เงื่อนไขการค้นหา

ทักษะ:

Kafka, Python, SQL

ประเภทงาน:

งานประจำ

• 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, FastAPI) 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.".

ประสบการณ์:

8 ปีขึ้นไป

ทักษะ:

Java, Spring Boot, MVC, English

ประเภทงาน:

งานประจำ

• Design, develop, and maintain backend services using Java and Spring Boot for web applications.
• Enhance existing systems used by suppliers and contribute to new system development initiatives.
• Build and maintain RESTful APIs with high performance, scalability, and reliability.
• Apply MVC architecture and Dependency Injection principles in application design.
• Integrate with databases (PostgreSQL, Oracle) and write efficient, optimized SQL queries.
• Implement global error handling, logging, and monitoring mechanisms.
• Develop asynchronous and multi-threaded processes to improve system performance.
• Integrate message brokers such as Kafka or RabbitMQ for event-driven architecture.
• Implement API security including Basic Auth, API Key, and JWT with Identity Providers (e.g., Keycloak).
• Create and maintain API documentation using Swagger or OpenAPI 3.0.
• Develop and maintain unit tests using JUnit or similar frameworks.
• Collaborate with cross-functional and international teams (e.g., Indian team) to ensure smooth delivery.
• Participate in code reviews and ensure adherence to coding standards and best practices.
• Contribute to technical documentation including system design, sequence diagrams, and specifications.
• Bachelor s degree in Computer Science, Software Engineering, Information Technology, or a related field.
• At least 8 years of experience in backend development using Java with strong expertise in Spring Boot for REST API development.
• Solid understanding of MVC architecture, Dependency Injection, and build tools (Maven or Gradle).
• Strong knowledge of JPA/ORM frameworks and proficiency in SQL (PostgreSQL, Oracle).
• Experience with asynchronous programming, multi-threading, and message brokers (Kafka, RabbitMQ).
• Experience in API security and authentication mechanisms (JWT, OAuth, Keycloak).
• Familiarity with logging, monitoring, and API documentation tools (Logstash, Elasticsearch, Swagger/OpenAPI).
• Knowledge of cloud platforms and modern infrastructure (AWS, Azure, Oracle Cloud) and containerization (Docker, Kubernetes) (Nice to have).
• Experience with CI/CD pipelines, Helm, Spring Batch, Datadog APM, and technical documentation in Confluence (Nice to have).
• Strong problem-solving skills, ability to work independently and with international teams, and good communication skills.
• Thai native level with good command of English (able to read documentation and participate in technical discussions).

ประสบการณ์:

8 ปีขึ้นไป

ทักษะ:

node.js, RESTful, MVC, English

ประเภทงาน:

งานประจำ

• Design, develop, and maintain backend services using Node.js and Nest.js for web applications.
• Enhance existing systems used by suppliers and contribute to new system development initiatives.
• Build and maintain scalable and high-performance RESTful APIs.
• Apply MVC architecture and Dependency Injection principles in application design.
• Integrate with databases (PostgreSQL, Oracle) and write efficient, optimized SQL queries.
• Implement global error handling, logging, and monitoring mechanisms.
• Develop asynchronous and non-blocking processes to improve system performance.
• Integrate message brokers such as Kafka or RabbitMQ for event-driven architecture.
• Implement API security including Basic Auth, API Key, and JWT with Identity Providers (e.g., Keycloak).
• Create and maintain API documentation using Swagger or OpenAPI 3.0.
• Develop and maintain unit and integration tests using Supertest or similar frameworks.
• Collaborate with cross-functional and international teams (e.g., Indian team) to ensure smooth delivery.
• Participate in code reviews and ensure adherence to coding standards and best practices.
• Contribute to technical documentation including system design, sequence diagrams, and specifications.
• Bachelor s degree in Computer Science, Software Engineering, Information Technology, or a related field.
• At least 8 years of experience in backend development using Node.js.
• Strong expertise in Node.js and Nest.js frameworks.
• Solid understanding of MVC architecture and Dependency Injection.
• Experience with ORM tools (Sequelize or Prisma) and strong SQL skills (PostgreSQL, Oracle).
• Experience in building RESTful APIs with security (JWT, API Key, OAuth/Keycloak).
• Hands-on experience with asynchronous programming and message brokers (Kafka, RabbitMQ).
• Familiarity with API documentation (Swagger/OpenAPI) and testing (e.g., Supertest).
• Knowledge of cloud platforms and modern deployment practices (AWS/Azure, CI/CD, Docker/Kubernetes) (Nice to have).
• Experience with monitoring/logging tools and APM (e.g., Datadog, ELK) (Nice to have).
• Thai native level with good command of English (able to read documentation and participate in technical discussions with international teams).

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Big Data, SQL, Oracle, English

ประเภทงาน:

