Risk Analytics Modeling Specialist

Risk Analytics Modeling Specialist

The Risk Analytics Modeling Specialist participates in performing effective Model Risk Management of bank-wide models, through every aspect of the model life cycle, from model development, implementation and use, to a rigorous model validation, including specific governance and controls, in order to comply with Amerant Bank’s Model Risk Management Policy and regulatory guidance. Will also be responsible for collaborating in developing quantitative analysis/models for the Risk departments.

Duties and responsibilities include:


  • Perform, with manager guidance, periodic independent model validation, including evaluation of conceptual soundness, data quality & integrity, syntax validation, and model performance, in accordance with internal policy and regulatory guidelines to ensure ongoing model effectiveness.
  • Review the underlying assumptions, theory, derivation, empirical evidence, implementation, limitations, governance and controls of the model being validated.
  • Perform back-testing, model bench-marking, and sensitivity analysis of the model being validated.
  • Develop challenger models and methodologies with their appropriate documentation to identify improvements.
  • Prepare validation report and communicate results of the validation to the model owner, as well as, prepare the presentation for Senior Management Committees and the action plan for the model being validated
  • Work closely with the model owners/users (business, Market Risk, Credit Risk, Finance, BSA, Fraud Prevention, among others) to understand model details and to develop and implement recommendations.
  • Collaborate with the unit to ensure compliance of model development standards and procedures with regulatory requirements, as well as, ensure a correct model implementation and use.
  • Participate in the training plan for the Risk Analytics team to ensure appropriate and effective use of the analytical tools and new techniques in accordance with their intended objectives.
  • Participate in the development of reports and special assignments.
  • Follow-up action plans to ensure findings/recommendations are completed on time and satisfactory.


Educational Background:


Bachelor’s Degree (masters preferred) in statistics, mathematics, finance, risk, engineering, or related discipline.


Work Experience:


Minimum three years of work experience is required in quantitative modelling and/or developing Risk Management Models and/or performing Model Validation at Financial Institutions or companies servicing Financial Institutions.


Technical Skills & Requirements: 


  • Exhibit excellent mathematical, statistical and analytical skills; exposure to quantitative analysis and risk management; and   knowledge of predictive modeling, segmentation and simulation techniques; use of statistical tools (SAS); data bases (SQL); and advanced use of Excel and PowerPoint.
  • Extracting, Structuring information from Databases (SQL).
  • SAS programmer is strongly preferred.
  • Knowledge and experience with various models -- Credit Risk, Market Risk, Operational Risk, PPNR, and analysis tools including SAS and Excel applications preferred.


For more information and to apply online, please visit our careers page at

Seniority Level



  • Financial Services

Employment Type


Job Functions

  • Accounting/Auditing
  • Analyst
  • Information Technology

How you match

Criteria provided by job poster


  • Match

  • No match

  • No match

    Financial Institutions
  • No match

  • No match

    Risk Management
  • No match

    Microsoft Excel
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    Analytical Skills
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    Risk Analytics
  • No match

    Model Validation
  • No match


Level of education

  • Match

    Bachelor's Degree