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Director, Data Science

2 weeks ago


Singapore AMERICAN EXPRESS INNOVATION LABORATORIES LIMITED (Singapore Branch) Full time

**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.

**Business Unit and Role Information**

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 best practices when it comes to developing the analyses, models, and algorithms that power our customers’ digital experiences.

This role will lead a team responsible for developing, implementing, and tracking AI/ML models for driving enterprise digital personalization in prospect marketing and automating data capability and model governance.

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.

**The role will entail some of the below listed responsibilities**:

- Leading the core customer marketing models development for the Consumer business
- Planning and delivering of high-performing models, meeting deadlines and ensuring accurate, efficient implementation of models in production systems
- Ensuring all deliveries conform to AXP’s Model Risk Governance Framework and regulatory requirements and producing robust, clear documentation
- Performing annual reviews, performance monitoring reviews, retrains and remediation activity on models as required and planning for year-round governance activities - Exams, Audits, Annual Reviews etc.
- Handson experiences working with massive amounts of customer and external data and use sophisticated tools in an industry leading Big Data environment. Develop insights into customer behavior and introduce new approaches to transform complex behavioral data into actionable information
- Collaborate with tech partners to test, implement, and deploy modeling solutions to production system.
- Innovate with a focus on developing newer and better approaches using big data & machine learning solutions
- Close collaboration with business partners, to drive model advancements and to integrate models with business decisions to drive business impacts

**Minimum qualifications and skills required across role types are highlighted below**:

- Masters/PhDs in a quantitative field (Computer Science, Statistics, Mathematics, Physics, Operation Research etc.) with hands-on experience leveraging 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
- Minimum 7 years of experience in modeling, people leadership experience is a plus
- Demonstrated 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 multi-task
- Strong communication skills
- 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