Clicklease
Risk Analyst
Draper, UT · Internship
Sponsorship not specifiedDetected 22 days ago
PythonSQLData AnalysisData ScienceData VisualizationStatisticsFinancial AnalysisCommunicationProblem Solving
About the role
- At Clicklease, we're passionate about helping small businesses access the equipment financing they need to grow and succeed.
Responsibilities
- Support the monitoring and analysis of lease portfolio performance and credit risk trends.
- Help maintain and validate risk models, reporting tools, and analytical processes.
- Collaborate with cross-functional teams to gather data and support business initiatives.
- Document findings, recommendations, and process improvements.
Requirements
- Bachelor's degree in Finance, Economics, Statistics, Data Science, Mathematics, Business, or a related field.
- 1+ years of experience in financial analysis, credit analysis, risk management, portfolio analytics, or a related field.
- Basic to intermediate SQL skills and strong proficiency in Excel.
- Familiarity with data analysis tools such as SQL, Python, R, Power BI, Tableau, or similar technologies.
- Experience working in lending, leasing, fintech, banking, or other financial services environments.
- Familiarity with Python, R, or business intelligence tools.
- What You Have: Bachelor's degree in Finance, Economics, Statistics, Data Science, Mathematics, Business, or a related field.
Benefits
- Prepare recurring reports and dashboards that track portfolio health and key risk metrics.
Company info
- At Clicklease, happiness is not just a byproduct; it's a fundamental value.
- Join a workplace where positivity and joy are cultivated, creating an environment where you can bring your best self to work every day.
- We Celebrate Collective Intelligence: We thrive on the brilliance of collaboration.
- Clicklease is a space where diverse minds come together, combining their intelligence to create solutions that matter.
- Your ideas are not just heard; they're celebrated.
- We Practice Empathy: Empathy isn't just a word in our dictionary; it's a daily practice.
- Join a team that values understanding and compassion.
- At Clicklease, we recognize the human side of business and foster a culture where empathy is a guiding principle.
- We Listen & Learn: Growth is a continuous journey at Clicklease.
- We believe in listening and learning from one another.
- Your insights and experiences contribute to our collective knowledge, making us stronger as a team.
- Our Mission: At Clicklease, we have a clear purpose - to fulfill the capital needs of underserved entrepreneurs and their Main Street Businesses.
- We achieve this mission through simple, fast, and innovative equipment leasing solutions.
- This is not just a statement; it's the driving force behind everything we do.
- About the role At Clicklease, we're passionate about helping small businesses access the equipment financing they need to grow and succeed.
- As a Risk Analyst, you'll support data-driven decision-making by analyzing portfolio performance, identifying trends, and helping monitor credit risk across our lease portfolio.
- Working closely with teams across Risk, Finance, Data Science, Product, and Operations, you'll gain hands-on experience with financial analytics, reporting, and risk management while contributing to meaningful business outcomes.
- This is an excellent opportunity for someone early in their career who is curious, analytical, and eager to develop expertise in fintech, lending, and portfolio analytics.
- What You'll Be Doing: Support the monitoring and analysis of lease portfolio performance and credit risk trends.
- Assist with data analysis to identify opportunities for improving portfolio performance and risk management.
- Investigate portfolio performance trends and escalate potential risks to senior team members.
- Participate in portfolio reviews and assist with risk assessments and reporting.
- Stay informed on industry trends, lending practices, and regulatory requirements.
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This listing is sourced directly from Clicklease's careers page and normalized into a canonical job model.