American Express's Finance Data Science & Analytics team needs to drive analyses and forecasts for key enterprise metrics and investment decisions by leveraging advanced modeling and analytics techniques to provide insights on current and future performance, specifically focusing on predicting, explaining, and drawing learnings from AXP P&L trends.
Requirements
- Advanced knowledge and experience of SQL, R, Python, PySpark, and/or other ML techniques
- 5 years of professional experience in data science, and working experience in statistical / ML models
- Proven track of driving business outcomes via predictive analyses, forecasting, and advanced analytics
- Ability to explain complex mathematical concepts to an audience of various backgrounds
Responsibilities
- Lead and mentor team members to develop predictive models from scratch as well as enhance existing models
- Research and experiment challenger models for prediction and inference
- Play an advisory role to enterprise-wide partners with a focus on financial model innovation
- Provide training and consultation to uplift the analytics and modelling rigour of the organisation
- Strengthen risk control and lead documentation and validation to ensure model compliance
- Design, build, and execute projects on advanced technologies and capabilities (e.g., ML, Power BI) to deliver value to the Finance colleagues and business partners
Other
- Experience in leading decision science teams, and knowledge of card economics preferred
- Strong analytical, organizational, and problem-solving skills with good attention to detail
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
- 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
- Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
