Overview
Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for various areas of the organization. Understand business needs and identify opportunities for new products, services, and process optimization to meet business objectives through the use of cutting-edge data science. Create descriptive, predictive, and prescriptive models and insights to drive impact across the organization. Conduct work assignments of increasing complexity, under moderate supervision with some latitude for independent judgment. Intermediate professional within field; requires moderate skill set and proficiency in discipline. Provide independent effective challenge to the models developed by the organization's business units. This includes conducting model validation, statistical analyses, building benchmark/challenger models, assessing model risk, assessing model performance, ensuring documentation completeness, and identifying and presenting findings to various stakeholders within the business units. Conduct work assignments of increasing complexity, under moderate supervision with some latitude for independent judgment. Intermediate professional within field; requires moderate skill set and proficiency in discipline. Provide independent and effective challenge to models, business practices, and policies developed by the organization's business units to ensure compliance with fair lending laws. This includes statistical analyses, building and assessing alternative models/policies, and identifying and presenting findings to various stakeholders within the business units. Create descriptive, predictive, and prescriptive models and insights to drive impact across the organization. Conduct work assignments of increasing complexity, under moderate supervision with some latitude for independent judgment. Intermediate professional within field; requires moderate skill set and proficiency in discipline. Provide analytical insights and perform analysis to assist in guiding credit risk decisions and business planning. Participate in a variety of analytical efforts to support automation, model development, business analysis, and reporting. Deliver insights to auditors, regulators, rating agencies, model risk management, and other key decision makers. Conduct work assignments of increasing complexity under moderate supervision with some latitude for independent judgment. Intermediate professional within field. Develop models and analytics to better understand impact of NFCU Brand on prospects, members and their engagement with NFCU. Develop models and analytics to optimize targeting strategies incorporating segmentation and channel interaction and other analytics to drive more personalized experience for members. Expand upon the use of Machine Learning techniques using Member's cross channel interaction data. Build models and integrate results with business data to understand how channel behavior affects product uptake and engagement. Perform qualitative and quantitative analysis on channel interactions to improve channel experience, engagement, and usage.
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Responsibilities
Support the delivery of strategic advanced analytics solutions across the organization with solutions drawing on descriptive, predictive, and prescriptive analytics and modeling
Leverage a broad set of modern technologies - including Python, R, Scala, and Spark - to analyze and gain insights within large data sets
Manage, architect, and analyze big data in order to build data driven insights and high impact data models
Evaluate model design and performance and perform champion/challenger development. Analyze model input data, assumptions, and overall methodology.
Using statistical practices, analyze current and historical data to make predictions, identify risks, and opportunities, enabling better decisions on planned/future events
Provide analytics insights and solutions to solve complex business problems
Apply business knowledge and advanced statistical modeling techniques when building data structures and tools
Collaborate with other team members, subject matter experts, pods, and delivery teams to deliver strategic advanced analytic based solutions from design to deployment
Examine data from multiple sources and share insights with leadership and stakeholders
Transform data presented in models, charts, and tables into a format that is useful to the business and aids in effective decision making
Point of contact between the data analyst/data engineer and the project/functional analytics leads
Develop and maintain an understanding of relevant industry standards, best practices, business processes and technology used in modeling and within the financial services industry
Identify improvements to the way in which analytics service the entire function
Recognize potential issues and risks during the analytics project implementation and suggest mitigation strategies
Prepare project deliverables that are valued by the business and present them in such a manner that they are easily understood by project stakeholders
Conduct model validations, assess model performance, and evaluate model conceptual soundness, including input data, assumptions, statistical and analytical testing, and general development methodology
Conduct model outcomes analysis, including back-testing
Assess new and existing model's overall fit/suitability with its intended use and purpose
Provide subject matter expertise to identify models' key assumptions, limitations and weaknesses, and recommend practical solutions to mitigate model risk
Develop benchmark/challenger models to assess strength of model under review
Prepare and present clear, thorough reports to model developers and model owners explaining the analysis performed, results of the analysis and recommendations for improvement
Develop alternative models as necessary
Prepare and present clear, thorough reports to business units explaining the analysis performed, results of the analysis and recommendations for improvement
Create data visualizations and/or dashboards to monitor and explain risk trends that are relevant for loss and originations modeling
Conduct model validations and routinely assess model performance
Create reports and other deliverables to assist with business planning, continuity, and strategy
Lead initiatives to streamline or automate processes related to data preparation, quality assurance, execution of in-production models, report creation
Conduct model outcomes analysis, including back-testing
Assess new and existing model's overall fit/suitability with its intended use and purpose
Provide subject matter expertise to identify models' key assumptions, limitations/weaknesses, and recommend practical solutions to mitigate model risk
Develop benchmark/challenger models to assess strength of model under review
Prepare and present clear, thorough reports to model developers and model owners explaining the analysis performed, results of the analysis and recommendations for improvement
Perform other duties as assigned
Qualifications
Ability to understand complex business problems and determine what aspects require optimization and articulate those aspects in a clear and concise manner
Proven experience working in a dynamic, research-oriented groups with several ongoing concurrent projects
Demonstrates functional knowledge of data visualization libraries such as matplotlib or ggplot2; knowledge of other visualization tools such as Microsoft Power BI and Tableau
Ability to manipulate raw data within visualization tools to create effective dashboards that communicate end-to-end data outcomes visually
Experience in using two or more of the following modeling types to solve business problems: classification, regression, time series, clustering, text analytics, survival, association, optimization, reinforcement learning
Working knowledge of advanced techniques such as: SMOTE, dimension reduction techniques, natural language processing, sentiment analysis, anomaly detection, geospatial analytics, etc.
