ทักษะ:

Quality Assurance, Architecture, Automation, Assurance, Selenium

ประเภทงาน:

งานประจำ

• Work in the Scrum team of QA and developers to verify the software deliverables according to business initiatives in a two-week sprint cadence.
• Work side-by-side with business, data engineering, and data scientist teams to ensure the quality of delivery.
• Create test scenario and execute both manual and automated test cases for cross-platform (iOS, Android, Web, API and others i.e. batch job).
• Deliver software, testing progress and testing report.
• Communication with technical and business team for testing concern and production issue, including the prevention.
• Design and find the solution for automation framework i.e. API testing, Flutter testing, Selenium, and others.
• Collaborate with team to support and design the architecture and processing the development cycle.
• looking for.
• Have strong background in Quality Assurance methodologies, i.e. testing process, software engineering process, testing technique, etc.
• Experience in Agile/Scrum methodologies.
• Experience in coding for automation testing.
• Experience in UI and non-UI test framework,test data management and test tools.
• Good command in English.
• Bachelor's Degree in Computer Engineering,Computer Science, or related fields.

ทักษะ:

Python, SQL

ประเภทงาน:

งานประจำ

• Build end-to-end machine learning or statistical models to use in our digital products from problem formulation, data collection, model development, and implementation.
• Conduct research and analysis on various data sources to find predictive signals to help improve model performance.
• Collaborate with other business units to help formulate business problems into data analytic, experimentation, or modeling problems.
• looking for.
• Strong background in probability, statistics, machine learning, or other quantitative areas of study.
• Good understanding of end-to-end model development process from problem formulation to implementation.
• Ability to communicate effectively with business units to help formulate problems into data analytics, experiments, or modeling problems.
• Background in finance is optional, but one should have a strong interest in our business and fintech industry.
• Programming skills in Python and SQL.

ทักษะ:

Negotiation

ประเภทงาน:

งานประจำ

• บันทึกข้อมูลการติดต่อและรายละเอียดการดำเนินงานอย่างครบถ้วน.
• ส่งข้อความแจ้งเตือนการชำระหนี้ผ่านระบบของบริษัท.
• ตอบคำถามลูกค้าเกี่ยวกับใบแจ้งหนี้.
• เจรจาเงื่อนไขการชำระ เช่น กำหนดชำระบางส่วน หรือการผ่อนชำระเมื่อเหมาะสม.
• สนับสนุนงานด้านปฏิบัติการอื่น ๆ ตามที่ได้รับมอบหมาย.
• วุฒิการศึกษา: มัธยมศึกษาตอนปลาย หรือประกาศนียบัตรวิชาชีพ (ปวช.) ขึ้นไป.
• ยินดีรับนักศึกษาจบใหม่ หรือผู้ที่มีประสบการณ์ 1-2 ปี ในสายงานปฏิบัติการ / บริการลูกค้า / ติดตามหนี้.
• มีทักษะการสื่อสารและเจรจาต่อรองที่ดี.
• ใส่ใจในรายละเอียด มีความมุ่งมั่น อดทน และสามารถทำงานภายใต้ความกดดันได้.

ทักษะ:

Electrical Engineering, Software Architecture, Architecture, TensorFlow, Python

ประเภทงาน:

งานประจำ

• Research, develop and apply AI and deep learning techniques to improve our products and business operations.
• Collaborate with cross-functional teams to identify business problems that can benefit from AI solutions.
• Work with AI/MLOps team to implement AI solutions into production environments following high-quality software engineering standards.
• Research and develop Generative AI solutions using state-of-the-art techniques (e.g. Retrieval-Augmented Generation, model fine-tuning, and agentic frameworks) to improve user experiences and increase efficiency in business operations.
• Stay current with the latest advancements in AI/ML/GenAI research and technologies.
• looking for.
• Have passion for building great and impactful technology.
• Bachelor's or master's degree in Computer Engineering, Electrical Engineering, Computer Science or related fields.
• Strong background in Computer Science and Software Engineering including algorithms, data structures, software architecture, OOP, system design, etc.
• Proficiency with deep learning model development using frameworks like PyTorch and TensorFlow.
• Proficiency with common data science Python packages e.g. scikit-learn, NumPy, Pandas).
• Good understanding of machine learning fundamentals and model development lifecycle.
• Experience with developing Generative AI applications is a plus.
• Experience with cloud-based ML platforms (AWS SageMaker, Azure ML, Google Vertex AI) is a plus.
• Our Data & AI Team.
• We are a group of adventure-loving folks with a diverse mix of skillsets. Our crew includes a marathoner, rock climbers, divers, entrepreneurs, and professional travelers, who usually work hard and play even harder.
• What brings us together? A shared passion for AI and ML, software engineering, data engineering, MarTech, and all the cool stuff like GenAI. We really strive to use them to bring real value to Abacus's business. Just to name a few, the complex, real-time loan decision engine runs on the systems built by our teams, and so does the data platform that enables data-driven decisions across the company. And the team vibe and culture? Think Silicon Valley - at least that's where we aspire to be.
• By the way, can you guess which sentences are generated by AI?.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Financial Analysis, Power point, Accounting, Budgeting, Netsuite

