Project Manager - Machine Learning - Banking

We have openings with Banking clients.

Location : Bangalore

Qualification : Phd/MS/MTech/MA (Economics/Statistics/OR)

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.

Qualifications:

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

- 5+ 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).

Interested individuals are requested to send your resume ASAP.

Kushala Jagadish
Careernet Technologies