Demonstrates a deep understanding of the modeling lifecycle
Knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud)
Understanding of data models, large datasets, business/technical requirements, BI tools, statistical programming languages and libraries
Familiar with Data Engineering concepts
Familiar with the use of standard ETL tools and techniques
Familiar with the concepts and application of data mapping and building requirements
Demonstrates a deep understanding of multiple data related concepts
Familiar with Data Integration, Data Governance and Data Warehousing
Proficient in R or Python or Spark to analyze large data sets and develop predictive models
Proficient in R, Python, SQL, or SAS
Experience with model reviews in newly emerging machine learning/artificial intelligence (ML/AI) techniques applied to big data such as gradient boosting machines, support vector machines, and random forests is a plus
Strategy and Management, Delivery Excellence and Requirements management
Advanced skill in communicating actionable insights using data to technical and non-technical audiences
Proficient in storytelling with data skills
Exceptional technical writing skills
Advanced skill communicating thoughts, concepts, practices effectively at all levels, adjusting as needed to a target audience
Advanced verbal, interpersonal and written communication skills
Advanced database, word processing, spreadsheet, and presentation software skills (e.g., Microsoft Access, Excel, PowerPoint, etc.)
Moderate skill in descriptive, predictive, and prescriptive analytics and modeling; demonstrated success in building models that are deployed and have made measurable business impact
Moderate skill data mining, data wrangling, and data transformation with both structured and unstructured data; deep understanding of data models
Skill interpreting, extrapolating, and interpolating data for statistical research and modeling
Advanced skill in Data Interpretation, Qualitative and Quantitative Analysis
Advanced skill in Python, R, and/or Scala
Moderate skill in SQL and querying (able to pull/transform your own data)
Moderate skill in Data Management, Data Validation & Cleansing and Information Analysis
Master's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering or another quantitative field, or related field, or the equivalent combination of education, training and experience
Desired Qualification(s)
Working knowledge of Navy Federal Credit Union instructions, standards, and procedures
Familiar with project management concepts and frameworks such as Agile Frameworks (SAFE), Communication
Doctoral degree in Statistics, Mathematics, Computer Science, Engineering or another quantitative field, or related field
Hours: Monday - Friday, 8:00AM - 4:30PM
Location: 820 Follin Ln., Vienna, Virginia 22180
About Us
You have goals, dreams, hobbies, and things you're passionate about-what's important to you is important to us. We're looking for people who not only want to do meaningful, challenging work, keep their skills sharp and move ahead, but who also take time for the things that matter to them-friends, family, and passions. And we're looking for team members who are passionate about our mission-making a difference in military members' and their families' lives. Together, we can make it happen. Don't take our word for it:
- Military Times 2022 Best for Vets Employers
- WayUp Top 100 Internship Programs
- ForbesR 2022 The Best Employers for New Grads
- Fortune Best Workplaces for Women
- Fortune 100 Best Companies to Work ForR
- ComputerworldR Best Places to Work in IT
- Ripplematch Campus Forward Award - Excellence in Early Career Hiring
- Fortune Best Place to Work for Financial and Insurance Services
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
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.
REQNUMBER: 14608