ประเภทงาน:

งานประจำ

• Establish and prepare monthly performance reporting, conduct analysis and presentations for management.
• Own budget oversight - lead the annual budgeting cycle and monthly budget-vs-actual tracking across departments, flag variances early, and work with budget owners on corrective action.
• Champion the use of AI within financial strategy team - apply AI tools to automate reporting and modeling, help build and maintain internal dashboards, and proactively ...
• Build and maintain financial models to support business forecasting, management and board reporting, and strategic initiatives such as new business lines.
• Liaise closely with the accounting team at the company on financial statement preparations, maintain data integrity across financial systems and reporting tools.
• Support the team across ad hoc projects and initiatives as priorities evolve and across new business lines.
• Education - Bachelor's degree in Accounting, Finance, Economics, or a related quantitative field.
• Experience - minimum 2 years in FP&A, auditing, accounting, financial analysis, or a related finance function.
• AI fluency (required) - genuine interest in and hands-on use of AI tools, with a demonstrated passion for learning new technologies quickly.
• Interpersonal skills - strong communication and stakeholder management skills, comfortable presenting to and influencing both finance and non-finance audiences; a collaborative team player who builds trust across departments.
• Technical skills - strong analytical skills; proficiency in MS Office (especially Excel and PowerPoint); familiarity with ERP systems (preferably Oracle or Oracle NetSuite) is a plus.
• Technical expertise in TFRS 9 / IFRS 9 is an advantage.
• Working style - adaptive and proactive with a positive attitude, comfortable in a fast-paced environment with shifting priorities and multiple concurrent projects.

ทักษะ:

Big Data, Hadoop, Python, Kafka, Scala

ประเภทงาน:

งานประจำ

• Work closely with the team of engineers, strategists and data scientists to build customer-facing products to address business problems.
• Build state-of-the-art data infrastructure to unlock full potential of ABACUS digital' data analytics capabilities. This includes, but not limited to, data integration (from both internal and external sources), large-scale data pipelines, data workflow management, and ML/AI real-time inference service.
• Implement an experimentation platform that enables the team to conduct online experi ...
• looking for.
• BS/MS degree in Computer Engineering, Computer Science, or a related field.
• Fresh grads are welcome! But having a full-time experience in tech or related industry is a plus.
• Proficiency with at least one of these programming languages: Java, Scala, Python, any other OOP languages, or other functional languages.
• Interested in building and troubleshooting large-scale distributed products.
• Interested in big data technologies such as Hadoop, Hive, Avro, Parquet, Presto, Spark, or Kafka is highly desired.

ทักษะ:

Architecture, Automation, Kubernetes, Python, Linux

ประเภทงาน:

