Manager, Credit Operations Analysis - Remote

As an NRG employee, we encourage you to take charge of your career and development journey. We invite you to explore exciting opportunities across our businesses. You’ll find that our dynamic work environment provides variety and challenge. Your growth is key to our ongoing success—take the lead in shaping your career development, goals and future!

 

Summary:
At NRG, we apply advanced analytics and modeling to address challenging business problems. Within NRG Home, which includes Reliant Energy, we aim to promote customized offerings: the right product offered through the right channel, with the right message at the right time for each current or prospective customer. To accomplish this, we leverage our data via predictive modeling, statistical analyses, and optimization. If you love data, programming, creative problem solving, and communicating results, you will fit right in.
 

Essential Duties/Responsibilities:

• Help business partners reduce bad debt by identifying consumer behavioral patterns and system loopholes associated with sales fraud, payment terms, and other credit / payment activities.
• Conduct exploratory data analysis and identify root causes.
• Quantify the effects of various fraud prevention measures.
• Develop dashboards that automatically monitors fraud and performance drivers.
• Manage a small team to assist in research, analysis, and implementation.
• Analyze and help prioritize solutions for greatest impact.
• Translate, communicate, and present results and recommendations to a non-technical audience.
• Perform other duties as assigned.

Qualifications:
Education:

• Bachelor’s degree in Statistics, Business, Computer Science, Economics, Engineering, Mathematics, or Operations Research required.
• Advanced Degree (MS, MBA, or PhD) in a quantitative field is preferred, such as Statistics, Computer Science, Economics, Engineering, Mathematics, or Operations Research.

Experience:

• 5+ year(s) in quantitative analysis / data analysis in equivalent industries.
• Previous retail electricity market experience preferred.
• Previous credit, risk, or fraud experience preferred.
• Experience analyzing weblog data a plus.
• Experience leading teams in a virtual setting.

Technical Skills:

• Data analysis skills.
• Strong SQL skills / understanding of relational databases.
• Power BI or Tableau skills.
• Proficiency with Python or R programming a plus.
• Git for version control a plus.
• Bayesian statistics a plus.

Additional Knowledge, Skills and Abilities:

• Ability to translate complex business issues into achievable analytical learning objectives and actionable analytic projects.
• Ability to interpret complex analytic results and develop practical business implications.
• Understanding of the utility business, to include service process, market structure/pricing and competitive environment.
• Good communication skills.
• Strategic marketing mindset and firm understanding of key financial concepts.
• Keen attention to detail.
• Ability to work as a team member in a fast paced virtual environment.
• Demonstrated ability to learn and apply new technologies and new analytics techniques as needed.
• Thin