Client - Financial Services 

Title - Quantitative Analyst 

Location - NYC, Wilmington DE, Baltimore MD (Hybrid)

Job Description: 

• Reporting, strategy implementation, strategy validation and ad-hoc analyses including customer segmentation, competitive analysis, sensitivity analysis and modeling, and performance read.
• Expand competencies and grow business / industry acumen
  Demonstrate the ability to work on complex processes or projects across the end-to-end project cycle.
• Gain knowledge to suggest new answers to old questions, develop insights and push the traditional boundaries of the lending industry.

Key Responsibilities:

• Under your manager’s limited guidance, you will design, recommend, document and execute consumer credit underwriting and pricing strategies via extracting and analyzing requisite historical customer performance data from multiple disparate systems.
• Utilize data query tools (i.e., R, SAS, SQL, MATLAB, Python) and decision tree analytical software to develop, test and execute new strategies.
  Leverage traditional regression model and machine learning algorithm to understand the key drivers and estimate customer behaviors by different strategy treatment
• Drive profitable business growth via developing strategy optimization framework with full credit-cycle view
• Implement Quality Control processes to ensure data accuracy.
• Continually enhance existing processes and reporting through automation, quality control, presentation and insights.
• Effectively summarize and present results and insights to management.

Qualifications:

• Bachelor Degree (Graduate Preferred) in a quantitative discipline, such as Engineering, Statistics, Economics, Business Management or Computer Science is preferred.
• 4+ years of experience in complex, data-driven problem solving. Master’s or PHD degrees may offset experience.