Senior Data Scientist Credit Risk & Consumer Insights
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Job Location:
Any - USA
Monthly Salary:
Not Disclosed
Posted on:
8 hours ago
Vacancies:
1 Vacancy
Department:
Analytics
Job Summary
Were looking for a Senior Data Scientist with credit analytics experience to develop automated reports dashboards and insights across the full credit lifecycle. Youll support underwriting risk management portfolio monitoring and credit performance while partnering directly with clients to ensure analytics align with their needs. You will report to the VP of Analytics Product Build Innovation and Scores.
Youll have opportunity to:
- Build credit risk dashboards reports and analytics using Python and Tableau.
- Analyze the credit lifecycle (underwriting performance delinquency and collections) to identify important insights.
- Develop and automate reporting pipelines and monitoring frameworks.
- Translate analytics into strategies for risk business and client teams.
- Perform deepdive analyses on credit behavior defaults and scoring models.
- Present insights to clients in clear applicable formats.
- Guide clients in using dashboards and analytics for decisionmaking.
- Ensure data quality accuracy and compliance with reporting standards.
- Improve existing reporting and build new analytics for better forecasting and risk assessment.
- Mentor junior team members on visualization reporting and credit analytics.
- Be a trusted advisor in client meetings presentations and workshops.
Qualifications :
- 5 years in credit risk analytics data science or BI with credit lifecycle focus.
- 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.
- Clear communicator able to simplify complex insights.
- Clientfacing 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.
- Bonus: Knowledge of Power BI or Looker.
Additional Information :
Our uniqueness is that we celebrate yours. Experians culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI work/life balance development authenticity collaboration wellness reward & recognition volunteering... the list goes on. Experians people first approach is award-winning; Worlds Best Workplaces 2024 (Fortune Top 25) Great Place To Work in 24 countries and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experians DNA and practices and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work irrespective of their gender ethnicity religion colour sexuality physical ability or age. If you have a disability or special need that requires accommodation please let us know at the earliest opportunity.
Remote Work :
Yes
Employment Type :
Full-time
Key Skills
- Laboratory Experience
- Mammalian Cell Culture
- Biochemistry
- Assays
- Protein Purification
- Research Experience
- Next Generation Sequencing
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Flow Cytometry
About Company
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, ... View more
