10 часов назад
Analyst - Investment Analytics (SQL/Python)
103 700 - 162 100$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Analyst - Investment Analytics (SQL/Python): Analyzing consumer loan investment opportunities and developing cash flow, valuation, and forecasting models with an accent on non-performing loan markets, SQL data workflows, and underwriting analytics. Focus on validating underwriting data, improving valuation methodologies, identifying portfolio trends, and presenting defensible investment recommendations.
Location: Norfolk, Virginia, United States. Applicants must be legally authorized to work in the United States and must not require current or future employment visa sponsorship.
Salary: $103,700–$162,100 per year, with potential performance-based bonus or equity programs.
Company
is a publicly traded company focused on purchasing and managing consumer receivables and related investment portfolios.
What you will do
- Analyze individual investment opportunities, consumer loan purchase markets, portfolio performance, pricing, yields, and future trends.
- Develop and maintain cash flow, valuation, forecasting, and underwriting models for non-performing loan portfolios.
- Verify underwriting data, create audits, investigate discrepancies, and improve data quality and analytical processes.
- Perform statistical analysis and reporting using Oracle PL/SQL, Microsoft T-SQL, R, Python, Excel, and other analytical tools.
- Prepare pricing materials, audit documentation, valuation presentations, and research findings for internal stakeholders.
- Provide analytical feedback to Business Development and M&A teams, oversee complex SQL stored procedure processes, and manage multiple projects.
Requirements
- 3+ years of cash flow modeling experience and 3+ years of experience in non-performing loan markets.
- At least 2 years of SQL experience, including the ability to create, modify, execute, import, and export SQL Server queries and scripts.
- Strong experience with discount cash flow modeling, valuation, data analysis, Excel, and statistical problem-solving.
- Knowledge of T-SQL, PL-SQL, data preparation, missing-data handling, imputation, and relational data analysis.
- Ability to read, write, and understand programmed solutions in R, Python, SAS, or similar languages; basic version control knowledge is also required.
- BA/BS in STEM or another quantitative field. Legal authorization to work in the United States without employment visa sponsorship is required.
Nice to have
- MS, MBA, CFA, or actuarial certification.
- Experience with Power BI and other analytics tools.
Culture & Benefits
- Full-time employment with paid time off, medical, dental, and vision coverage.
- 401(k) matching, life insurance, and other wellbeing benefits.
- Potential performance-based bonus and equity programs depending on the position.
- Work includes cross-functional collaboration, analytical research, process improvement, and ownership of complex projects.
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