AVP - Data Science - BFSI

Roles and Responsibilities :

Ideal candidate would have experience in leading and conducting hands-on quantitative analytics solutions; experience in leading/conducting complex quantitative model development initiatives using a diverse set of techniques and tools will be a plus; 8+ years of related business and technical experience in the development and operationalization of quantitative solutions, processes and tools.

- Provide analytic thought leadership to the identification of pilot concepts in analytic game changing areas.

- Analytic leadership to develop an end-to-end technical solution independently

- Extensive experience in data manipulation and developing analytic solutions using SAS, R or other programming/script languages

- Leverage commercial data mining/visualization tools to develop actionable business solutions

- Develop innovative business solutions to assist in the acquisition, retention, growth, and deepening of relationship.

- Opportunity to lead cross-business, cross geographical pilot teams to initiate, design and develop innovative business solutions to assist in the acquisition, retention, growth, and deepening of relationship.

- Leverage pilot results, business experience and knowledge to drive actionable intelligence with senior management.

- Develop and evaluate pilot results from both a financial perspective and customer behavior trend view for roll-out recommendation.

- Develop business case for roll-out recommendation and adoption plan.

- Develop robust project management process and standardized reports to track/monitor program results and adoption progress.

- Provide analytic thought leadership for ongoing modifications/updates/enhancements of business solutions to align to business priorities.

Qualifications

- Advanced degree in Quantitative disciplines (Statistics/Economics) OR Engineering/Sciences with MBA

- 8+ years related experience.

- Experience with SAS, R or other programming/script languages

- Experience with data mining/visualization tool including SAS JMP, Cognos, Tableau etc.

- Strong Presentation skill

- Proven Project Management and Leadership skills; strong Influence skill

- Demonstrated high level of proficiency with Microsoft Office Suite (Excel, Powerpoint, Word).

- Very strong written, verbal and analytical skills required.

- Ability to interact with Senior Management

- Experience in Big data analytic environment is preferred.

- PhD in any advanced quantitative modeling oriented discipline OR BE/Masters with relevant years of experience in Machine learning, Statistics, Marketing Science, Operations Research, Econometrics, Stochastic Finance, Distributed and parallel computing, Digital media analytics, etc.

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

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

- 8+ years of 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 corporate or in consulting companies in analytics roles.

Sound knowledge and application in as follows:

- Advanced statistical methods including complex multi-variate statistical methods, discrete choice modeling, conjoint based analysis

- Machine learning including Bayesian methods, reinforcement learning, Neural networks, Support vector machines, Hidden Markov Models, relevance vector machines, Probabilistic/ Evidential Reasoning

- Operations Research (Queuing, Markov Models, DEA, Integer Programming, Dynamic programming, Stochastic Programming, Game theory)

- Macroeconomic modeling, Leading indicator analysis, Long term and near term Forecasting, Time series based methods, Bayesian multivariate regression methods, ARCH/GARCH/VAR models and other advanced regression methods, Mathematical economics, System dynamics, Stochastic control, Nonlinear dynamic models, etc. Prior practical industrial scale modeling exposure is a must.

- Advanced quantitative methods relevant to modeling consumer experience in the digital world. Experience in web log mining for visitor segmentation, visitor behavior modeling, common path analysis, conversion analysis, abandonment analysis, promotion analytics, buzz analysis, sentiment analysis, social networking analysis etc is a must.

- Latent class models, Multivariate logit/probit/tobit models, Multinomial logistic models, Marketing mix modeling, Hidden Markov models, Conjoint methods, Market research and optimization methods.

- Prior experience in customer mindset modeling, customer loyalty, customer choice, brand equity, advertisements/promotion mix, etc is a must.

- Parallelizing existing traditional or modern (machine learning) based algorithms, Randomized algorithms, Simulations and Simulation based methods including Markov Chain Monte Carlo, parallel and distributed simulations, next gen optimization methods, etc.

- Knowledge of Hadoop/grid based programming for large scale problem solving is a must.