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Quantitative Analyst
Ref No.: 17-05368
Location: WIlmington, Delaware
Position Type:Direct Placement
Start Date: 07/03/2017
Title: Quantitative Analyst
Location: Wilmington, DE (100% on site)
Duration: FULL TIME Permanent Placement
Start: ASAP
Interview Process: Phone Interview & Onsite Face to Face Interview

My client is looking for an analyst that will contribute to a team designed to push industry boundaries to deliver the most innovative approach to lending. The ideal candidate's skills are a hybrid combing business acumen and strategy with competence in statistics, new data sources, modeling, computer science, and analytics.

He or she will combine these skills to create strategies designed to optimize marketing spend, drive growth, and increase profitability; creating best-in-class marketing frameworks based upon various supporting analyses and research including customer segmentation, competitive analysis, marketing models, underwriting models, and historical campaign performance.

A successful candidate will contribute to the innovation, creation, and launch of value-adding products that uniquely leverage the vast amount of data resources my client has access to. For instance, this role will be charged with driving new customer growth through direct marketing efforts for both traditional branch channel as well as the digital channel, while continuously enhancing the product. A successful candidate will come up with new answers to old questions, develop insights, and push the traditional boundaries of the lending industry.

Key Responsibilities:

· Utilize analytic tools (i.e. Unix, SAS, SQL, CHAID, Python, and Open Source tools such as R coding) data query tools to build, test, evaluate, and maintain robust data analysis and reporting for management to make timely, informed decisions.
· Analyze data and create and validate assumptions that feed into volume growth and profitability strategies
· Draw conclusions by making recommendations for developing or modifying existing strategies.
· Incorporate response models and underwriting models into marketing programs
· Continually enhance existing scorecards

Details:
  • 3-7 years of experience
  • Needs individual contributor, not managing anyone
  • 1+ years of coding experience not just digital side
  • intermediate-superior coder, need a doer
  • be able to do it in an efficient way
  • understand alot of the techniques and take big data sets and handle/massage them down to usable data
  • take data and create alot of different cuffs to the data and look at it in more then one way
  • take data and make comparisons to previous data and translate that data into something that they can do with it.
  • SAS or R coder that can take data and connect to business data to figure out the behavioral drives that you get out of the UI but tie into the application account performers to make sure they can transfer
If interested please send an updated copy of your resume to Nina at nina.magan@mondo.com