Banking And Finance jobs in Singapore

About the Role

We are seeking an experienced Data Scientist to drive the development, deployment, and management of data quality monitoring models using Machine Learning (ML) and Generative AI (GenAI). You will play a key role in enhancing our model development process while ensuring adherence to high-quality coding standards and Agile methodologies.

In this role, you will work autonomously, applying a continuous improvement approach to refine model accuracy, optimize processes, and integrate cutting-edge AI solutions.

About Capital Markets IT.

Salary package : from 7000-12000SGD with incentives depending on seniority

Capital Markets IT delivers technology solutions for financial trading, investment, and risk management. This includes:

• Electronic trading platforms
• Market and counterparty risk analysis
• Algorithmic trading systems
• Data analytics and regulatory compliance

The increasing adoption of APIs, artificial intelligence, and cloud computing is transforming capital markets, driving efficiency and informed decision-making.

Key Responsibilities :

Machine Learning & Data Science

• Develop, train, and deploy machine learning models for transaction data analysis.
• Design and implement feature selection and dimensionality reduction techniques.
• Optimize models through cross-validation and hyperparameter tuning.
• Monitor model performance, addressing data drift and degradation issues.
• Implement automated retraining processes to maintain model accuracy.

Generative AI & Advanced Analytics

• Integrate Generative AI (GenAI) tools to enhance data quality monitoring.
• Design and refine Large Language Model (LLM) prompts for improved accuracy and efficiency.
• Identify opportunities to augment data science workflows with GenAI for feature engineering and analysis.

Collaboration & Communication

• Work closely with data engineers, software developers, and business analysts to ensure seamless integration of models.
• Engage with domain experts to define transaction data requirements and business rules.
• Communicate findings, model performance, and insights effectively to stakeholders.

Documentation & Continuous Learning

• Maintain detailed documentation on data processing, feature engineering, and model evaluation.
• Stay updated on emerging trends in ML, GenAI, and data quality monitoring.
• Experiment with new tools and methodologies to enhance model performance.

Qualifications & Experience

• 6+ years of experience in data science, ML model development, or AI solutions.
• Strong background in capital markets, with experience in Market Risk/Front Office operations and financial products (Treasury, FX, Credit, IRD, Bonds, RSF, etc.).

Technical Skills

• Programming: Python, R, SQL, Java/Scala.
• ML & AI Frameworks: Scikit-learn, TensorFlow, PyTorch.
• Data Analytics & Visualization: Pandas, dplyr, Matplotlib, Seaborn, ggplot2, Tableau.
• Big Data Technologies: Hadoop, Spark, Kafka, MongoDB.
• Cloud Platforms: AWS (Bedrock, SageMaker).
• Database Management: MySQL, PostgreSQL, NoSQL (MongoDB, Cassandra).
• Containerization & Orchestration: Docker, Kubernetes.

Preferred Qualifications

• Experience with business intelligence tools.
• Familiarity with application monitoring and automation.
• Background in banking and Capital Markets IT.

Why Join Us?

• Opportunity to work at the intersection of AI, finance, and technology.
• Collaborative and innovation-driven environment.
• Exposure to cutting-edge AI solutions in the financial sector.

If you are a data scientist passionate about AI, capital markets, and data-driven decision-making, we’d love to hear from you!