Quantitative Model Developer

Quantitative Model Developer page is loaded## Quantitative Model Developer locations:
Billings, MT:
Sioux Falls, SD:
Boise, :
Bend, OR:
Omaha, NEtime type:
Full time posted on:
Posted Todayjob requisition :
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*** If you are a current FIB employee, please apply through the Career Worklet in the*** ***.
*** This position can be located at Bend, OR;
Boise, ;
Omaha, NE;
Sioux Falls, SD and Billings, MT.

** What’s Important to You
** We know your career is just one aspect of a meaningful, complex, and demanding life. That’s why we designed our compensation and benefits package to provide employees and their families with as much choice as possible.
* Generous Paid Time Off (PTO) in addition to paid federal holidays.
* Student debt employer repayment program.
* 401(k) retirement plan with a 6% match.
* The health and happiness of the places we call home matter to us. Learn a little more about what we do for the  and why we want YOU to be a part of it.

We encourage you to apply. Reach for what you want and tell us why your work ethic and willingness to learn make you a natural fit for **#Team First Interstate .*
* ** SUMMARY
* * The Credit Analytics Quantitative Model Developer will have experience in advanced statistical modeling, ideally with a variety of credit portfolios, and will be responsible for both the development and operation of credit risk models including Probability of Default (PD), Loss Given Default (LGD), Exposure at Default (EAD) and Expected Credit Loss (ECL). This position is accountable for model and assumption development and monitoring for the Allowance for Credit Losses estimation in line with the CECL standard, as well as support for stress testing and capital planning as needed.

The Credit Analytics Quantitative Model Developer will be considered an expert resource in credit risk modeling, working closely with team members and other stakeholders such as business units and risk management, external auditors, and regulatory agencies.

** ESSENTIAL DUTIES AND RESPONSIBILITIES
*** Provides quantitative support to the Bank’s efforts to manage credit risk in portfolios covering a range of asset classes, and ensure that the PD, LGD, valuation, and ECL models comply with all applicable regulations. For existing or third-party models, core competency involves understanding the purpose of the models, how they work, how they are used, how well they perform, and what effective challenges are to the current models.
* Manages large and complex credit data sets using statistical tools and database technologies.
* Designs, builds, and maintains internal and external statistical models to quantify the value of credit risk parameters independently.
* Conducts macroeconomic forecasting, performs credit risk forecasting, and incorporates macroeconomic variables in credit risk models.
* Performs model calibration, back-testing, sensitivity testing, and stress testing of statistical models.
* Presents results to various groups of stakeholders, including senior management.
* Delivers high quality documentation and presentations to support and maintain model and library use.
* Works with the data governance team to document business requirements, and with information technology to ensure methodologies are accurately implemented in production systems.
* Completes ad hoc projects as required.
** QUALIFICATIONS
* * To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

** KNOWLEDGE,

SKILLS AND ABILITIES

*** Business knowledge and familiarity with commercial/small business/retail banking products, operations, and processes.
* Solid working knowledge of at least two programming languages:
Excel VBA, SQL, Oracle SQL, R, Python, SAS, C++. SQL and Python preferred.
* Working knowledge of PD/LGD and rating approaches, as well as key industry default and loss data from rating agencies and other vendors.
* Ability to communicate technical information in writing. Publication in…