Hiring For Analytics Lead

Solution and deliver analytics offerings for the bank to drive revenue or enable cost optimization. Build models, move them to production and maintain/ enhance on an ongoing basis in production. Become an analytics consultant and evangelist within the bank finding analytical solutions to business problems.

Position Responsibilities 1 Work closely with the data warehouse team/other business teams to obtain relevant data for implementation. Be comfortable working with structured / unstructured data sources and be conversant to perform secondary research to explore third party data sources to enrich existing data

2

Support the overall digital acquisition strategy by focusing on segmenting/ predicting response rates for leads which are a pre-requisite for improving response rates 3 Create/supervise building of models around channel migration ,cross sell , upsell and support the overall customer engagement strategy

4

Support the implementation of various technology(recommendation engine, campaign management solution, CRM) /data enablers(Creation of data sets ,mart etc) for the analytics practice within the bank 5 Implementation of specific use cases on big data platforms .

B. Qualifications and Experience Requirement Qualifications

Essential

Graduate (B.E /B.Sc Stats/M.Sc Stats or equivalent)

Experience

Essential

• 8 - 10 years in the analytics space

• Managed diverse stakeholders from various teams, in complex environments

• Grasp of basic Supervised/ Unsupervised ML algorithms and a demonstrated ability to learn quickly

• Thorough understanding of banking domain would be a plus point

• Experience in working with SQL & R/other similar statistical programming languages .Knowledge of other statistical programming languages like Python will be an added advantage

a. Skills Skill Attribute

Team player, detail oriented, self-motivated individual

Candidate should have a strong understanding of analytical modeling techniques and statistical concepts that are relevant to the application and evaluation of models.