Modellor

¥ Develop Models for client as per the agreed upon schedule

¥ Document modeling requirements based on discussions and information provided by client modeling lead/business users

¥ Develop models based on the model requirements definition , per the agreed upon schedule with client

¥ Improve existing models, per the agreed upon schedule with client

¥ Provide model documentation (model delivery document) with model delivery

¥ Assist in implementation support based on schedule agreed with client.

Role Requirement:

¥ Individual Contributor role for developing new and enhancing existing risk scorecards (application, behavior, collections/recovery etc.) or Marketing Analytics modeling (customers targeting)

¥ Exposure in Online / Digital analytics & Text Mining

¥ Should have built 2-3 risk/marketing models end to end

¥ Experience on Segmentation, Decision Trees

¥ Understand the statistical concepts of variable imputation, variable reduction, multi-colinearity, bootstrapping etc.

¥ Create and maintain detailed model documentation

¥ Researching and applying new statistical techniques to improve predictive power of models

¥ Develop and maintain a relationship with business stakeholders

¥ Business Problem Solutions with Value addition to impact client businesses

¥ Project Management

¥ Team Management

¥ Contributions to Strategic Initiatives within Analytics practice

¥ Ensure the business operations run smoothly in the shop

¥ Keeping on track to meet the monthly budgets and targets

¥ Provide training for staff and new recruitments

¥ Excellent interpersonal skills

¥ Ability to work independently with minimum instructions

¥ Discretely handle confidential information

¥ Business Analysis

¥ Track all key business metrics

¥ Track updates on various business projects

¥ Carry out Revenue and Profitability analysis

¥ Prepare review decks and management decks

¥ Strategic Planning & Special Projects

¥ New capacity development and capacity management initiatives

¥ Provide business case support, analysis and recommendation for key opportunities

¥ Analyze data and make presentations to support decision-making

Industry experience

¥ Banking, Credit Cards, Marketing Analytics, Credit Risk Modeling

¥ Banking domain is a must

¥ Experience on working with Machine Learning techniques (Support Vector Machines, Genetic Algorithms, Random Forests, K-Nearest Neighbor algorithm, Principal Component analysis etc.)

¥ Minimum 3 years of experience in building models (data cleaning, dependent variable selection, independent variable study and understanding, variable reduction, bivariate analysis, variables grouping, logistic/linear model build, model validation, KS/Lift study/PSI etc.)

Education / Tool experience

¥ Master's degree in Statistics, Economics, Engineering, Finance, Mathematics, or a related quantitative field from tier 1 colleges

¥ Sound Knowledge of SAS, SQL and other analytical tools (R, SPSS)

¥ Proficiency in MS Excel

¥ Knowledge of MS Access, SQL & Visual Basic will be an advantage

¥ Good written and oral communication skills

¥ Time management skills to ensure internal/external expectations are met

¥ Strong Mathematical & Analytical ability/ skills

¥ Exhibit an outstanding ability to communicate

¥ Team Player

¥ Strong academic track record

OTHER IMPORTANT INFORMATION :

WORK LOCATION – NEW JERSEY

EXPERIENCE – Min 4 years

BUDGET – 80-100K US $

KEYWORDS- SAS + modelling , Marketing Analytics modeling

MANDATORY SKILLS- Banking domain must

NO POACH COMPANIES- None

INTERVIEW PROCESS- 2 Telephonic rounds + Face to face round

VISA STATUS - need green card/ work permit/residents

MANDATORY INFORMATION REQUIRED WHILE UPLOADING THE PROFILE (Pls note that without these details the profile will not be submitted to the client ) :

Candidate Name

Current Location

preferred Location

Languages Known

Companies worked for

VISA Status

Total experience

Relevant Experience

Email Address

Contact Details

Apply online by clicking on green label "I am Interested" 

or call if you have any question however applying online is the best way to apply.

US #  571-403-0435

India # 9999 883 470