งานประจำ

• Build and maintain CI/CD pipelines (GitHub Actions) with a shift-left approach - security and quality scanning (SAST, dependency/SCA, secrets, container images) integrated from the developer's machine through every stage of the SDLC.
• Build, improve, and maintain infrastructure as code with Terraform/Terragrunt on AWS, following the Landing Zone Architecture.
• Bring the agentic AI age into every layer of our work - apply AI coding agents and automation across CI/CD, code, and cloud infrastructure so we build and maintain syst ...
• Operate containerized workloads on Kubernetes (EKS) and keep them secure, cost-effective, and reliable.
• Automate repetitive operational work - if we do it by hand more than once, you design the solution to solve it.
• Triage findings from security scanners and monitoring alerts; work with dev teams to verify fixes.
• Shine a light on the blind spots - build and tune monitoring, alerting, and availability dashboards so we know about issues before our customers do.
• Support security incident response - help investigate, contain, and follow up on findings through to remediation.
• Support compliance work - collect evidence, implement controls, and keep security configurations documented.
• Help drive adoption of DevSecOps standards across teams - demonstrate practices with working examples, document them clearly, and patiently bring skeptical teams on board.
• looking for.
• Bachelor's degree in Computer Science, Information Security, or a related field.
• Hands-on with AWS (GCP a plus) - able to build, deploy, and maintain a service end to end.
• Hands-on Kubernetes experience (we run EKS) and solid container fundamentals.
• Scripting in Python, NodeJS, or shell.
• Linux and networking fundamentals (TCP/IP layers, DNS, routing, firewalls) for troubleshooting.
• Git-based workflows and CI/CD experience.
• Hands-on use of AI-assisted engineering tools (coding agents, LLM tooling) in daily work - with the judgment to verify what they produce.
• Automation mindset, systematic problem-solving, and self-drive - with something concrete to show for it.
• Clear communicator who inspires teams to adopt new practices - leading with evidence and working examples, not authority.
• Terraform/Terragrunt, GitHub Actions.
• GitOps with ArgoCD.
• Cloud security and OWASP basics.
• Datadog or similar observability platforms.
• Experience building agentic workflows - MCP integrations, AI-driven pipeline automation, or custom agents/skills.
• Home lab, consistent self-paced learning, or open-source contributions.

ทักษะ:

Architecture, Full Stack, Kubernetes, TypeScript, MongoDB

ประเภทงาน:

งานประจำ

• Build for high performance and reliability: the platform handles 100,000+ transactions per day with near real-time data synchronization across services.
• Apply clean architecture and SOLID principles, using Domain-Driven Design (DDD) and Event-Driven Design (EDD) patterns to keep the system modular, testable, and extensible as it scales.
• Contribute to the platform's next-generation rebuild - replacing legacy, tightly-coupled logic with well-tested, framework-supported modules.
• Write automated tests (unit, integration, and end-to-end) as a first-class part of delivery, not an afterthought.
• Work within our DevSecOps pipeline - containerized deployments, infrastructure as code, and security/dependency scanning built into every merge.
• Own what you ship end-to-end - provide production support on a business-hours shift rotation, investigate and resolve incidents, and improve reliability and observability so issues are caught before they reach agents.
• Collaborate closely with product, QA, and the operations team in an Agile delivery model.
• TECH STACK.
• Core (minimum requirements).
• Languages: TypeScript (required); Python or Ruby (Rails) experience a strong plus.
• Frontend: Vue.js or Next.js, written in TypeScript.
• Backend: Node.js (TypeScript) - NestJS experience preferred.
• Databases: MongoDB and MySQL.
• Cloud & DevSecOps.
• AWS as the primary cloud platform, with a cloud-native approach to architecture.
• Containerization with Docker; deployment on ECS and EKS (Kubernetes).
• CI/CD via GitHub Actions.
• Infrastructure as Code with Terraform / Terragrunt.
• Testing.
• Unit & integration testing (Jest).
• End-to-end testing (Cypress or Playwright).
• WHAT WE'RE LOOKING FOR.
• Solid fundamentals in TypeScript and modern web application development.
• Understanding of, or genuine interest in, clean code, clean architecture, SOLID principles, and Domain-Driven / Event-Driven Design - we'll help you deepen this on the job.
• Comfort with relational and document databases (MongoDB, MySQL) and working knowledge of container-based deployment (Docker, Kubernetes).
• A quality mindset: you write tests, care about maintainability, and think about the next engineer who touches your code.
• Prior exposure to backoffice, fintech, or lending/credit systems is an advantage but not required.
• Familiarity with core banking or regulatory-compliance systems is a plus.
• WHY THIS ROLE.
• Work on a genuinely challenging, business-critical system where your work has real, visible impact - this platform is central to how the company operates.
• Learn and apply modern, high-performance tech stacks built to handle real production scale (100,000+ transactions/day, near real-time sync).
• Help shape a next-generation platform from the ground up: modern architecture, cloud-native AWS infrastructure, and a proper DevSecOps delivery pipeline.
• Grow alongside a team that deliberately invests in long-term engineering foundations rather than short-term patches - with a manager and senior engineers who care about mentoring.
• A NOTE TO CANDIDATES.
• This role involves genuinely challenging work on a system that is critical to the business. We're specifically looking for an outstanding junior-to-mid engineer who is ready to be stretched, learn fast, and grow with us - deep prior experience is welcome but less important than curiosity, ownership, and a strong engineering mindset.

