AVP - Marketing Analytics - Credit Cards Segment

AVP - Marketing analytics(Credit Cards)

What's expected from you?

As a senior analytics technology leader, we are seeking a candidate who should be able to perform below behaviors in their day to day role:

Data obsession - Own data platforms to streamline data creation, management and maintenance to govern the organization data and make it available in most compliant manner to analysts in conjunction with our technology partners.

Technology leadership - Manage team members and technology partners and their deliverables to fulfill analytics business projects

Client Obsession - Create client centric analytic solution to business problems. Individual should be able to have a holistic view of multiple businesses and develop analytics solutions accordingly.

Analytic Project Execution - Own and deliver multiple and complex analytic projects. This would require an understanding of business context, conversion of business problems to formulate analytical methodology, identifying trends and patterns with data

Stakeholder Management: Experience in stakeholder management across various functions and regions.

Presentation Skills : Delivering high class presentations to share the thoughts, the solutions or the problem statement to business stakeholders and senior management

Project Management - Should have skillset to manage project in terms of creating project plan, assigning responsibilities,

Skill set you should possess:

- The most important skill that our analyst should possess is their love for data and their eagerness for new challenges & solving new problems. Apart from these, they should also have the following skillset

Basic Qualifications:

- Degree in computer science, engineering, mathematics, operations research or other quantitative field and strong relevant industry experience

- Preferred masters in above fields

- 5+ years of industry experience in the field of ML/data science with using variety of ML techniques such as supervised, unsupervised, deep learning and NLP

- Has the ability to analyze and interpret modeling results

- Experience with ML open source tools and APIs like Scikit-Learn, Tensor flow/ keras, Numpy, scipy, pandas, matplotlib, just to name a few.

- Experience with NLP open source tools like NLTK, Gensim, spaCy, TextBlob, etc.

- Experience with Big data technologies like Hive, PySpark, etc.

- Experience with AutoML Technologies, specifically, H2O Driverless AI

- Experience with data munging, manipulating large datasets, data engineering and visualization

- Demonstrated strong coding and programming abilities for at least Python, SQL, and Linux

- Understanding of statistics and probabilities

- Good communication skills with ability to write proper documentation, and team player

- Experience/understanding cloud platform like AWS is a plus

- Ability to work on projects without continuous supervision in individual capacity

- Experience in working on Credit Cards and Retail Banking products is a plus

- Control orientated and Risk awareness