Risk & Analytics Intern
NinjaHoldings
PythonSQL
Analyst II, Full Stack
Affirm
full-time
Posted on:
Origin: • 🇺🇸 United States • California
Visit company websiteSalary
💰 $124,000 - $174,000 per year
Job Level
Mid-LevelSenior
Tech Stack
PythonSQLVBA
About the role
- Designing and testing new pricing and credit strategies for top clients by drawing key insights from financial data;
- Conduct quantitative pricing using complex mathematical and pricing modeling techniques;
- Performing risk analyses on Affirm's loan portfolio;
- Manage profitability of the portfolio by drawing upon methods for implementing modern portfolio theory and providing subject-matter expertise on merchant pricing policy development, new product formation and new markets exploration;
- Conducting financial data analyses and identifying opportunities to improve current financial risk processes; Improve overall infrastructure by driving execution, as well as launching and leading cross-functional financial analysis initiatives;
- Collaborating with cross-functional teams such as Commercial, Product, Engineering, Finance, Capital Markets, and internal risk teams to assess, define, optimize and scale pricing opportunities for different markets;
- Managing external financial reporting and present to investors and stakeholders; and
- Introduce ways to identify, measure, estimate and control risks in the context of risk management.
- May telecommute.
Requirements
- Master’s degree or foreign equivalent and 4 years of experience.
- Knowledge of economic and accounting principles and practices, the financial markets, banking, and the analysis and reporting of financial data;
- SQL, Python, Excel (Macro, VBA) or other scripting languages;
- Working with Business Intelligence tools such as Qlik, or Power BI;
- Knowledge of the fundamentals of risk modeling including both credit and market risk, assessing macroeconomic trends and financial performance, enabling comprehensive evaluation of industry risk trends, including risk strategy development; and
- Knowledge and experience in data analytics, financial modeling, model validation, risk analytics, financial budgeting and project management.
