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2 дня назад

Quant Research Analyst – Spec Fin / Securitization (Consumer Credit)

205 000 - 305 000$
Тип работы
fulltime
Грейд
senior
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
Quant Research Analyst – Spec Fin / Securitization (Consumer Credit): Analyzing, pricing, and valuing securitized consumer loan pools and specialty finance assets with an accent on statistical modeling, financial mathematics, and quantitative investment analysis. Focus on evaluating complex mortgage, auto, student loan, SME loan, trade finance, and accounts receivable opportunities, monitoring portfolio performance, and applying Python, R/SAS, and SQL to large datasets.

Location: Newport Beach, California, USA

Salary: $205,000–$305,000 annually, plus discretionary bonus

Company

Global active fixed-income investment firm operating across public and private markets, with expertise in credit, specialty finance, and securitization.

What you will do

  • Source and evaluate consumer loan pools and specialty finance assets across mortgage, auto, and student lending.
  • Lead analysis, pricing, and relative valuation of securitized consumer loan pools and related assets.
  • Support portfolio management and monitor investment performance.
  • Develop consumer credit outlooks and market insights.
  • Analyze esoteric assets including SME loans, trade finance, and accounts receivable finance.
  • Collaborate with deal teams and cross-functional partners to improve investment strategies and risk management.

Requirements

  • Advanced degree in mathematics, science, engineering, statistics, physics, or another quantitative discipline.
  • Statistical modeling expertise in consumer credit, including mortgage, auto, loan, or student loan portfolios.
  • 5+ years of front-office quantitative experience at a leading sell-side or buy-side firm.
  • Strong financial mathematics, probability, statistics, numerical problem-solving, and programming skills.
  • Proficiency with Python or Slang, plus experience using R, SAS, Python, and SQL to analyze large datasets.
  • Ability to communicate quantitative issues clearly with portfolio managers and developers while working closely with the trade floor.

Nice to have

  • Familiarity with Intex and bond cash-flow modeling.

Culture & Benefits

  • Full-time employment with base salary and discretionary performance bonus.
  • High-performance, inclusive culture centered on collaboration, openness, responsibility, and excellence.
  • Cross-functional collaboration with investment, development, and deal teams.
  • Work focused on complex investments across the US, APAC, and Europe.

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