Filter Jobs

Job type:

Full-time

• Develop and execute SEO strategies to increase organic search traffic and visibility across our website and blog.
• Conduct in-depth keyword research to identify high-value opportunities aligned with our customer personas.
• Optimize on-page SEO elements such as meta tags, headers, internal links, image alt text, and URL structure.
• Manage and improve technical SEO aspects including site speed, mobile responsiveness, crawlability, and indexing.
• Plan and execute white-hat link-building campaigns to increase domain authority and improve keyword rankings.
• Content Optimization & Development.
• Collaborate with content writers and designers to produce SEO-friendly blog posts, landing pages, case studies, and whitepapers.
• Update and optimize existing content by refining keyword usage, improving structure, and enhancing visuals.
• Leverage schema markup and structured data to increase search result richness and visibility.
• Identify and develop cornerstone content for key SaaS-related topics to establish thought leadership.
• Stay updated on B2B and SaaS industry trends to uncover new opportunities for organic content growth.
• Analytics & Reporting.
• Track and analyze SEO metrics such as organic traffic, keyword rankings, CTR, bounce rate, and conversion rates.
• Conduct regular website and content audits to uncover technical or content-related SEO issues.
• Use tools like Google Analytics, Google Search Console, Ahrefs, SEMrush, and others to drive SEO strategy.
• Run A/B tests for meta descriptions, blog layouts, and CTAs to enhance user engagement.
• Conduct competitor analysis and provide strategic recommendations based on market insights..
• Bachelor s degree in Marketing, Business, IT, Communications, or a related field.
• 1-3 years of hands-on experience in SEO or a similar digital marketing role.
• Solid understanding and practical experience with SEO tools such as Google Search Console, Google Analytics, SEMrush, and Ahrefs.
• Proven experience with technical SEO elements: sitemaps, crawl budgets, canonical tags, metadata, robots.txt, and site performance optimization.
• Familiarity with back-end SEO principles and website structure optimization.
• Hands-on experience with WordPress for content updates, troubleshooting, and technical fixes.
• Analytical mindset with strong problem-solving abilities and a proactive approach.
• Ability to evaluate SEO performance and make data-backed decisions.
• Excellent attention to detail, quality-focused, and committed to high standards.
• Strong communication skills in both Thai and English (written and verbal).
• Ability to work independently either remotely or onsite..
• ฝ่ายทรัพยากรบุคคล.
• บริษัท เอสซี แอสเสท คอร์ปอเรชั่น จำกัด (มหาชน)อาคารชินวัตร ทาวเวอร์ 3 ชั้น 10
• เลขที่ 1010 ถนนวิภาวดี - รังสิต
• แขวงจตุจักร เขตจตุจักร กรุงเทพฯ 10900.
• Website: www.scasset.com.

Job type:

Full-time

• ปฏิบัติงานยัง บริษัท Infinitas by Krungthai
• We are seeking a Data Scientist specializing in credit decision engine development to drive data-driven lending decisions and risk assessment. The ideal candidate will combine strong analytical skills with deep understanding of credit process.
• Model Development & Deployment
• Develop and maintain credit risk assessment and lending decisions modules
• Expertise for handling large financial databases and credit data manipulation
• Design and implement credit-risk decisioning model solutions using API-based frameworks (e.g., Flask,
• Fast API) or event-driven architecture (e.g., Kafka, Pub/Sub), along with other suitable technologies
• Monitor model performance to ensure high accuracy and reliability in credit decisions Data Analysis & Risk Assessment
• Clean and preprocess financial datasets, particularly credit lending and risk data
• Conduct advanced statistical analyses to support risk assessment and lending decisions.
• Technical Skills
• Proficiency in Python, SQL, and machine learning libraries (TensorFlow, PyTorch, Scikit-Learn)
• Experience with cloud platforms (AWS,GCP) for model deployment
• Knowledge of statistical and machine learning techniques for risk modeling Domain Expertise
• Understanding of credit lending and risk assessment principles
• Experience in financial data analysis within regulatory constraints
• Proven track record in developing credit decision engines (optional)Education & Experience
• Bachelor s degree or higher in Statistics, Computer Science, Mathematics, or related field
• Minimum 3 years experience in retail lending or similar role Additional Requirements
• Strong communication skills for presenting complex findings and process flow to management
• Experience with data visualization tools (Tableau, Power BI)
• Ability to work collaboratively with cross-functional teams.
• You have read and reviewed Infinitas By Krungthai Company Limited's Privacy Policy at https://krungthai.com/Download/download/DownloadDownload_73Privacy_Policy_Infinitas.pdf. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
• The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.".