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Credit Risk Analyst

Liberty Lending, LLC

This is a Contract position in Walton, NY posted December 2, 2019.

About Liberty Lending, LLC Liberty Lending, LLC is a leading online platform that provides innovative borrowing solutions to deserving customers.

The company, headquartered in New York City, was founded by people who truly understand “smart debt” and want to help consumers get ahead to achieve financial success.

Liberty Lending, LLC continues to innovate the lending process and provides a unique product mix to consumers in need that is hard to replicate.

Liberty Lending, LLC holds distinct advantages over other marketplace lenders from their customer acquisition channels and unique product mix to targeted customer, investor focus, and capital and infrastructure support.

Liberty Lending, LLC holds an A rating by the BBB and is a fast growing and reputable financial service provider in the FinTech sector.

We are actively looking for motivated team members to grow with us Key Responsibilities Utilize statistical and segmentation tools to develop acquisition risk strategies for personal loan products Retrieve data and conduct data-driven analytics utilizing various analytical tools, software and techniques Conduct NPV analysis and forecast loss curve for consumer lending product Track and analyze the performance of various tests and acquisition programs to evaluate the effectiveness Create Monthly management report tracking key risk matrix.

Partner with cross-functional teams to drive implementation of approved recommendations Present the analyses, findings, and recommendations to a broader audience including senior leaders in Risk Qualifications Advanced degree in Economics, Mathematics, Statistics, Econometrics, Operations Research, Industrial Engineering, Finance or other quantitative related field or MBA is required 1
– 2 years’ work experience in the analytical-related role.

Understanding of consumer credit risk management required Understand key drivers of consumer loan/credit card financials and the underlying consumer behaviors that drive those financials Good business acumen and the ability to connect analytical insights with business decisions SAS/SQL/R and/or Data Files & Data manipulation – experience in working with data and data manipulation tools Knowledge of segmentation tools like SAS Eminer/ Knowledge Seeker