Data Scientist (Lending Analytics)

Overview

On Site
Hybrid
Full Time

Skills

Analytics
Analytical Skill
Machine Learning (ML)
FOCUS
Management
Credit Risk
Supervision
Algorithms
Modeling
Trend Analysis
Data Analysis
Data Modeling
SQL
R
Python
Apache Hadoop
SAS
SPSS
Scala
Amazon Web Services
Presentations
Research
Communication
Critical Thinking
Collaboration
Big Data
Technical Writing
Problem Solving
Conflict Resolution
Science
Data Science
Statistics
Mathematics
Computer Science
Project Management
Performance Management
Preventive Maintenance
Military
Media
Intellectual Property
IP
Recruiting
Market Analysis
Policies and Procedures

Job Details

Overview

Provide analytical insights by extracting data through machine learning, programming, data modeling, and advanced mathematics to recognize complex patterns and identify opportunities to drive impact across the organization with a focus on managing credit risk. Developing an understanding of business needs and objectives through the use of basic descriptive, predictive, and prescriptive models. Perform routine assignments with increasing scope and complexity. Work under close supervision with some latitude for problem solving within existing data platforms and tools. Developing professional with basic skill set and proficiency.

Responsibilities
  • Design, develop, and evaluate basic/routine predictive models and algorithms with some complexity
  • Analyze and interpret results with some complexity
  • Limited judgment and discretion within defined procedures and practices
  • Develop and code basic software programs, algorithms, and automated processes
  • Use modeling and trend analysis to analyze data
  • Collaborate with team members and participate in team projects and initiatives
  • Utilize effective written and verbal communication to document and present findings

Qualifications
  • 2-3 years of experience in exploratory data analysis
  • Statistics
  • Programming, data modeling, simulation, and mathematics
  • SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS
  • Model lifecycle execution
  • Technical writing
  • Data storytelling and technical presentation skills
  • Research Skills
  • Interpersonal Skills
  • Model Development
  • Communication
  • Critical Thinking
  • Collaborate and Build Relationships
  • Initiative with sound judgement
  • Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.)
  • Problem Solving (Responds as problems and issues are identified)
  • Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields

Desired Qualification(s)
  • Master's Degree in Data Science, Statistics, Mathematics, Computer Science, or Engineering

Hours: Monday - Friday, 8:00AM - 4:30PM

Location: 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.

Our approach to careers is simple yet powerful: Make our mission your passion.

Best Companies for Latinos to Work for 2024

Computerworld Best Places to Work in IT

Forbes 2024 America's Best Large Employers

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Fortune Best Workplaces for Millennials 2024

Fortune Best Workplaces for Women 2024

Fortune 100 Best Companies to Work For 2024

Military Times 2024 Best for Vets Employers

Newsweek Most Loved Workplaces

2024 PEOPLE Companies That Care

Ripplematch Recruiting Choice Award

Yello and WayUp Top 100 Internship Programs

From Fortune . 2024 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union.

Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected Veteran.

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.
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About Navy Federal Credit Union