งานประจำ

• Apply emerging technologies to help our clients maximize the value of their data by generating actionable insights that provide real business outcomes.
• Designing and implementing data structures to support Big Data, Analytical models and traditional BI/DW reporting solutions using technologies such as Microsoft SQL, Oracle, SAP, Cloudera, IBM Watsons, MuleSoft, Qlik Technologies or Informatica.
• Designing and developing data integration using Data Governance, Data Quality, MDM and Metadata management.
• Applying analytical models to predict business outcomes with tools such as DataRobot and languages like Python or R.
• You will be part of a collaborative team that provides our clients with solutions that are practical as well as visionary and have an impact from the back office to the boardroom.
• Demonstrated experience across a broad range of industries such as Energy and Resources, Public Sector, Financial Services, Life Sciences and Health Care, Consumer Business, Manufacturing, Telecommunications or Consumer Business.
• Ability to link industry specific business requirements to BI, Analytics and Big Data solutions.
• Ability to recommend BI/DW/Analytics processes, governance, organisational and platform models, tool selections, and data integration options to clients.
• Project experience through all phases of the project lifecycle from strategy and advisory, scoping and planning, requirements gathering, design, development, testing, training and deployment.
• Your role as a leader: At Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We connect our purpose and shared values to identify issues as well as to make an impact that matters to our clients, people and the communities. Additionally, Consultant across our Firm are expected to:Actively seek out developmental opportunities for growth, act as strong brand ambassadors for the firm as well as share their knowledge and experience with others.
• Respect the needs of their colleagues and build up cooperative relationships.
• Understand the goals of our internal and external stakeholder to set personal priorities as well as align their teams work to achieve the objectives.
• Constantly challenge themselves, collaborate with others to deliver on tasks and take accountability for the results.
• Build productive relationships and communicate effectively in order to positively influence teams and other stakeholders.
• Offer insights based on a solid understanding of what makes Deloitte successful.
• Project integrity and confidence while motivating others through team collaboration as well as recognising individual strengths, differences, and contributions.
• Understand disruptive trends and promote potential opportunities for improvement.
• Requirements:A good honors Degree, preferably at postgraduate level, in Computer Science, Software Engineering, Statistics, Mathematics or related disciplines.
• Experience in Big 4 or MNC Consulting firm or industry equivalent role.
• Minimum 2 years (Analyst) or 4 years (Consultant) of relevant experience.
• Strong experience in one or more of the following programming languages: Scala, Python, or R.
• Experience with one or more non-relational data stores such as Pivotal, Cloudera, Hortonworks, MapR, Oracle BDA.
• Experience with one or more relational data stores using SQL, Oracle DB, Microsoft SQL Server, IBM Netezza, Teradata or MySQL.
• Experience building data ingestion and transformation pipelines using Big Data technologies, including one or more of the following: Spark, Hive, Pig, Kafka, MapReduce, HBase, Sqoop, Flume or Storm.
• Experience in cloud Data Engineering.
• Experience working with Agile software engineering tools and applying Agile methodologies in a pragmatic manner.
• Experience working with Source Control Management tools such as Git, Subversion or Mercurial.
• General knowledge of Linux/Unix based operating systems and Shell scripting.
• Experience directly interfacing with business and IT stakeholders for clients.
• Excellent problem solving skills, ability to think out-of-the-box, work under pressure and tight project timelines.
• Drive, tenacity, client focused and results oriented.
• Excellent communication and presentation skills in English.
• In addition to strong client service orientation, we are also seeking talented leaders who have the capability to deliver quality solutions with superior analytical and problem solving skills. Besides excellent interpersonal and communication skills, candidates should have proven demonstration of sound business acumen, teamwork and leadership qualities. An appreciation of the consulting lifestyle and ability to travel is a pre-requisite.
• Due to volume of applications, we regret that only shortlisted candidates will be notified.
• Please note that Deloitte will never reach out to you directly via messaging platforms to offer you employment opportunities or request for money or your personal information. Kindly apply for roles that you are interested in via this official Deloitte website. Requisition ID: 113773In Thailand, the services are provided by Deloitte Touche Tohmatsu Jaiyos Co., Ltd. and other related entities in Thailand ("Deloitte in Thailand"), which are affiliates of Deloitte Southeast Asia Ltd. Deloitte Southeast Asia Ltd is a member firm of Deloitte Touche Tohmatsu Limited. Deloitte in Thailand, which is within the Deloitte Network, is the entity that is providing this Website.

ทักษะ:

Apache

ประเภทงาน:

งานประจำ

• Architectural Artifacts: Serves as the primary author of the High-Level Design (HLD) andthe Architecture Definition Document (ADD) using arc42 standards.
• System Modeling: Utilizes the C4 Model to create detailed component models anddocumentation that eliminate developer interpretation..
• Technical Governance: Ensures project-level "Gate" success and prevents localizedtechnical debt or security leaks..
• Design Precision: Defines System Building Blocks (SBBs) and formal API Specifications(OpenAPI/Swagger)..
• Decision Management: Records all architectural trade-offs as Architecture DecisionRecords (ADRs) in a version-controlled repository..
• Cloud & Container Technology.
• Platform Expertise: Architectural design and management within OpenShift (OCP) and Kubernetes (K8s) environments.
• Secret & Key Management: Integration of Vault and Hardware Security Modules (HSM)for robust cryptographic operations and secret management.
• Service Mesh: Implementation of Istio for traffic management and securecommunication.
• Governance: Applying GitOps Governance and integrating security scanning into CI/CDpipelines.
• Banking Security & Regulatory Standards.
• Cyber Resilience: Alignment with the Bank of Thailand (BoT) Cyber ResilienceFramework to ensure systemic safety..
• Data Privacy (PDPA): Designing field-level encryption and masking for PersonallyIdentifiable Information (PII) to comply with PDPA regulations..
• Identity & Access: Enforcing Multi-Factor Authentication (MFA) and utilizing OIDC/OAuth2 and JWT (JWS/JWE) for secure identity..
• Audit Readiness: Acting as a technical contact for BoT IT Examinations and ensuring alldesign assets are ready for regulatory audit..
• Payment Standards: Knowledge of PCI-DSS for cardholder data security..
• Technical Skills & Patterns.
• Microservices Patterns: Expertise in Database-per-service, Circuit Breaker, Sidecar, and Saga Patterns (Distributed Transactions).
• Messaging & Integration: Proficiency in Apache Kafka (ensuring Idempotency), gRPC,and REST (Level 3)..
• Distributed Systems: Application of CAP Theorem and Event Sourcing in high-availability environments..
• Resilience: Implementing Strangler Fig patterns for legacy migration and automatedDisaster Recovery (DRP) plans...