We are looking for a full-time research analyst to develop and enhance credit default models and to analyze commercial finance data for our leading online small business lending platform.

Company Profile: Dealstruck is a web-based peer-to-peer lending company (P2P) that provides small businesses with innovative funding solutions that are fair, transparent, and flexible. The platform serves business borrowers who are not eligible for bank financing and limited to costly non-bank options. Our goal is to deliver a suite of products with pricing, structures, and terms that more accurately reflect the underlying creditworthiness of growing small businesses than do current non-bank alternatives. Dealstruck currently offers term loans and lines of credit, and is located in Carlsbad, CA.

Position Summary: The Research Analyst role is a newly created position that will be a key member of Dealstruck’s efforts to develop unique credit models applicable to a newly defined segment of the small- and medium business (SMB) market. The Analyst will work directly with our Director of Risk Analytics, a Stanford University professor with deep expertise in financial and risk analytics.

Location: San Diego, CA
Position Type: Full-time Employee (might start with an internship)
Reports to: Director of Risk Analytics

Responsibilities:
Develop, enhance, implement and test innovative models to forecast default probabilities and portfolio risk metrics for small- and mid-ticket commercial lending transactions
Identify, research, procure, and analyze 3rd party data sources to augment modeling efforts, including both publicly available and privately held databases
Design, perform and present empirical analyses of relevant data sets
Collaborate with the engineering and underwriting departments to build and manage Dealstruck credit-analytics engine
Build and manage credit and underwriting data infrastructure
Author white papers on topics relating to credit analytics in SMB finance, as well as on our own internal findings

Requirements:
Graduate degree with a focus in quantitative finance, statistics, data science or a quantitative field required
Strong knowledge of statistical and econometric analysis of financial data
Experience with statistical software such as R, Stata, SAS, SPSS, or similar
Strong self-starter, motivator, highly collaborative team member;
Innovative and creative thinker;
Ability to adapt in a dynamic, fast-moving startup environment

Benefits:
Competitive salary based on experience
Medical, dental, vision
Potential for stock options

If you are interested, please send your CV to kay@dealstruck.com