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Data Strategy Advisor for Financial Services Company

Industry Financial Services

Specialization Or Business Function Finance (Fraud Identification and Prevention), Risk and Compliance (Credit Risk Analysis), Pricing and Actuarial (Loss Models)

Technical Function Data Engineering, Analytics (Predictive Modeling, Risk Profiling)

Technology & Tools

WORK IN PROGRESS

Project Description

We need a data scientist to advise us on our data strategy. This includes our current approach to data capture (including what pieces of information we should be tracking) as well as a strategy / timeline for implementing a new automated pricing and underwriting tool to improve our underwriting process.

We are a small, fast-growing merchant cash advance company. We need someone that has deep expertise in data science, a strong business acumen, and extensive experience in financial services - preferably with some experience with merchant cash advance companies. 

We are currently rolling out a new internal application that will track all aspects of the underwriting process in a SQL database. Prior to the application launch, most of our underwriting data is stored in PDF forms on our internal network.

The deliverable we are looking for is advice on:

  • What data we should be tracking with the launch of the new application
  • Approach to converting previous PDF data into a format that is able to be analyzed
  • Timeline / strategy for implementing an automated underwriting model based on this data

Project Overview

  • Posted
    February 05, 2017
  • Planned Start
    March 01, 2017
  • Preferred Location
    United States

Client Overview


EXPERTISE REQUIRED

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