Senior Data Scientist – Risk Analytics

Almr Business Consulting Group; Singapore; On-site; SGD 90,000 - 180,000; Full time

Job summary

Almr Business Consulting Group is seeking an experienced Data Scientist to develop machine learning models and analytics solutions for credit risk assessment, fraud detection, and data-driven decision making within the financial services sector.

You will build predictive models, analyze complex datasets, and manage end-to-end model governance, deployment, and monitoring. The role also involves mentoring junior team members and leading data science initiatives.

Qualifications

• 5+ years of experience in data science or ML, preferably fintech/financial services.
• Proven experience deploying ML models in production.
• Strong knowledge of statistical analysis, predictive modelling and ML techniques.

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

Predictive Modelling

Credit Risk

MLOps

Tools

Python

Pandas

Scikit-Learn

TensorFlow

SQL

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.