ทักษะ:

Data Analysis, Python, SQL

ประเภทงาน:

งานประจำ

• Collaborate with various business units to understand and address data-related needs.
• Design, develop, and maintain dashboards to track business performance metrics and support ongoing business analysis.
• Conduct in-depth data analysis to uncover insights and answer complex business questions.
• Design and execute experiments to measure the impact of new initiatives or features, providing actionable recommendations.
• Empower teams across the company to make data-driven decisions by improving access to reliable, well-organized data.
• looking for.
• A Bachelor's or Master's degree in Engineering, Mathematics, Statistics, Computer Science, Economics or other quantitative fields.
• Proficiency in SQL, Python, and BI tools.
• A track record of working effectively with cross-functional teams to identify opportunities and solve business problems using data.
• Strong communication skills, with the ability to explain complex data analysis into clear, insights and/or actionable recommendations for non-technical stakeholders.

ทักษะ:

Leadership Skill

ประเภทงาน:

งานประจำ

• วางแผนและบริหารทีม OA เร่งรัดหนี้สิน เพื่อผลักดันการเรียกเก็บหนี้ กลุ่มหนี้เสีย / NPL / write-off ให้เป็นไปตามเป้าหมาย.
• ติดตาม ควบคุม อบรม และประเมินผลการทำงานของทีม OA พร้อมเสนอแนวทางเพื่อยกระดับ recovery rate.
• ดูแลงานเร่งรัดหนี้ทางกฎหมาย: ประสานงานการฟ้องร้อง ดำเนินคดี และกระบวนการชั้นศาล/บังคับคดี ร่วมกับฝ่ายกฎหมายภายในและสำนักงานกฎหมาย/OA ภายนอก.
• ผลักดันงานสืบคดี - การสืบหาตัวลูกหนี้และสืบทรัพย์ เพื่อสนับสนุนการดำเนินคดีและเพิ่มโอกาสเรียกคืนหนี้.
• ติดตามอย่างใกล้ชิดทั้งจำนวนสายที่ติดต่อ คำรับสภาพหนี้/นัดชำระ (PTP) เทียบกับยอดชำระจริง รวมถึงผลงานของทีมโทรและทีมภาคสนาม.
• ค้นหาโอกาสในการปรับปรุงกระบวนการ และนำแนวปฏิบัติที่ดีมาใช้เพื่อเพิ่มประสิทธิภาพและประสิทธิผล.
• ประสานงานกับหน่วยงานภายในและภายนอก (ฝ่ายกฎหมาย สำนักงานทนายความ เจ้าพนักงานบังคับคดี/ศาล และ OA) เพื่อให้การดำเนินงานราบรื่น.
• กำกับดูแลให้กิจกรรมเร่งรัดหนี้และการดำเนินคดีทั้งหมดเป็นไปตามกฎหมายและนโยบายบริษัท.
• ติดตามและรายงานแนวโน้มหนี้ค้างชำระ/หนี้เสีย และประเด็นความเสี่ยงต่อผู้บริหาร.
• จัดการข้อโต้แย้งและข้อร้องเรียนของลูกค้าอย่างมืออาชีพ.
• looking for.
• ปริญญาตรีสาขาบริหารธุรกิจ การเงิน นิติศาสตร์ หรือสาขาที่เกี่ยวข้อง.
• ประสบการณ์ด้านเร่งรัดหนี้สินอย่างน้อย 3 ปี.
• มีประสบการณ์งานหนี้ปลายทาง/หนี้เสีย งานสนับสนุนการฟ้องร้อง หรืองานสืบหาตัวลูกหนี้/สืบทรัพย์.
• มีความรู้กระบวนการทางกฎหมายในการเร่งรัดหนี้ (การฟ้อง การบังคับคดี) และแนวทางการเร่งรัดหนี้อย่างรับผิดชอบตามหลักเกณฑ์กำกับดูแล.
• มีทักษะบริหารเวลาและจัดลำดับความสำคัญได้ดีเยี่ยม.
• มีแนวคิดแบบ data-driven เป็นระบบ และกล้าทดลองสิ่งใหม่.
• ทำงานได้ดีในสภาพแวดล้อมที่เปลี่ยนแปลงอย่างรวดเร็ว.
• มีความมั่นใจในการตัดสินใจ สื่อสารได้กระชับ ชัดเจน ตรงประเด็น.
• อาจต้องเดินทางในเขตกรุงเทพฯ และปริมณฑล รวมถึงพื้นที่ต่างจังหวัดในบางครั้ง.