Analyst, Data Science

AMERICAN EXPRESS INNOVATION LABORATORIES LIMITED (Singapore Branch); Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

A global financial services company in Singapore is seeking a Decision Science professional to develop models and algorithms that enhance customer experiences. The role includes building reports, collaborating with tech partners, and innovating solutions in a big data environment. Ideal candidates possess a master's degree in a quantitative field and experience in AI/ML or data analytics.

Qualifications

• Masters required in Computer Science, Statistics, Mathematics, or related fields.
• Expertise in analytical languages like Python or R.
• Deep understanding of machine learning/statistical algorithms.

Responsibilities

• Build reports and advanced machine learning models.
• Collaborate with tech partners to implement modeling solutions.
• Maximize decision-making relevance within the Amex network.

Skills

Python

R

Machine learning

Data visualization

Statistical algorithms

Communication skills

Attention to detail

Education

Masters in a quantitative field

Masters in Business Administration

Tools

SQL

Hive

Excel

PowerPoint

Job description

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities, and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

Functional Description

Decision Science colleagues will serve as a key member of the Credit and Fraud Risk organization. We seek a thought-leader and a problem-solver who can blend business, technical, and industry standard methodologies when it comes to developing the analyses, models, and algorithms that power our customers’ digital experiences. This critical team is responsible for handling enterprise risks throughout the customer lifecycle, across our consumer and commercial businesses, and across all our global products. We develop industry-first data capabilities, build profitable decision-making frameworks, create machine learning-powered predictive models, and improve customer servicing strategies.

Our Decision Science teams use industry leading modeling and AI practices to predict customer behavior. We develop, deploy and validate predictive models and support the use of models in economic logic to enable profitable decisions across credit, fraud, marketing and servicing optimization engines.

Responsibilities:

• Build everything from basic reports to advanced machine learning models and algos to drive improvements to our customer’s online and mobile app experiences.
• Work with product owners to redefine the product and content design with a data-driven approach
• Collaborate with tech partners to test, implement and deploy modeling solutions to production system
• Develop insights into customer behavior and introduce new approaches to transform complex behavioral data into useful information
• Maximize the power of closed loop through Amex network to make decisions more intelligent and relevant
• Work with extensive amounts of digital data (Web, App, API) , External data and sophisticated tools in an industry leading Big Data environment.
• Innovate with a focus on developing newer and better approaches using big data & machine learning solutions

Qualifications:

• Masters in a quantitative field (Computer Science, Statistics, Mathematics, Physics, Operation Research and etc.) or Masters in Business Administration with hands-on experience using sophisticated analytical and machine learning techniques.
• Expertise in an analytical language (Python, R or the equivalent), and experience with databases (Hive, SQL, or the equivalent). Knowledge of SAS is a plus but not required.
• Deep understanding of machine learning/statistical algorithms such as deep learning and boosting. Experience with data visualization is a plus
• Proven ability to frame business problems into mathematical programming problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solution and deliver business insights.
• Ability to work effectively in a team environment
• Independent thinker who’s organized, has great attention to detail, and can multitask
• Strong communication skills
• Preferably 1-2 year of experience in AI/ML or Data Analytics
• Ability to learn quickly and work independently with sophisticated, unstructured initiatives
• Ability to integrate with cross-functional business partners worldwide
• Proficient in presentation tools, including Excel and PowerPoint