Sr Analyst/Specialist/Lead - Modeling/Statistics - BFSI

Roles & Responsibilities:

The candidate should have superior problem solving skills. The ability to understand a business problem & translate into statistical one is a must.

He/she should be able to decide on the best modeling/analysis techniques and provide actionable insights/ model algorithms to the business.

Details:

- Model development & Deep-dive Strategic Analysis:

- Data extraction: Extract data from appropriate sources in a complex warehousing environment. Require in-depth knowledge of data elements.

- Data processing: Perform complex data processing (e.g. merging, sorting, data transformations) using SAS, Access, or other ETL tools on PC or Linux

- Profiling and analysis: Combine in-depth business knowledge, insights, and techniques such as data visualization, cross-tabs, statistical tests, and data mining techniques to identify customer or prospect needs, behavioral trends, product preferences, and up-selling, cross-selling, and retention opportunities

- Model development: Apply standard and cutting-edge techniques (statistical modeling, data mining, predictive analytics, machine learning, optimization) to identify drivers of a business metric (e.g. campaign response, attrition, propensity to buy, multi-channel marketing). Compare techniques using validation to arrive at the best model

- Model scoring and business applications of modeling/analytics:

- Insert developed models into the scoring process

- Work with tech groups to ensure quality

- Act as a consultant to the larger team and marketing sponsors on usage of models

- Provide analytical inputs to campaign design for direct mail, email and live channels

- Communication, Coordination & Presentation:

- Work with a consultative mindset to gather requirements from marketing sponsors and other team professionals to identify the right requirements

- Identify appropriate problem-solving approaches and get buy in from sponsors

- Work with tech groups to identify and resolve any data, infrastructure, or implementation issues

- Coordinate with other team professionals on model applications

- Communicate modeling and analysis results and provide professional presentations to marketing sponsors in a simple yet actionable manner

- Manage contractors, when appropriate

Experience and Qualifications:

Preferably PhD in Statistics/Management science/Econometrics/ Operations

- Research/Economics/Biostatistics/Finance/Marketing/Business analysis with at least 1 years of relevant experience; or MS/MA/MBA in Statistics/Management science/ Econometrics/Operations Research/ Economics/ Biostatistics/ Finance/ Marketing science/Business analysis with 4 - 7 years of relevant experience

Skills/Knowledge

- Data mining / predictive analytics / machine learning techniques

- Advanced statistics

- SAS (BASE, Unix, Stat, Eminer, Eguide, Model Manager)

- SQL/PostGres SQL

- Familiarity with Excel and Access

- Unix/Linux

- BRIO

- Knowledge of extracting and using data in warehousing environment

- Knowledge of banking/financial services business

- Marketing (including direct marketing) experience