Data Scientist II performing analytics and modeling to improve fraud strategies at Truist. Engaging with stakeholders and developing data - driven solutions for risk management and business outcomes.
NU
Hybrid Data Scientist – Lending Analytics, Credit Risk
Posted 10 hours ago
About the role
- Data Scientist responsible for analytical insights in Lending Analytics and Credit Risk. Utilizing machine learning and data modeling to improve organizational impact while managing credit risk.
Responsibilities
- 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.
Requirements
- 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
- Master's Degree in Data Science, Statistics, Mathematics, Computer Science, or Engineering
Benefits
- Competitive pay
- Generous benefits and perks
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Data Assessor utilizing best data science practices for member relations improvement. Building and managing machine learning models to derive insights and enhance service effectiveness.
Senior Data Scientist developing and maintaining predictive models to support business decisions. Collaborating with engineering teams to deploy models and ensure data quality in Mexico.
Analytics & Data Science Working Student contributing to data insights and reporting at 4screen. Collaborating with stakeholders and developing dashboards, reports, and analytical tools for decision - making.
Data Manager leading a team of engineers to enhance data architecture and analysis capabilities at Huckberry. Overseeing data projects to meet business goals while ensuring quality and efficiency.
Senior Associate Data Scientist at Capital One applying AI on large datasets for decision - making and customer engagement. Collaborating with teams to build innovative AI - driven solutions.
Lead product marketing data strategy, ensuring quality data flows across all channels and supporting the Group's marketing performance on an international scale.
Data Scientist developing data pipelines and machine learning algorithms in an AI - focused team. Collaborating with engineers to drive data - driven insights in Guadalajara, Jalisco, Mexico.
Data Scientist Intern supporting data analysis and machine learning in healthcare SaaS environment. Collaborating with experienced data scientists to enhance operational efficiency.
Data Scientist for Product Sustainability at Roche managing environmental data for sustainability reporting. Bridging Global Sustainability Experts and IT systems to ensure actionable insights for product emissions and compliance.