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5 дней назад

Quanititive Associate, Capital Markets

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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

hirify.global 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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