Quantitative Analyst - Hudson and Keyse (USA)
OBJECTIVE: The ideal candidate has a proven record supporting in-depth quantitative analytical and research studies and a precise understanding of how to leverage findings to drive profitability and process improvements. The analysts core responsibilities will be focused around supporting and building data-driven predictive models using Data Mining and Statistical Forecasting techniques.
ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned. - Analyzing and understanding historical business data for detecting previously unknown trends and rules.
- Data pre-processing for analysis, including clean-up and filtering.
- Experimenting with different types of algorithms and modeling techniques.
- Evaluating model performance and fine-tune as necessary.
- Eliciting and documenting business problem and requirements from (internal) customer.
- Communicating model reports with business owners.
Qualifications
SKILLS AND QUALIFICATIONS To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. - Communicate clearly and effectively both orally and in writing with persons having diverse backgrounds of knowledge and experience;
- Ability to work independently, retaining flexibility in working methods, schedules and travel
- Adjust to a fluctuating work load; withstand pressure of deadlines, operating problems and interpersonal tensions; organize and manage time and resources; establish priorities and coordinate work on many projects simultaneously.
EDUCATION and/or EXPERIENCE - Bachelors Degree in Statistics/Economics/Business/Quantitative Finance/ Operations Research or Management Science (Masters preferred).
- Experience with predictive modeling, statistical and financial analyses, data mining, optimization and similar data-driven business solutions; experience planning, conducting, analyzing, and presenting research.
- Advanced knowledge of statistical software like SAS (should have certification or be willing to obtain one soon upon joining).
- Familiarity with a variety of research methodologies like consumer panel, linear / logistic regression, pricing, econometric and forecasting analytics.
- Ability to work in cross-functional teams, using research to address business needs and making actionable recommendations based on research findings.
- Must be extremely well organized, analytical and capable of handling multiple ad hoc requests for information simultaneously.
- Excellent presentation and writing skills.
- Must be able to take responsibility for completion of a project with multiple parts and work collaboratively with other team members and research suppliers to ensure project meets deadlines and budgets.
- Some programming ability (SQL, C++ preferred).
- Industry experience (AR management/Risk management/credit/collections/debt purchasing/receivables modeling) desirable.
- Ability to facilitate the setting up of a data warehouse will be an added advantage.
Organization
Hudson & Keyse is a leading purchaser and seller of credit card and unsecured loan portfolios.
Email: Hshankar [at] hkinc.com
URL: www.datashaping.com/jobs17047d.shtml
Please mention datashaping.com when applying. Thank you.
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