Senior Data Scientist Risk Analytics

almr business consulting group pte. ltd.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

ALMR BUSINESS CONSULTING GROUP PTE. LTD. in Singapore seeks an experienced Data Scientist to develop ML models for credit risk, fraud detection and data driven decisions in financial services.

You will build predictive models, analyse large datasets, manage model governance and deployment pipelines, and mentor junior data scientists to deliver scalable solutions.

The role requires 5+ years in data science, production ML experience, strong statistics and communication skills.

Qualifications

• At least 5 years of experience in data science or machine learning.
• Proven experience deploying ML models in production.
• Strong knowledge of statistical analysis and predictive modelling.
• Experience in credit risk modelling and model governance is an advantage.
• Familiarity with MLOps and AI-assisted development tools.

Responsibilities

• Develop and optimise predictive models for credit risk, fraud detection, and customer segmentation.
• Analyse complex datasets to identify trends and improve model performance.
• Manage model documentation, validation, governance, and approval processes.
• Build and maintain model deployment pipelines and monitoring frameworks.
• Lead data science initiatives and mentor junior team members.

Skills

Data Science

Machine Learning

Model Deployment

MLOps

Statistical Analysis

Communication

Job description

Job Overview

We are seeking an experienced Data Scientist to develop machine learning models and analytical solutions that support credit risk assessment, fraud detection, and data-driven business decisions within the financial services sector.

Key Responsibilities

• Develop and optimise predictive models for credit risk, fraud detection, and customer segmentation.


• Analyse complex datasets to identify trends and improve model performance.


• Manage model documentation, validation, governance, and approval processes.


• Build and maintain model deployment pipelines and monitoring frameworks.


• Lead data science initiatives and mentor junior team members.

Requirements

• At least 5 years of experience in data science or machine learning, preferably in fintech or financial services.


• Proven experience deploying machine learning models in production.


• Strong knowledge of statistical analysis, predictive modelling, and machine learning.


• Experience in credit risk modelling and model governance is an advantage.


• Familiarity with MLOps and AI-assisted development tools.


• Strong analytical, problem-solving, and communication skills.