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Skills:

Python, TensorFlow

Job type:

Full-time

• Develop, fine-tune, and deploy AI/ML models for real-world financial use cases across the group.
• Collaborate with AI Scientists on model architecture, evaluation, and optimization to ensure production-readiness.
• Integrate AI solutions into product pipelines in close coordination with Software Engineering and Data Engineering teams.
• Support testing, monitoring, and continuous iteration of models in live environments.
• Contribute to building and scaling SCBX s AI engineering capability across multiple business domains.
• If you meet below qualifications and are ready to take on a challenging role, we encourage you to apply.
• Hands-on experience in AI/ML engineering or a related technical field.
• Solid foundation in machine learning, deep learning, or natural language processing.
• Proficiency in Python and common ML frameworks such as PyTorch or TensorFlow.
• Strong collaboration skills with the ability to work effectively in cross-functional squad environments.
• Experience with LLMs, generative AI, or MLOps practices is an advantage.
• Exposure to financial services or enterprise-scale AI deployment is an advantage.
• About Us.
• SCBX is the mothership of the financial technology business group comprising Siam Commercial Bank, SCB 10X Co., Ltd., Card X Co., Ltd., InnovestX Securities Co., Ltd., and other companies. SCBX drives and powers the development and execution of strategic initiatives, with a particular emphasis on financial enterprises and digital technologies. This includes pursuing new business opportunities, M&A, strategic investments, partnerships, and divestitures. It captures some of the biggest growth opportunities with superior returns, by adapting to consumers' changing behaviors and demands in a timely manner. These industries will improve the overall quality of life while serving a greater purpose. The company conducts business with flexibility and prudence in governance and risk management and has the potential to compete equally in global competitions.

Skills:

Kafka, Python, SQL

Job type:

Full-time

• 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..
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