American Express - Manager - Analytics - Machine Learning (7-10 yrs)

Qualifications

- Master's degree in Analytics, Statistics, Operations Research, Computer science, Engineering, or other related fields with atleast 3-4 years of experience in the data and analytics

- Technical experience with analytic coding techniques, visualization tools and creating reporting dashboards

- Strong experience in Python environment and libraries (scikit, nltk, pandas and numpy). Working knowledge of statistical/data mining analysis tools, relationship databases and programming languages within the Big data environment

- Hands on knowledge of SQL/Hive QL, Visualization tools like Tableau, Power BI

- Experience with advanced analytic methods, such as machine learning, forecasting, cluster analysis, or pattern matching

- Track record of analyzing multiple sources of data to distill insights and drive business outcomes to help improve Customer Satisfaction

- Self-starter along with passion for continuous Innovation with a view to drive organizational improvements & impacts

- Excellent storytelling and visualization skills

- Extensive business process experience in the financial services industry, including an understanding of related products, services, features, economics and key regulations

- Aptitude for working with data, interpreting results, business intelligence and analytic best practices

Key Responsibilities

- Translate business risks, controls and supporting data into analytic requirements and partners with colleagues to build effective analytics and insights

- Responsible for multiple simultaneous audit projects of all sizes and complexity across multiple business areas within and outside of local region, in unfamiliar areas, and for different audit leaders

- Link analytics and insights to ongoing strategic initiatives

- Apply proven/advanced data algorithms, advanced analytic and modeling techniques to draw insights essential to driving improvement initiatives

- Leverage Machine Learning to learn and identify patterns, early warnings, predictions about aspects/processes touching our customers, from the wide range of Operational, Customer behavior and other structured as well as unstructured data available to us

- Writing, debugging and compiling codes in multiple Machine Learning environment and not limited to Python/Pyspark, Apache Spark, etc.

- Prototype and simulate use cases for Advanced analytics, ongoing & proactive assessment of analytic results in partnership with relevant teams, leveraging data to tell compelling business stories, with a keen focus on impact & insights