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VP, Credit Model Development

SquarePeg

VP, Credit Model Development

Stamford, CT
Full Time
Paid
  • Responsibilities

    LOCATIONS: Stamford, CT Alpharetta, GA __

    SquarePeg is working with a consumer financial services company to help them find their ideal VP of credit model development. Here is their description: ROLE SUMMARY/PURPOSE:

    Our Credit and Capital Management team is looking for an experienced credit risk professional who has proficiency in regulatory (SR11-7/OCC 2011-12) modeling frameworks with a focus on Loss Forecasting, ALLL, Stress Testing and Capital Planning models (preferably Credit Cards or Consumer Lending). The role requires the individual to have a combination of statistical/quantitative as well as software/programming skills using big data. The incumbent will manage a team and serve as a Project Lead in developing robust and cutting-edge modeling solutions by executing on key responsibilities outlined below. Reporting to the Credit Model Development Leader, this role presents unique opportunity for a well-rounded candidate to display strong characteristics of model development, thought leadership, project and team management, analytic excellence, and business acumen.

    ESSENTIAL RESPONSIBILITIES:

    • Manage the design, execution and socialization of agile modeling solutions to meet business needs (loss forecasting, ALLL, stress testing and capital planning) by applying appropriate methodologies – including, but not limited to, regression, forecasting, clustering, decision trees, simulation, optimization, and machine learning using Python/PySpark and big data environment
    • Develop a centralized/unified modeling infrastructure to generate account level insights across Balance, Loss and Revenue (PPNR) models that meets BAU management as well as Stress Testing scenario generation capabilities
    • Adapt automation and machine learning technologies, data frameworks and implementation platforms to enhance the functionality and rebuild the models that are currently developed in SAS
    • Support the remediation/enhancement of CECL, Operational Risk, Economic Capital, Fraud Loss Projection and PPNR models
    • Manage successful annual quantitative and qualitative assessments/remediations and submission of existing models with respect to internal (model validation/audit) and external (regulatory) guidelines
    • Direct the development of automated, standardized and scalable modeling solutions across data mining, segmentation, regression, back testing, reporting and ongoing monitoring components to speed up model development process
    • Support the development of model development standards/procedures
    • Provide thought leadership on decision science methodology and development processes and provide insights and reporting on portfolio performance to senior leadership team
    • Manage and mentor a team of analysts for their technical and professional development
    • Perform other duties and/or special projects as assigned

    QUALIFICATIONS/REQUIREMENTS:

    • Masters or Ph.D. degree with quantitative underpinning (i.e., Mathematics, Statistics, Finance, Economics, OR, Engineering) and minimum 10 years of Consumer Lending statistical modeling / analytics experience, preferably for credit cards; or in lieu of a degree 15+ years' experience in Risk, Credit, Finance, Accounting, Consumer Lending, and/or other relevant professional experience
    • 7+ years of experience in building end-to-end solutions for Loss Forecasting / Stress Testing / Predictive models in large banks or with large financial data sets
    • 5+ years managing a team and providing thought leadership to support model development activities
    • 3+ years of experience in developing sophisticated modeling framework based on cutting-edge / next-gen techniques (ML, Python, PySpark, R)
    • Strong working knowledge of transactional and credit bureau data e.g., FICO, Transunion, Equifax as well as knowledge of alternative data sources to enhance model development    
    • Strong written/oral communication, project management and time management skills
    • Track record of gathering, matching, and processing large data sets across continuous/categorical (structured or unstructured data)
    • Experience in data visualization (Tableau/Excel) and reporting solutions
    • Familiarity with model development and governance standards across the banking sector, especially as related to credit card and consumer lending (SR11-7, OCC 11-12, CECL)

    DESIRED CHARACTERISTICS:

    • Prior End-to-End Account Level Modeling Experience using big data environment strongly preferred
    • Business skills: Knowledge of external environment, industry/competitor profiles, and common macro-economic indicators that drive consumer industry
    • Leadership skills: Ability to lead/manage multiple competing initiatives and deliver results within deadlines and with a focus on accuracy and attention to detail
    • Client management and teamwork skills: Strong partnership skills and experience managing relationships across multiple teams of people
    • Communication and influencing skills: Excellent communication and influencing skills to coordinate with multiple functional areas and independently present explanations of complex subjects to senior management and partner with teams throughout the company
    • Problem solving skills: Strong ability to rapidly learn the intricacies of an unfamiliar process, structure and scope complex problems, apply a range of analytical tools, gain and synthesize insights, and develop actionable recommendations

    VISA SPONSORSHIP

    Applicants who are currently employed on H-1B Visa must have at least 2 years of eligibility remaining on their current visa term in order for us to petition for an employment based visa on behalf of such applicant. L1 Visa would be considered for an internal candidate meeting all requirements for the L1 and all of our eligibility requirements. Applicants holding other types of visas, such as F-1 Visas, must have at least 2 years of eligibility that would permit them to work for us.

    All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. 

    The salary range for this position is 100,000.00 - 200,000.00 USD Annual

    GRADE/LEVEL: 13

    JOB FAMILY GROUP: Risk Management #ZR