AVP/VP - Machine Learning - NextGen for a Captive at Bangalore

Role Outline/Job Summary :

The role of Assistant Vice President is based at AAS - Bangalore Center and reports to the VP/SVP leading the team.

In this role you will have the opportunity to :

Innovate : Develop cutting edge not as yet explored solutions

Experiment with New Technology : Play with the newest Decision Sciences tools e.g. Python, R, Spark, etc.

- Create Impact across businesses : Developed analyses/tools will have impact not only within Retail Services but also on businesses across the globe from APAC to EMEA

Learn & Develop : Work with best in-class analytics and leadership team with diverse skills ranging from various statistical technique including machine learning, text mining, etc.

Move and Grow : The leadership team is focused on career mobility of its individual team members which will enable the candidate to build a career both horizontally as well as vertically i.e. across geography (APAC, EMEA, North America), across businesses (Retail Bank, North America Branded cards, etc.), across domains (Data Sciences, Analytics, Reporting, Operations), across functions (Risk, DM, Marketing)

Culture : Work in a fast-paced culture that is dynamic, aspirational, fun-loving but at the same time fosters a work-life balance

Role and Responsibilities :

Objectives :

- Provide analytic support to the business teams, understand the business context and formulate and execute appropriate analytical approach(es) to address the business situation. Independently manage end to end partner communication.

Core Responsibilities :

Relationship Management : Interact regularly with Partner leadership to set and manage expectations aligned to group capabilities and work to deepen existing relationships.

Planning : Participate in formulate site level operating plan. Develop and communicate strategic and operational goals and plan for the team.

Talent Management : Own resourcing strategy for the team and help AAS leaders to balance resource allocation across the site. Invest time and effort to develop talent for AAS.

Organizational Development : Institutionalize analytic learning's across the site. Anticipate business demands and undertake initiatives to develop site capabilities aligned to the business requirements.

Communication : Effectively communicate strategic considerations with team, partners and senior management.

Day-to-Day Responsibilities :

- Collaborate with business teams to understand the challenges and innovatively come up with solutions to meet their requirements

- Provide technical leadership and subject matter expertise to Decision Management globally

- Institutionalize the domain knowledge by producing patentable solutions for the organization

- Keep abreast of the latest developments in the analytic space across industries for potential uses

POC Execution : Work on multiple project/unstructured problems businesses are facing across markets, look at providing solutions that go beyond traditional methods - Using advanced technologies and new data sources

Financial/ Budgetary : No

Individual Contributor (IC)/Managerial : Managerial

Key Deliverables :

- Proven problem solving skills in industrial settings is a must

- Proven ability in model building and application experience in data mining techniques and tools (SAS and/or other modelling packages like R, Matlab, Mathematica, ILOG etc)

- Competent programming aptitude with excellent computation and data mining skills - Exposure to R, Python, SAS, SPSS, Java

Exposure to

- Big Data/HADOOP - Expertise in HIVE/PIG, Java

- Text Analytics - Ability to synthesize unstructured data and find actionable themes/insights - exposure to SPSS/Python/R

- Pattern Mining/Detection

- Machine Learning Algorithms

- Understanding of financial domain is preferred

- Ability to translate and articulate technical thoughts and ideas to a larger audience including influencing skills with peers and senior management

- Proven ability to implement advanced technical solutions in the business operational environment.

- Self-motivated to continuously upgrade one's domain knowledge, keep abreast of latest developments in the field and evaluate its application in the business area on a consistent basis.

- Exceptional commitment to stay focused in one's pursuit towards excellence with demonstrated results of the same.

Percentage of Travel : No

Relocation : Yes

Qualifications :

Education :

- Field of post-graduation - Computer Science, Mathematics, Operations Research, Statistics, Econometrics, Management Science and related fields. Could be any graduate degree holder.

Experience :

- Strong academic record and publications in reputed journals or conferences.

- Experience in the field of advanced quantitative techniques while working for leading global academic institutes or corporate innovation research labs or analytics organizations of large corporates or in consulting companies in analytics roles.

- Exposure to 2 or more of the following fields

- Big Data/HADOOP - Expertise in HIVE/PIG, Java

- Text Analytics - Ability to synthesize unstructured data and find actionable themes/insights - exposure to SPSS/Python/R

- Pattern Mining/Detection

- Exposure to Machine Learning Algorithms

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