01/09 Karan Madhok
Manager - Risk/Digital & Analytics Practice at Michael Page India

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SM/AVP - Big Data Analytics - Banking - IIM/IIT (6-9 yrs)

Delhi/NCR Job Code: 252967

About Our Client:

Our client is a leading global financial services giant. As part of expansion of their global analytics team, they are looking for a seasoned analytics professional that can play a critical role in building their Data Sciences practice.

Job Description:

Reporting into the director, you would be responsible for leading a time while performing the following responsibilities:

- Develop next generation of decision sciences models and undertake cutting edge advanced analytics work

- Develop high impact data products & digital strategies to leverage the firms Big Data capabilities

- Craft and explore value of diverse data (internal and external) to drive next generation data science products

- Measure and monitor the organization's risk exposure through the use of mathematical models and the ongoing evaluation of the organization's loan portfolio

- Provide direction and guidance to specialists in all aspects of portfolio review and strategy

The Successful Applicant

- Bachelor's/Master's degree (Computer Science, MIS, Math, Statistics, Engineering) from top tier institutes like IITs, IIMs, DSE

- 6+ years of experience in Big Data and Machine Learning techniques along with experience of working in a financial services domain

- Strong analytical skills in conducting sophisticate analysis using bureau/vendor data, customer performance data and marketing data to solve business problems

- Solid exposure across Hadoop, Mongo DB, Pig, Hive, Python, SAS, SQL, UNIX, etc

What's on Offer:

The role gives the candidate a chance to work in the Big Data space for one of the largest credit card issuer in the world. The individual would form part of the Leadership team and responsible for contributing towards the vision of the organization

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

Women-friendly workplace:

Maternity and Paternity Benefits

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