Hanwha Q CELLS America Inc. (“HQCA”) is headquartered in Irvine, CA, and handles sales for the North American region. It is a subsidiary of Hanwha Q CELLS Co., Ltd., one of the world´s largest and most recognized photovoltaic manufacturers for its high-performance, high-quality solar cells and modules. It is headquartered in Seoul, South Korea (Global Executive HQ), Thalheim, Germany (Technology & Innovation HQ), and San Francisco, USA (Energy Storage/Inverter & Software HQ). Through its growing global business network spanning Europe, North America, Asia, South America, Africa, and the Middle East, the company provides excellent services and long-term partnerships to its customers in the utility, commercial, government, and residential markets. Hanwha Q CELLS is a flagship company of Hanwha Group, a FORTUNE Global 500 firm, and a Top 8 business enterprise in South Korea. HQCA recently acquired Geli, a leading developer of Energy Management System software for energy storage, solar, and other renewable resources.

RESPONSIBILITIES

• Assist Head Credit and Compliance (HCC) in managing Business Intelligence(BI) reporting, predictive analytics, risk management and underwriting functions of one of the nation’s fastest growing, non-bank financial services organization focused on solar lending.
•  Convert data analysis into actionable modeling algorithms using internal and third-party performance data. Develop the means to apply company data in existing and new markets to expand the product suite and company revenues and profits
• Manage BI reporting and coordinate with bank sponsors and warehouse lenders on day-to-day reporting requirements.
• Maintain a high level of coordination with all departments and assist HCC in ensuring that any impacts of analytics decisions, changes in product configuration, pricing, etc. which may affect default rates, acceptance rates, or customers in any other way are managed properly by those respective departments.
• Model Development and Maintenance: Hands on involvement with building and implementing credit, profitability, and collectability models using SAS and other analytical packages. Models should be maintained and updated with current data to adapt them.
• Data Studies: Complete various data studies for scorecard validation, testing new data sources. All studies should be well-documented and results published with specific findings and recommendations.
• Recognize and troubleshoot problems with data sources, identify new innovations and scorecard components, and complete data studies to refine existing scorecards for optimal performance.
• Fraud Detection and Mitigation: Analyze data to identity, deter and mitigate the financial impact of fraud throughout the portfolio lifecycle. 

REQUIREMENTS

• Minimum of Bachelor’s degree in a quantitative/STEM field required
• Strong skill-set in statistical packages like Python and SAS
• Minimum 5-7 years of  experience in analytics
• At least 5-7 years of proven advanced technical tool set experience extracting and analyzing large datasets and ability to build complex predictive models and action oriented analytic tools.
• Familiarity with BI reporting packages and ability to extract, combine and clean data from tables and data-sets.
• Ability to communicate (written and verbal) business implications of insights gained through independent data analysis.
• Detail-oriented, self-motivated with a sophisticated approach to the analytics function.

PREFERRED REQUIREMENTS

• Advanced degree in quantitative field
• Knowledge of credit lifecycle, quantitative techniques, data mining and database management.
• 5-7 years of experience in developing complex models, ideally designing credit risk scorecards (e.g., account acquisition, account management, and collections scorecards) 

To comply with the Rehabilitation Act of 1973 the essential physical, mental and environmental requirements for this job are listed below. These are requirements normally expected to perform regular job duties. Incumbent must be able to successfully perform all of the functions of the job with or without reasonable accommodation. 

Agility (F = Frequently, O = Occasionally, N = Never)

Dexterity (F = Frequently, O = Occasionally, N = Never)