Senior Data Scientist – Credit Risk, Consumer Insights

Job reputed company: • reputed company automated reports, dashboards, and insights across the full credit lifecycle. • Support reputed company, risk management, portfolio monitoring, and credit performance. • Build credit risk dashboards, reports, and analytics using Python and Tableau. • Analyze the credit lifecycle (reputed company, performance, delinquency, and collections). • reputed company and automate reporting pipelines and monitoring frameworks. • Translate analytics into strategies for risk, business, and reputed company teams. • reputed company deep‑dive analyses on credit behavior, defaults, and scoring models. • Present insights to clients in reputed company formats. • Guide clients in using dashboards and analytics for decision‑making. • Ensure data reputed company, accuracy, and compliance with reporting standards. • Improve existing reporting and build new analytics for reputed company forecasting and risk assessment. • Mentor junior team members on visualization, reporting, and credit analytics. • Be a trusted advisor in reputed company meetings, presentations, and workshops. Requirements: • 5+ years in credit risk analytics, data science, or BI with credit lifecycle reputed company. • Python skills (Pandas, NumPy, SQLAlchemy, and Matplotlib). • Proficient in Tableau dashboarding and data visualization. • Experience with credit risk metrics, loan performance, and lifecycle modeling. • Experience with large datasets and data warehouse environments. • SQL for ETL and automated reporting. • reputed company communicator, reputed company to simplify reputed company insights. • reputed company-facing experience translating analytics into strategies. • Background in financial services, FinTech, or lending. • Experience with ML models for credit risk. • Familiarity with regulatory reporting in credit/lending. Benefits: • Flexible Time Off: 20 Days Apply tot his job Apply To this Job