About this role
The team is seeking a skilled Data Analyst to join their team. The ideal candidate will be responsible for preparing PL eligibility bases using SQL, conducting portfolio risk segmentation through decision trees and other machine learning techniques in Python, and improving PL portfolio quality through targeted credit actions. Additionally, the role includes documenting process quality for the end-to-end customer journey, tracking deviations, and implementing necessary changes.
Key Responsibilities:
- Prepare PL eligibility bases using SQL.
- Conduct portfolio risk segmentation using decision trees and machine learning techniques in Python.
- Improve PL portfolio quality through specific credit actions.
- Document process quality for the end-to-end customer journey.
- Track deviations and implement changes as required.
- Review PL portfolio and generate Management Information System (MIS) reports.
Required Skills & Qualifications:
- Strong analytics background with experience in Tableau dashboards and machine learning modeling.
- Proficient in data tools: Excel, SQL, and Python.
- Good understanding of lending and credit risk principles.
- Strong problem-solving skills and attention to detail.
Experience:
- Minimum of 3-5 years of relevant experience in data analysis or a related field.
What we offer:
- Opportunity to work in a dynamic environment with a focus on innovation.
- Professional development and growth opportunities.
- Collaborative team culture.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.