Our Client is the corporate and investment banking arm of the Group, the world's 10th largest bank by total assets. Their Singapore center, Information Systems Asia Pacific (ISAP), is the 2nd largest IT setup for the Group's worldwide business, working with international branches in 30 markets. They focus on :
- Envisioning and preparing the Bank’s future information systems
- Partnering and supporting core banking flagship projects and large-scale development initiatives
- Providing premium in-house banking applications
This positioning gives us a competitive edge in the core banking market. We seek innovative, agile individuals to support technological challenges.
Role : Data Scientist
Join our dynamic Capital Market IT department! As a Data Scientist, you will develop, train, deploy, and manage data quality monitoring models using ML and GenAI. You should be experienced in data science and committed to improving model development processes. You will work independently, following a continuous improvement approach, ensuring high-quality code aligned with our standards, and deliver solutions meeting functional and non-functional requirements in an Agile environment.
Our Capital Market Infrastructure (CMI) involves technology solutions used in trading, investment, and related activities, including electronic trading platforms, risk management systems, data analytics, and regulatory tools, increasingly leveraging APIs, AI, and cloud technologies.
Responsibilities
Identify and create relevant features from transaction data to enhance model performance.Perform feature selection and dimensionality reduction to optimize models.Develop, train, and evaluate machine learning models with transaction data.Implement cross-validation and hyperparameter tuning for performance optimization.Monitor models over time to detect data drift and degradation.Update and retrain models to maintain accuracy.Integrate Generative AI tools into data monitoring to improve efficiency.Design and refine prompts for LLMs to improve accuracy and reliability.Explore augmenting workflows with GenAI to enhance capabilities.Collaborate with data engineers, developers, and analysts for seamless integration.Engage with domain experts to understand data requirements and rules.Communicate findings and progress effectively to stakeholders.Provide insights and recommendations for data quality and model improvements.Maintain documentation of processes, models, and techniques.Stay updated on advancements in ML, GenAI, and data quality monitoring.Experiment with new tools and methodologies to enhance performance.Skills
Must have :
8+ years relevant experienceProficiency in Python, R, SQL, Java / ScalaStrong statistical knowledgeExperience with data manipulation and analysis toolsKnowledge of ML frameworks (e.g., Scikit-learn, TensorFlow)Expertise in time series analysisData visualization skills (Matplotlib, Seaborn, Tableau)Experience with Big Data tools (Hadoop, Spark)Database management experience (MySQL, MongoDB)Familiarity with Docker, Kubernetes, KafkaSkills in data wrangling and preprocessingKnowledge of ML and GenAI solutions on AWS (Bedrock, SageMaker)Excellent communication and problem-solving skillsAbility to work under pressure and adapt to new technologiesNice to have :
Experience with Business Intelligence toolsExperience with application monitoring and automationBanking and Capital Market IT experience, especially in Market Risk / Front Office operationsJ-18808-Ljbffr
