5 дней назад
Quanititive Associate, Capital Markets
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Quanititive Associate, Capital Markets (Python/SQL/Structured Finance): Building analytical tools, dashboards, and code-based financial models that turn complex portfolio, financing, operational, and market data into insights for capital structure and financing decisions with an accent on Python-based analytics, structured finance, and pricing analysis. Focus on translating Excel models into Python, stress-testing new capital structures, automating reporting, and supporting debt, tax equity, and structured finance transactions.
Location: New York City, United States
Company
is a consumer energy platform that integrates the discovery, financing, installation, monitoring, and management of solar, battery storage, HVAC, heat pumps, and other home energy products.
What you will do
- Mine portfolio, financing, operational, market, competitor, and macroeconomic data to inform capital structure and financing decisions.
- Build Python-based analytical tools, models, dashboards, and automated reporting for complex datasets and senior stakeholders.
- Translate Excel-based structured finance models into Python to improve analytical speed, scalability, and repeatability.
- Evaluate and stress-test new financing products and capital structures through scenario and sensitivity analysis.
- Support investor meetings, capital opportunity sourcing, and select debt, tax equity, and structured finance transactions.
- Partner with FP&A, Treasury, Accounting, technology teams, banks, investors, and legal counsel.
Requirements
- Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a related quantitative field, with coursework or hands-on exposure to finance, economics, or accounting.
- 2–4+ years of experience in data analytics, data science, quantitative research, or software engineering, with exposure to finance, fintech, or capital markets.
- Strong proficiency in Python, including pandas and NumPy, and SQL.
- Experience building models, dashboards, automated reporting, and analytical tools from large, complex datasets.
- Strong quantitative and analytical skills, attention to detail, communication skills, and the ability to manage multiple workstreams.
- Employment is contingent upon successfully completing a background check.
Nice to have
- Experience translating Excel-based financial models into code.
- Working knowledge of debt, equity, tax equity, ABS, or similar financial structures.
Culture & Benefits
- Promote-from-within culture focused on talent development and career growth.
- Unlimited paid time off.
- Medical, dental, and vision coverage.
- Paid parental leave and retirement plans.
- Collaborative, purpose-driven environment focused on people, planet, and profit.
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