Medical Analyst analyzing engagement effectiveness with advanced analytics solutions aligned with Medical business strategies. Collaborating with cross - functional teams to provide insights for US Medical Affairs.
NU
Hybrid Data Scientist – Credit Risk, Decision Science
Posted 3 days ago
About the role
- Data Scientist delivering analytical insights by applying advanced analytics at Navy Federal. Working with financial and operational data to develop key business models and optimize processes.
Responsibilities
- Deliver analytical insights by applying machine learning, programming, data modeling, and advanced mathematics.
- Work with member, financial, and operational data to support development of business-critical models.
- Identify opportunities for new products, services, and process optimization.
- Deepen understanding of business needs and objectives over time.
- Take on projects of increasing complexity, scope, and strategic influence.
Requirements
- 3+ years of experience in exploratory data analysis, including building tree‑based models.
- Strong programming and analytical skills, including experience with SQL, R, Python, SAS, and AWS.
- Basic understanding of financial services or banking concepts.
- Strong technical writing abilities, especially for model documentation.
- Strong data storytelling and technical presentation skills.
- Strong research, analytical thinking, and problem‑solving abilities.
- Ability to critically evaluate your own work, and handle complex problems.
- Strong communication and interpersonal skills.
- High initiative, sound judgment, and attention to detail.
- Technical proficiency in big data analytics, coding, project management, and technical writing.
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field
- **Desired Qualifications**
- 3+ years of experience in financial services, particularly in acquisition model development, credit policy, or risk management.
- Experience validating models and partnering with internal or external auditors.
- Master’s in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field.
Benefits
- Highly competitive pay
- Generous benefits and perks
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
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EU
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