Jobs

Company Background:
At ID Analytics, our business is what we call Identity Risk Management, which means helping organizations figure out whether individuals are who they say they are, and helping consumers to better manage and protect their identities. The company was built with an exclusive focus on detecting and preventing identity fraud. In fact, we've built a trusted third-party identity network that we call the ID Network. It's the only cross-industry identity fraud prevention system that is continually updated with millions of identity elements. By combining this unique asset with deep analytics and smart people, we have developed industry-leading solutions that stop identity fraud and create incremental revenue opportunities for our clients.

By joining our team, you will be working alongside some of the most talented people in the industry at one of the fastest growing companies in San Diego. We are a diverse and experienced team that is highly motivated, results-driven and dedicated to keeping ID Analytics at the forefront of Identity Risk Management. If you are a looking for a challenging and rewarding experience, ID Analytics is the place to be.

Position Summary
We seek a person experienced in data management in a highly analytical, data intensive environment. The person filling this position will be responsible for organizing, processing, cleaning, analyzing and QA around very large data sets in a mostly flat file unix environment. The candidate will have demonstrated skills in such data management and fundamental and advanced statistics, as well as knowledge or experience in modeling and data mining, and good organization and communication skills.

Principal Duties

• Responsible for the organization, layout, updating and QA of the analytics data library - a collection of very large, mostly flat files of account-level data spanning multiple industries and years.
• Regular processing of incoming client data: parsing, basic statistical analysis, field cleaning, QA, reformatting, organizing and then updating the library
• Domain-specific data interpretation and modification, such as processing of credit delinquencies, defaults, frauds etc.
• Design, fielding and monitoring of all QA algorithms and process reporting
• Working with the rest of the Analytics team in assembling data for ad hoc analysis data preparation for model building
• Helping on modeling and algorithm development as needed.

• Master's degree or equivalent is required. PhD is preferred.
• Prior data management experience is required.
• Prior domain knowledge in financial and telecommunication data sets is desirable.

What's this?