SUMMARY

The Decision Science Modeler/Analyst will develop predictive modeling solutions that enhance the targeting process and optimize marketing campaigns in the financial services industry.  This role will analyze, model, and interpret data and deliver recommendations to improve acquisition and conversion rates and deliver increased revenue.   

RESPONSIBILITIES

· Develop statistical modeling solutions that drive incremental revenue

· Develop data-driven recommendations in targeting, segmentation and audience selection

· Communicate data driven insights through analysis, reporting and data visualization

· Develop insight into the financial service marketplace including micro and macro trends

· Identify, research and present insight into current and future marketing trends

· Provide support on various areas through ad hoc reporting

REQUIREMENTS

· 5+ years of experience using SAS to develop predictive models  

· Excellent SQL skills to work with in-house data warehouse and 3^rd party data sources

· Experience working with financial reporting data, (FICO scores, Credit Bureau data, etc.)

· Skilled with Tableau, QlikView, or other data visualization tools

· Proficient in PowerPoint, Word and Excel

· Ability to work well independently and as part of cross functional team

· Excellent communication and presentation skills

· BS in math, statistics, computer science, or related analytical discipline – MS preferred

PREFERRED SKILLS

· Hands on experience with Python or R

· Strong interest in Data Science, Machine Learning and Analytics

There is potential for remote work for candidates within occasional commuting range to NYC or Rhode Island.

This is full time role – no third party candidates will be considered