Senior Decision Science Analyst - ML & Big Data (Hybrid)

American Express; Singapore; Hybrid; SGD 80,000 - 100,000; Full time

Job summary

A leading financial services firm in Singapore is looking for a Decision Scientist to join their Credit and Fraud Risk organization. This role involves developing predictive models and insights to enhance customer experiences across digital platforms. Candidates should have a Master's in a quantitative field, expertise in analytical languages like Python, and strong communication skills. The position offers a flexible working model and competitive benefits. Join a diverse team committed to driving intelligent decision-making with big data and machine learning.

Benefits

Competitive base salaries

Bonus incentives

Comprehensive medical and dental benefits

Flexible working model

Career development opportunities

Qualifications

• Masters in a quantitative field or MBA with analytical experience.
• Expertise in analytical languages such as Python or R.
• 1-2 years experience in AI/ML or Data Analytics.

Responsibilities

• Build reports and machine learning models to improve customer experiences.
• Work with product owners on data-driven product design.
• Collaborate with tech partners to deploy modeling solutions.

Skills

Analytical language expertise (Python, R)

Machine learning/statistical algorithms

Communication skills

Team collaboration

Attention to detail

Education

Masters in a quantitative field

MBA with analytical experience

Tools

SQL

Big Data tools

Data visualization software

Excel

PowerPoint

Job description

A leading financial services firm in Singapore is looking for a Decision Scientist to join their Credit and Fraud Risk organization. This role involves developing predictive models and insights to enhance customer experiences across digital platforms. Candidates should have a Master's in a quantitative field, expertise in analytical languages like Python, and strong communication skills. The position offers a flexible working model and competitive benefits. Join a diverse team committed to driving intelligent decision-making with big data and machine learning.