Assistant Manager, Quantitative Modeling

defined mathematical and statistical standards

• Support quarterly CECL process, managing data improvement and validation, and assisting CECL reserve determination preparation

• Manage model governance activities and coordinate with Model Risk Management to ensure validation frameworks and controls comply with Navy Federal and regulatory standards

• Establish and strengthen system controls, facilitate process management, model performance and data reconciliation, and recommend improvements to modeling methodologies

• Evaluate/develop/implement analytic and modeling techniques and best practices

• Stay abreast of business direction, environment and strategy; ensure that analytic output meets business needs

• Present modeling results and recommendations to executives and external parties

• Collaborate with Technology Service to design and build the technology infrastructure necessary to support modeling efforts

• Drive continuous process improvement to increase accuracy and efficiency of models and reduce financial and operational risk

• Collaborate with internal business partners and external vendors to develop and validate models

• Partner with senior management to ensure internal/external regulatory exam preparedness

• Ensure that department adheres to modeling standards, guidelines, procedures, controls and best practices

• Identify and resolve performance gaps and obstacles; develop and implement changes and improvements

• Participate on organization wide project teams and monitor projects assigned to the department to ensure milestones are completed on schedule

• Serve as subject matter expert regarding section functions, systems, policies and/or procedures

• Perform other duties as assigned

Qualifications

• Significant experience in presenting findings, conclusions, alternatives and information clearly and concisely; significant experience in delivering presentations to virtual and in person teams; communicating highly complex technical concepts to non-technical staff and senior management

• Significant experience in leading and managing data science or quantitative modeling projects or teams, preferably in a large financial services organization

• Extensive experience in financial modeling using mathematical techniques, statistical methods, forecasting and related analytical tools; working or leading Time Series modeling experience is strongly desired

• Significant experience in demonstrating thought-leadership, initiative-taking, decision-making and creativity solving business problems

• Advanced skill interacting tactfully and effectively in difficult situations, exercising initiative and using good judgment to make sound decisions

• Significant experience in model governance and controls and/or auditing

• Experience with International Financial Reporting Standards (IFRS), Comprehensive Capital Analysis and Review (CCAR) Dodd-Frank Act Stress Test (DFAST) or Current Expected Credit Loss (CECL) standards

• Working knowledge of any of the following: asset/liability management, financial accounting, cost accounting, budgeting principles and practices, statistics, finance, and/or mathematic modeling

• Expert analytical/quantitative and deductive reasoning skills

• Advanced research, data mining/querying, analysis, and reporting skills, including proficiency in sophisticated statistical methods and modeling, forecasting, and cost/benefit/risk analysis

• Significant experience programming in SAS, R, Python or other language

• Advanced skill in project management to include establishing and leading project teams; managing timelines/deadlines/resources; ensuring successful project implementation

• Advanced skill to effectively manage a remote distributed workforce across multiple locations and time zones

• Advanced skill establishing and maintaining working relationships with all levels of staff, management, stakeholders, and vendors

• Expert verbal, interpersonal and written communication skills

• Expert database, word processing, reporting, spreadsheet and presentation software skills

• Master's degree in mathematics, statistics, data science, or related field, or the equivalent combination of education, training and experience

Desired Qualification(s)

• Advanced knowledge of Navy Federal policies, procedures, products, and services

Hours: Monday - Friday, 8:30AM - 5:00PM

Locations: 820 Follin Lane, Vienna, VA 22180 | 5510 Heritage Oaks Drive, Pensacola, FL 32526

About Us
Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks.

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Equal Employment Opportunity: Navy Federal values, celebrates, and enacts diversity in the workplace. Navy Federal takes affirmative action to employ and advance in employment qualified individuals with disabilities, disabled veterans, Armed Forces service medal veterans, recently separated veterans, and other protected veterans. EOE/AA/M/F/Veteran/Disability EOE/AA/M/F/Veteran/Disability

Hybrid Workplace: Navy Federal Credit Union is a hybrid workplace, and details will be discussed during your interview process.

Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team's discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position

Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.