Earnings Risk Practice Consultant
Working within the Earnings Risk practice and interacting with the Development and Client Management groups, the Consultant assists clients to adopt earnings risk best practices and innovates upon QRM’s advanced Planning and Distributed Planning engagements. Position responsibilities cover of the spectrum of product management: marketing research, requirements gathering (including soliciting client feedback), design assistance, quality assurance and testing, documentation, and client education. The Consultant must be an expert not only on planning and forecasting in general, but also on QRM’s specific planning and forecasting implementation for financial institutions. Work is evenly balanced between team-based activities and individual contributions.
Here is how to apply:
- Access QRM’s Careers page at http://www.qrm.com/Careers/careers.htm.
- Click on the resume submission link.
- Fill out all required fields.
- Select Yes when responding to “Did you find this position through a job ad?”
- Choose ERPC as the Job Code.
- Attach your resume and cover letter, and click Submit.
Qualified candidates will possess specific knowledge of earnings analysis, risk management, financial modeling, planning and forecasting, and financial accounting. They will have a strong educational background and an excellent record. An undergraduate degree in economics, finance, engineering, mathematics, or other physical science is required; a graduate degree in one of these areas is preferred.
Applicants should have at least two years of work experience in fields related to banking, economics, or finance and accounting. Experience with enterprise planning and forecasting, or risk management, and with asset–liability management and earnings analysis, is essential. Prior experience with software product management or support is highly desirable, including experience with marketing research, requirements gathering, design assistance, quality assurance and testing, documentation, and training.
Additionally, candidates should have excellent analytical thinking, critical evaluation, problem solving, and written and oral communication skills; and computer skills with respect to databases, preferably Microsoft SQL Server, and spreadsheets, preferably Microsoft Excel.