloud technologies (e.g. AWS, Azure, Google), in-memory database systems (e.g. HANA, Hazel cast, etc) and other database systems - traditional RDBMS (e.g. Teradata, SQL Server, Oracle), and NoSQL databases (e.g. Cassandra, MongoDB, DynamoDB).

ทักษะ:

ETL, SQL, Hadoop

ประเภทงาน:

งานประจำ

• Conduct meeting with users to understand the data requirements and perform database design based on data understanding and requirements with consideration for performance.
• Maintain data dictionary, relationship and its interpretation.
• Analyze problem and find resolution, as well as work closely with administrators to monitor performance and advise any necessary infrastructure changes.
• Work with business domain experts, data scientists and application developers to identify data that is relevant for analysis.
• Develop big data solutions for batch processing and near real-time streaming.
• Own end-to-end data ETL/ELT process framework from Data Source to Data warehouse.
• Select and integrate appropriate tools and frameworks required to provide requested capabilities.
• Design and develop BI solutions.
• Hands-on development mentality, with a willingness to troubleshoot and solve complex problems.
• Keep abreast of new developments in the big data ecosystem and learn new technologies.
• Ability to effectively work independently and handle multiple priorities.
• Master degree or higher in Computer Science, Computer Engineering, Information Technology, Management Information System or an IT related field.
• 3+ year's experience in Data Management or Data Engineer (Retail or E-Commerce business is preferable).
• Expert experience in query language (SQL), Databrick SQL, PostgreSQL.
• Experience in BigData Technologies like Hadoop, Apache Spark, Databrick.
• Experience in Python is a must.
• Knowledge in machine/statistical learning, data mining is a plus.
• Experience in Generative AI is a plus.
• Strong analytical, problem solving, communication and interpersonal skills.
• Having good attitude toward team working and willing to work hard.
• 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. .

ทักษะ:

SQL, NoSQL

ประเภทงาน:

งานประจำ

• Shape the future of robust and scalable backend systems that power critical financial applications on a multi dealer FX Platform!.
• You will work as a BA on either buy-side, core or sell-side platform teams.
• Utilise your domain knowledge to write requirements for the development team you work with.
• Build positive relationship with Product team to understand the challenges that we are trying to solve and provide effective solutions!.
• Provide requirement elaboration and participate in issue triages.
• Qualifications/Requirements Proven Experience Excellent understanding of trading systems on FX products (spot, forwards, swaps and options) including non vanilla products.
• Experience with market data, trade pricing, etc.
• Good understanding of fix protocol.
• Understanding of Post trade processes and pre-trade checks.
• Ability to converse fluently on above with Senior Product Management on above topics.
• Technology Understanding of cloud-native application architectures.
• Experience with database design and management (SQL and NoSQL databases).
• Process Understands Agile process and metrics related to monitor the team.
• Excellent at recognising potential improvement in processes.
• Skills Required Pro-active self-starter, able to tackle high-level tasks with minimal direction; also to formulate, refine and propose new insights.
• Can dive into the detail when needed to tackle problems and can also ask the right questions to complete the picture.
• Must have excellent verbal and written communication skills, including the ability to present sophisticated subjects clearly and to make them accessible to others.
• Produce detailed, unambiguous user stories so that developers and QA are working with the same understanding.
• Ability to clearly articulate non-functional requirements e.g. response time, throughput, resilience; experience with low latency, high availability platforms would be helpful.
• Partnering with global teams including Product, Architecture and Development are key to this role.
• You will use Agile concepts like backlog refinement, MVP and feature increments to help lead the flow of work and also to handle expectations.
• Education - Bachelors or Masters Degree.
• Benefits Work with world class global and diverse engineering team located in Singapore, Bangkok, London, New york and Bucharest.
• We are a diverse and inclusive organization.
• 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.