Sr. Risk Analyst – New Accounts Acquisition-100011861 Job Details

Job Description
As a Senior Risk Analyst in New Accounts, you will be responsible for the development, implementation and evaluation of account acquisition (Approve/Decline and Line Management). You will also be conducting a wide range of analyses to understand and interpret portfolio dynamics and key drivers both from a Risk or Profitability perspectives. Your role will also encompass liaising with external vendors/partners and participation in cross functional projects.  

    * Develop creative and innovative approaches and solutions to optimize portfolio performance using data analysis and industry research. Prepare recommendations and/or presentations in a clear and concise format. Participate in internal/external presentations to develop industry knowledge and expertise.
    * Extract and manipulate raw data, using programming tools such as SAS, SQL, etc to enable analysis, strategy development and tracking, portfolio monitoring etc…
    * Develop, implement and monitor the performance of Credit Risk Management strategies and any Champion/Challenger tests being evaluated.
    * Provide prompt response to adhoc and standard report requests, with value-added analysis of booked account quality and performance.  
    * Help in the preparation and updating of various standard & periodic Regulatory and management reports.
    * Participate in both long and short term projects as assigned with responsibilities including data gathering, analysis, interpretation and presentation of results, including recommendations. 

Qualifications

    * Bachelors degree in a quantitative discipline (i.e., statistics, economics, finance) or equivalent work/training is preferred; advanced degree preferred
    * At least two years of credit risk experience and knowledge of financial principles and procedures required
    * Strong analytical, interpretive and problem solving skills, which will require interpreting large amounts of data and its impact in both operational and financial areas
    * Knowledge of statistical software packages e.g. (SAS, SQL) and applications such as MS Excel is required; MS Access is a plus.
    * Knowledge and experience developing pattern recognition and modeling techniques (Logistic and Linear regression, decision trees, etc.) and data mining experience with large, transactional data sets (financial services, insurance, telecommunications, or related industries) preferred.
    * Excellent oral and written communication skills are a must.
    * Prior financial services work experience is preferred, but not required