
Credit Risk Data Scientist
U.S.Bank | Elavon
Hybrid
Status
Hexjobs Insights
Role: Credit Risk Data Scientist. Responsibilities include designing automated reporting, developing ETL processes, and collaborating with risk managers. Requires 4+ years experience, SQL, and Power BI proficiency.
Schlüsselwörter
Microsoft Power Platform
Power BI
SQL
ETL processes
Machine Learning
AI
Data Visualization
Credit Risk Management
Python
Data Analysis
Vorteile
- Performance-based incentives
- Inclusive equitable benefits
- Continuous development opportunities
- Employee recognition program
- Salary ranges aligned with industry benchmarks
Technologies we use
About the project
Your responsibilities
- Design, develop and automate the reporting processes using Microsoft Power Platform to support credit risk management
- Develop and maintain an effective relationship with credit portfolio risk managers to design and support credit risk reports across wholesale and retail loan portfolios
- Design and develop ETL processes to extract, cleanse, and reconcile credit risk data
- Run weekly, month-end, and quarterly data and reporting processes, ensuring timely and accurate delivery of reports
- Collaborate with development and implementation teams to ensure alignment of data and execution logic
- Automate workflows for data capture, testing, documentation, and visualization
- Create comprehensive documentation and playbooks to promote process consistency and knowledge sharing
- Explore and apply machine learning (ML) and artificial intelligence (AI) techniques to enhance process efficiency
- Communicate insights and recommendations to risk managers to support strategic decision-making
Our requirements
- Bachelor’s degree in an appropriate field (Mathematics, Computer Science, Economics, Statistics, Business) or equivalent work experience
- More than four years of applicable experience
- Demonstrated ability to design and develop interactive Power BI dashboards that effectively visualize and communicate data
- Proven proficiency in writing and optimizing SQL queries for data extraction, transformation, and analysis
- Strong analytical thinking, problem-solving and decision-making skills
- Ability to collaborate and communicate effectively across teams, which includes risk managers, technology and data management teams
- Strong verbal and written communication skills
Optional
- Knowledge of credit risk management concepts in retail or wholesale lending
- Experience using Power Automate flows and building Power Apps
- Experience building complex dashboards and storytelling with data using BI platforms
- Experience using Python or equivalent programming language
- Experience in process re-engineering
What we offer
- Clearly defined salary ranges aligned with industry benchmarks and internal equity standards.
- Performance-based incentives for eligible employees (as defined by relevant plan rules), awarded through transparent, objective criteria that recognize both individual and company performance.
- Inclusive equitable benefits that are accessible to all employees and focused around our 3 main pillars of financial wellbeing, health & wellness).
- Continuous development opportunities including training, education support, and career progression pathways based on inclusive and transparent criteria.
- Employee recognition programs that celebrate achievements and milestones for all.
Benefits
Aufrufe: 13
| Veröffentlicht | vor 24 Tagen |
| Läuft ab | in 6 Tagen |
| Arbeitsmodus | Hybrid |
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