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6 дней назад

VP, Quantitative Research (Consumer Credit)

205 000 - 240 000$
Формат работы
onsite
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
VP, Quantitative Research (Consumer Credit): Conducting empirical analysis and quantitative research for consumer credit, specialty finance, and securitization investment opportunities with an accent on statistical modeling, portfolio monitoring, and financial mathematics. Focus on evaluating loan pools, analyzing large datasets, developing consumer credit outlooks, and supporting complex investment decisions across mortgage, auto, student, SME, and accounts receivable finance.

Location: Newport Beach, CA, USA

Base salary: $205,000–$240,000 per year, plus a discretionary bonus

Company

hirify.global is a global active fixed-income investment manager investing client capital across public and private markets, including consumer credit and specialty finance assets.

What you will do

  • Assist in sourcing and evaluating consumer loan pools and specialty finance assets across mortgage, auto, personal, and student loans.
  • Conduct empirical analysis with the alternatives investment deal team to support underwriting and drive investment deals to conclusion.
  • Support portfolio management and performance monitoring of investments.
  • Develop and maintain consumer credit outlooks and market insights.
  • Analyze esoteric asset classes including SME loans, trade finance, and accounts receivable finance.
  • Collaborate with cross-functional teams to enhance investment strategies and risk management.

Requirements

  • Advanced degree in a quantitative discipline such as mathematics, science, engineering, statistics, or physics.
  • Statistical modeling expertise in consumer credit, including mortgage, auto, personal, or student loans.
  • 2+ years of front-office quantitative experience at a top sell-side or buy-side firm.
  • Strong quantitative skills in financial mathematics, probability, and statistics.
  • Strong programming and numerical problem-solving skills, with proficiency in Python or Slang.
  • Experience analyzing large datasets using R, SAS, Python, and SQL.
  • Strong attention to detail and ability to deliver results; a self-starter who is accountable, low ego, and motivated to integrate with the trade floor.
  • Ability to articulate issues and explain them to portfolio managers and developers.
  • Ethical, collaborative, organized, flexible, and high energy.

Nice to have

  • Familiarity with Intex and bond cash-flow modeling.

Culture & Benefits

  • High-performance and inclusive culture focused on diverse thinking.
  • CORE values: Collaboration, Openness, Responsibility, and Excellence.
  • Total compensation includes base salary and a discretionary performance-based bonus.
  • Equal employment opportunity and reasonable accommodation are provided in accordance with applicable laws.

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