• Risk Analyst II - Portfolio Analytics

    Job Locations US-TX-Fort Worth
    Requisition ID
    2018-32685
    Employee Type
    Full Time-Regular
    Category
    Risk Management / Insurance
  • Overview

    ​The Risk Analyst II - Portfolio Analytics will be a key member of the team responsible for analytics and reporting on GM Financial's portfolio performance.

    Responsibilities

    JOB DUTIES

    • Contribute to the portfolio performance reporting efforts on an auto finance portfolio
    • Utilize data mining and advanced spreadsheet skills to monitor portfolio performance
    • Employ best practices of data analysis and validation to ensure data results are accurate
    • Promote innovative ways to visualize and digest complex data
    • Create and maintain organized, efficient, and repeatable processes for monitoring portfolio performance
    • Proactively monitor and report relevant changes in portfolio performance to management
    • Conduct ad hoc research projects incorporating project design, data collection and analysis, summarization of findings, and presentation of results
    • Summarize findings, develop recommendations and present analyses to management in a clear, concise, convincing, and actionable format
    • Work directly with internal customers (management) to create/adjust reports to effectively communicate portfolio performance

    Qualifications

    Knowledge

    • Knowledge of quantitative, analytical and data mining
    • Advanced knowledge of quantitative, analytical and data mining
    • Advanced knowledge of applied statistical methodologies
    • Knowledge of applied statistical methodologies
    • Understanding of econometric or statistical experimental design
    • Advanced knowledge of spreadsheet modeling and credit risk techniques
    • Good knowledge of spreadsheet modeling and credit risk techniques
    • Advanced knowledge of SAS, Excel, Word and PowerPoint
    • Good knowledge of SAS, Excel, Word and PowerPoint
    • Knowledge of business issues and map these issues into quantitative questions
    • A solid understanding of credit bureaus and the structure of their credit files and economic databases
    • Solid understanding of credit bureaus and the structure of their credit files
    • Knowledge of the laws that cover the usage of statistical models under the Equal Credit Opportunity Act
    • Understanding of R, STATA, SAS, JMP and Bloomberg terminal
    • Strong understanding of R, STATA, SAS, JMP and Bloomberg terminal
    • Advanced knowledge of principles, standards, practices and techniques relating to statistical modeling
    • Knowledge of principles, standards, practices and techniques relating to statistical modeling

    Skills

    • Demonstrated quantitative skills and ability to apply complex statistical principles
    • Advanced quantitative skills and ability to apply complex statistical principles
    • Pro-active and detail-oriented
    • Ability to identify emerging business issues and place them into quantitative questions
    • Ability to interact collaboratively with internal customers and external vendors
    • Capable of managing multiple and varied projects
    • Ability to coordinate and balance numerous tasks under pressure and meet deadlines
    • Ability to work with minimal supervision
    • Effective written and verbal presentation skills with an ability to communicate well with management
    • Written and verbal presentation skills with an ability to communicate well with management
    • Advanced process and model documentation skills
    • Process and model documentation skills
    • Demonstrated quantitative skills and ability to apply complex econometric principles
    • Advanced quantitative skills and ability to apply complex econometric principles
    • Ability to interact collaboratively with internal customers and other statisticians
    • Ability to design and implement model documentation
    • Data analysis, advanced spreadsheet modeling, and credit risk techniques skills
    • Data analysis, good spreadsheet modeling, and credit risk techniques skills
    • Ability to identify and understand business issues and map these issues into quantitative questions
    • Advanced skills in R, STATA, SAS, JMP and Bloomberg terminal
    • Good skills in R, STATA, SAS, JMP and Bloomberg terminal

    Education

    • Bachelor’s Degree ​Finance, Economics, Mathematics, Business, MIS, or other quantitative field preferred
    • Master’s Degree ​​Finance, Economics, Mathematics, Business, MIS, or other quantitative field preferred

    Experience

    • 3-5 Years of experience querying large multi-table datasets and data analysis/presentation Required

    Work Condition

    • normal office environment;Fast-paced office environment;Strong focus on providing quality service to internal and external customers;Flexible schedule with possibility of working long hours;Must be able to deal with stressful office conditions while troubleshooting problems

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