American Express | Finance Data Science and Analytics | gurgaon

Job Description

The Finance Data Science & Analytics (FDS&A) team drives strategic decisions for the business by applying statistical, innovative, analytical approaches and machine learning techniques. The candidate will be part of a quantitative finance team made up of highly talented individuals with strong intellectual curiosity. The essence of the work involves gathering, manipulating and synthesizing data (customer behaviors, transactions, attributes, etc.), predictive modeling and analytics to drive actionable recommendations. This is an excellent opportunity for an individual to work with the leadership team, gain deeper understanding of AXP business and build key business relationships.

Responsibilities include:
Leverage quantitative skills to provide decision support to business teams on Enterprise-wide forecasting for AR/ ADB and FCR, including, but not limited to, model ownership and results analyses
Propose and implement solutions to ad-hoc business problems independently, leveraging data and insights to play the role of strategic advisors
Lead Planning activities including Risks & Opportunities (R&O), Long-Range Plan (LRP) and Annual Plan as it relates to AXP AR, ADB, FCR and Total Interest Income
Deepen trust-based relationships with a variety of stakeholders and levels across the Enterprise, including, but not limited to EFP&A, BU FP&A, LFO teams and business partners
Lead multiple volumes-related initiatives concurrently while adhering to deadlines
Assist in developing/enhancing/automating Lend predictive modeling that incorporates card member behaviors and increased level of data granularity
Use machine learning techniques to improve forecasts and produce business insights; leverage visualization and reporting tools
Provide thought leadership into key findings and actionable recommendations to influence business strategy

Preferred Qualifications:
6 month – 8 years of experience preferred
knowledge on Python SQL is must have
Knowledge on Data science & Data Analytics
Education in Economics (H) preferred
Statistical/Predictive modeling knowledge and experience strongly preferred
Experience with data visualization tools preferred
Strong analytical, organizational, and problem-solving skills with good attention to detail
Bachelors/Masters or PhD in a quantitative field – Applied Mathematics, Physics, Engineering, Computer Science, Economics