Predictive Modeler III (Galax)

Compensation

: $75,680.00 - $130,710.00 /year *

Employment Type

: Full-Time

Industry

: Advertising/Marketing/Public Relations



Loading some great jobs for you...





Job Description

Employee Perks

Why You Will Love Being Part of the Navy Federal Team:

*Competitive compensation with opportunities for annual raises, promotions, and bonus potential
*Best-in-Class Benefits! (7% 401k match / Pension plan / Tuition reimbursement / Great insurance options)
*On-site amenities include fitness center, wellness center, cafeteria, etc. at Pensacola, FL; Vienna, VA and Winchester, VAcampuses
*Consistently Awarded Top Workplace
*Nationally recognized training department by TRAINING Magazine IND123
*An employee-focused, diverse, and service-oriented workplace environment

Basic Purpose

This Predictive Modeler role will support all aspects of Model Risk Management across a large variety of business areas. The Predictive Modeler provides independent effective challenge to the models developed by the organizations business units. In doing so, the Predictive Modeler will conduct statistical analyses, create challenger models, assess model risk, and present findings to analysts, modelers, and managers within the business units. The role requires someone that has expertise in a number of subject areas and technical model types. This is a growing function within the organization where there is the opportunity: to work on modeling efforts across the entire enterprise, to innovate in and help guide the maturity progression of the Model Risk Management framework, to manage the relationship with one or more internal business areas, and to provide leadership and support to junior staff in model validations.

Responsibilities:

Assess new and existing models overall fit/suitability with its intended use and purpose
Interact with model developers to gain full understanding of the model under review
Evaluate conceptual soundness, including input data, assumptions, statistical and analytical testing, and general development methodology
Ensure compliance with model development best practices, regulatory guidance and documentation standards. Assess risk of using the model under review
Develop challenger models to assess strength of model under review
Provide an independent view on model reliability, stability, and robustness including back-testing and benchmarking with internal and external data
Provide subject matter expertise on models strengths and weaknesses, recommend practical solutions to mitigate model risk
Prepare and present clear, thorough reports to model developers and model owners explaining the analysis performed, results of the analysis and recommendations for improvement
Monitor performance of scored models; recommend changes to improve performance
Guide the maturity progression of Model Risk Management framework. Identify weaknesses and inefficiencies within the framework across the enterprise. Define solutions and lead their execution/implementation
Contribute to a culture of collaboration by actively working across business lines, communicating knowledge and business processes to other business units
Act as a modeling educational resource for teams in the organization new to model development
Provide and maintain deep and up-to-date knowledge of relevant industry standards, best practices, business processes and technology used in modeling and within the financial services industry
Lead the validation of high risk/high impact models. Coordinate and guide junior staff as necessary to conduct comprehensive analysis within defined timelines
Prioritize and scope Model Risk Managements model validation efforts through collaboration with the business units, review of documentation, and by conducting analyses
Peer review challenger models and conceptual soundness analyses of junior staff and ensure high quality and consistency of Model Risk Management work products
Manage the relationship with one or more business units with sophisticated modeling capabilities

Qualifications (All required unless otherwise noted):

Bachelor's Degree in Statistics, Mathematics, Economics, Computer Science or related field, or the equivalent combination of training, education, and experience
Experience in managing multiple priorities independently and/or in a team environment to achieve goals
Advanced Expertise with statistical software (e.g., R, Python, SPSS Modeler, and/or SAS) to manage large data sets and develop predictive models
Experience in using most of the following modeling types to solve business problems: classification, regression, time series, clustering, text analytics, survival, association, optimization, reinforcement learning. Alternatively, deep expertise in at least one of the above modeling types
Advanced skill interpreting, extrapolating and interpolating data for statistical research and modeling
Advanced research, analytical, and problem solving skills
Advanced verbal and written communication skills
Advanced skill to influence, negotiate & persuade to reach agreeable exchange & positive outcomes
Significant experience in working with all levels of staff, management, stakeholders, vendors
Significant experience in presenting technical solutions and/or recommendations
Advanced skill exercising initiative and using good judgment to make sound decisions
Advanced skill using innovative thinking to solve problems and facilitate the decision-making process
Experience developing predictive models for a large variety of business use cases (marketing, financial forecasting, fraud detection, lending, customer churn, staffing, etc.)
Advanced Expertise in every aspect of the full life cycle of predictive model development (CRISP-DM experience)
Advanced skill in visualizing data analyses and presenting analytical findings to a variety of technical and non-technical audiences
Experience acting as a lead of analytics/modeling staff
Experience managing the relationship with a client company or with other internal groups

Desired:

Master's Degree in Statistics, Mathematics, Economics, Computer Science or related field, or the equivalent combination of training, education, and experience
Experience working in or consulting for financial institutions in a modeling or analytical context


* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

Launch your career - Create your profile now!

Create your Profile

Loading some great jobs for you...