Risk Analyst II

Overview This position is responsible for researching, developing, data gathering, and executing risk procedures on an advanced level in support of assigned business units. Evaluates potential losses while implementing solutions to minimize or eliminate risk.

Recommends improvements to current processes and procedures, and ensures compliance with relevant rules and regulations. May occasionally guide less experienced analysts in the work group. Responsibilities Identifying Risk

• Creates and implements methods of risk evaluation. Develops strategies or solutions to address evaluation results.
  
  May create models or simulation scenarios to test risk conditions. Data Analysis

• Sources, compiles, and interprets data. Analyzes data for accuracy and efficiencies, effectively communicates analysis output. Operational Support

• Supports business processes by responding to inquiries, addressing issues, and performing other operational tasks. May serve as a risk resource to management and other associates, including production of documentation, presentations, or other materials to educate on risk policies and procedures. Reporting

• Produces reports based on data analysis, company trends, and risk factors. Identifies patterns, problems, and areas of improvement.
  
  Qualifications Bachelor's Degree and 1 years of experience in Risk Analytics or Analytics OR High School Diploma or GED and 5 years of experience in Risk Analytics or Analytics Requirements: Advanced degree (Masters or PhD) required in Quantitative Finance, Applied Mathematics, Statistics, Engineering, or other quantitative-oriented disciplines Proficient programming skills in Python or SAS Ability to perform analysis and generate presentation decks to reflect analysis with strong attention to detail. Excellent written and verbal communication Ability to work as part of analytical team and spends effort independently trouble shooting issues before requiring assistance. Has some working knowledge and experience developing/validating financial models