AVP - Specialized Analytics Manager - Financial Services

Position Title: AVP

Primary Location: India, Karnataka, Bangalore

Shift: Day Job

Experience :

- 7-10 Years exposure to Financial Services

- Candidate should have worked in any of the following domain: (Credit Cards, Retail bank, Mortgage, Lending/liability product)

Education :

Highly numerate, as demonstrated by Masters in a numerate subject such as Mathematics, Operational Research, Business Administration, Economics etc. from Premier Institute or a track record of performance that demonstrates this ability

Analytical Skills :

- Proficient in Formulating Analytical methodology, identifying trends and patterns with data

- Business Impact Analysis

- Hypothesis testing, Knowledge of Segmentation

- Basic Knowledge of predictive modelling

- Knowledge of R, Python, and Machine Learning techniques

Tools and Platforms :

- Proficient in MS Excel, PowerPoint

- Proficient in SAS, SQL, SAS JMP/Knowledge Seeker

- Familiarity with RDBMS - Teradata/ Oracle, etc.

Domain Skills :

- In depth understanding of Customer lifecycle Management within the financial services domain (Cards, Retail bank, Mortgage, Lending/liability product)

Role and Responsibilities:

Business/Department Objectives:

- Provide analytic support to the business teams, understand the business context, formulate and execute appropriate analytical approach to address the business situation

- Develop/ own comprehensive end to end solutions to address business problems

- Drive innovative analytical approaches across the broader team and conceptualize and execute solutions to ambiguous problems

- Independently manage end to end partner communication

- AVP will be leading one of the business teams the COE partners with, across LoBs and regions

Core Responsibilities:

Analytic Project Execution.:



- Build effective teams to deliver on business priorities

- Decompose business priorities into candidate projects

- Consult with partners to initiate project aligned to business needs

- Manage the project pipeline to ensure prioritization and resourcing

- Influence analytic approaches through learning's and insights

- Establish a structured interaction model with the partners