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Urgent! Senior Data Scientist / ML Engineer - Leading Investment Bank Job Opening In Singapore, Singapore – Now Hiring Pinpoint Asia Limited

Senior Data Scientist / ML Engineer Leading Investment Bank



Job description

Overview

Join a top-tier investment bank on a transformative journey to embed AI and advanced analytics into the core of its Wealth Management business in Asia.

As a Senior Data Scientist / ML Engineer, you will play a dual role at the intersection of innovation, engineering, and strategy - developing and deploying scalable AI models while shaping the bank’s AI Center of Excellence (COE).

Working closely with the CDO, you’ll drive impactful AI initiatives that enhance hyper-personalization, client experience, and operational efficiency.

This is an opportunity to build next-gen AI solutions while contributing to enterprise-wide digital transformation in a highly collaborative and innovative environment.

Key Responsibilities

  • Build and deploy production-grade machine learning models across areas such as personalization, recommendation systems, client segmentation, credit risk, fraud detection, and churn prediction.

  • Leverage advanced techniques, including deep learning, reinforcement learning, NLP, and generative AI (e.g., prompt engineering, RAG, agentic AI).

  • Design end-to-end ML pipelines using cloud-native, scalable infrastructure (AWS, Azure, GCP) and MLOps best practices.

  • Develop and maintain ML infrastructure and automation workflows to enable rapid experimentation, training, and deployment.

  • Implement continuous monitoring, performance evaluation, and real-time model optimization.

  • Work with Front Office, Marketing, Risk, Compliance, Credit, and IT teams to integrate AI into business processes and client-facing platforms.

  • Collaborate with data engineers to build robust, scalable data pipelines and ensure data quality, consistency, and governance.

  • Contribute to feature engineering, preprocessing, and real-time data workflows.

  • Ensure AI models comply with internal policies and regulatory requirements (e.g., data privacy, fairness, explainability).

  • Stay abreast of the latest trends in AI/ML and apply cutting-edge research to real-world problems.

  • Share knowledge, mentor junior team members, and contribute to the upskilling of staff across the organization.

  • Establish scalable workflows, governance models, and standards for AI model development and industrialization.

  • Promote a culture of AI across the firm and collaborate under the Group’s approach with global entities.

Key Requirements

Education & Experience

  • Bachelor’s, Master’s, or PhD in Computer Science, Engineering, Mathematics, or a related field.

  • 5 - 8+ years of experience in data science and machine learning, including at least 2 years in a senior or lead role.

  • Proven track record of deploying AI models in production, preferably in financial services, tech, or a highly regulated industry.

Technical Skills

  • Proficient in Python, SQL, and at least one compiled language (e.g., Java or C++).

  • Deep experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and MLOps tools (e.g., Docker, Kubernetes, Grafana, Prometheus, Giskard).

  • Strong knowledge of big data tools (Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).

  • Experience with streaming data, real-time ML, and model monitoring systems.

Domain Knowledge

  • Ideally some experience in Financial Services, client behavior analytics, risk modeling, or fraud detection.

  • Strong understanding of model interpretability and explainability (e.g., SHAP, LIME).

Soft Skills

  • Strategic thinker with a hands-on mindset.

  • Strong communication and stakeholder management skills.

  • Ability to influence and collaborate across functions and geographies.

  • With well over a decade of a solid and enviable track record behind us, headquartered in Hong Kong, Pinpoint Asia Infotech Pte Ltd (EA License: 16C8291) is the go-to IT Search Firm for several top Investment Banks and Financial Institutions.

If you are interested in the above position, please send your CV to Charlie Kim @ (EA Registration number: Reg No: R )

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Required Skill Profession

Database, Analytics & Bi



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