Senior Data Scientist (Banking / Financial Services)

MORGAN MCKINLEY PTE. LTD.; Singapore; On-site; SGD 120,000 - 150,000; Full time

Job summary

An established financial institution seeks a senior Data Science Expert to drive AI and machine learning initiatives within its capital markets technology team. The role focuses on creating innovative data-driven solutions to enhance trading and risk operations, requiring extensive experience and technical proficiency in cutting-edge AI technologies.

Qualifications

• 10+ years of experience in enterprise-level IT, preferably in capital markets.
• Strong foundation in machine learning, deep learning, and generative AI.
• Proficient in Python and model development using popular frameworks.

Responsibilities

• Design, build, and maintain intelligent systems for trading and risk processes.
• Develop generative AI solutions to enhance market simulations and stakeholder interactions.
• Collaborate with teams to define AI use cases for real-world business problems.

Skills

Machine Learning

Deep Learning

Generative AI

Python

Model Development

Data Preparation

Tools

TensorFlow

PyTorch

Scikit-learn

AWS

Azure

.NET

Java

Job description

An established financial institution is seeking a senior Data Science Expert to lead the development and implementation of advanced data-driven solutions within its capital markets technology team. This role will be pivotal in driving innovation using AI and machine learning to enhance trading, risk, and post-trade operations.

Responsibilities

• Design, build, and maintain intelligent systems that support trading, investment, and risk processes across the capital markets lifecycle
• Apply deep learning and machine learning techniques to streamline complex workflows and deliver predictive insights for business users
• Develop and deploy generative AI solutions to simulate market conditions, generate synthetic financial data, automate post-trade analysis, and enrich stakeholder interactions
• Collaborate with trading desks, quantitative analysts, and functional teams to shape AI use cases that align with real-world business problems
• Build scalable AI components and services that integrate into the broader IT ecosystem with a product-oriented mindset
• Take ownership of architecture, code quality, deployment strategies, and continuous improvement across models and data pipelines
• Serve as the subject matter expert in AI technologies, bringing in innovation while ensuring compliance and ethical use of data and models

Requirements

• 10+ years of experience in enterprise-level IT, preferably within capital markets, financial services, or large-scale trading systems
• Strong foundation in machine learning, deep learning, generative AI, and operationalizing models (MLOps/LLMOps)
• Practical experience with model development using frameworks like TensorFlow, PyTorch, or Scikit-learn
• Familiarity with modern GenAI stacks, including LLMs, retrieval-augmented generation (RAG), and public cloud deployment (AWS, Azure, etc.)
• Proficient in Python (required), and exposure to .NET or Java is a plus
• Experience deploying solutions in cloud-native environments using GitLab CI/CD, Kubernetes, and containerized workflows
• Deep understanding of data preparation, ethics in AI, and how to generate and optimize embeddings for production-grade GenAI models

Those who are keen for the role and would like to discuss the opportunity further, please click "Apply Now" or email Kin Long at [e-mail] with your updated CV.

Only shortlisted candidates will be responded to, therefore if you do not receive a response within 14 days, please accept this as notification that you have not been shortlisted.

Kin Long Fok

Morgan McKinley Pte Ltd

EA Licence No: 11C5502 | EAP Registration No: R2095054