Director, Decision Science

Company: E*TRADE Financial
Location: Jersey City, NJ
Web: us.etrade.com/e/t/home

Professional Area: Marketing
Internal Code: IRC27058

Company Overview
In 1983, the first online trade was placed using early E*TRADE technology. Today, E*TRADE FINANCIAL is a global financial leader, delivering value and innovation to millions of customers in more than 40 countries worldwide.

We are looking for highly energized, dynamic professionals who are ready to join a fast-paced, world leader in the financial services industry. We move at the speed of the Internet. Our work culture fosters an incredible exposure to innovative ideas and challenges that create experience and opportunity. Many have risen through the organization to become industry leaders, in both the financial services world and in the community at large. E*TRADE is made up of some of the brightest and most talented people in the industry - are you ready to join the industry leader?

Job Description
The Director, Decision Science is responsible for managing a team in developing and operationalizing analytical strategies for customer acquisition, retention and engagement. Implementation of these strategies will include, but not be limited to, online display, paid search, direct mail, email, etrade.com, customer service and sales. Team leverages complex predictive models using cutting edge techniques in statistics, econometrics and/or computer science to forecast product preference, response behavior, and usage pattern of existing and prospective customers as well as creating metrics to track and measure effectiveness of predictive models.

Essential Job Duties:

• Team management
• Online / Cross-media spend optimization
• Direct marketing model development
• Ad hoc business analyses and strategic analytical guidance

• 7+ years of marketing analytics experience in a direct response environment
• 3+ years management experience
• Financial services experience preferred
• Digital marketing experience preferred

• Ability to manage, lead, and mentor a team of data analysts to maximize productivity and deliver results
• Strong knowledge of advanced statistical principles such as linear regression, logistic regression, univariate and multivariate analysis, principle component analysis, discriminant analysis, and experimental design
• Working knowledge of one or more of the most advanced data mining tools such as decision trees, neural network, genetic algorithm, and linear and non-linear mathematical optimization
• Strong knowledge of the digital marketing landscape: data sources, limitations, attribution models, etc.
• Proven ability to develop sophisticated forecasting models
• Superior analytical skills with ability to solve complex problems and execute on solutions
• Strong business sense with ability to understand multi-dimensional business problems and develop innovative and practical solutions to deliver superior business results
• Strong drive to implement solutions in the most efficient manner, working with business partners throughout the company to assist in process development and implementation
• Proficient in SAS/Base, SAS/STAT, SQL, UNIX and Microsoft office.
• Extensive experience with large data sets and data manipulation.
• Strong oral and written communication skills
• Excellent interpersonal skills - able to communicate effectively with all levels within the organization
• Ability to multi-task, handle multiple projects with demonstrated follow-through
• Able to handle ambiguous work environment and operate with little supervision
• Strong computer skills
• Project management skills

• Graduate degree in quantitative fields such as statistics, economics, mathematics, computer science, operations research or MBA from a top business school
• PhD preferred