aipythonquantitative researchcredit analysislarge datasetsportfolio constructionstructured creditrelative value analysis
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Выше среднего
$165к-270к/год
$110к$130кмедиана$170к
По похожим ролям (48) ~ $130к/год
На СНГ рынке: $1.9к/мес ($1.5к - $2.2к)
90
Крутая вакансия
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Чётко очерченная инвестиционная роль в ведущей quant-компании сочетает анализ структурных кредитных продуктов на Python с возможностями обучения и хорошими условиями отпуска.
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Выше рынкаПонятные задачиСовременный стекСильный пакет льготПересечение AI и quant
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Structured Credit Analyst (CLOs/ABS/CMBS/RMBS): Analyzing underlying assets and structured-credit opportunities while building quantitative alpha strategies with an accent on credit research, relative-value analysis, and portfolio construction. Focus on researching under-covered topics, developing AI-assisted tools, and trading structured credits under supervision.
Location: New York, United States; hybrid work with flexible in-office days
Base pay: $165,000–$270,000 per year, plus potential discretionary bonus and benefits.
Company
hirify.global is a quantitative investment management and trading firm applying technology, artificial intelligence, data science, and quantitative research to investing.
What you will do
Analyze underlying assets in depth for structured credit investments.
Perform credit and relative-value analysis on new-issue and secondary opportunities.
Build quantitative alpha strategies, including AI-assisted tools where useful.
Identify and pursue under-researched topics.
Interface with the market and trade structured credits under supervision.
Work with the portfolio manager and senior analyst on investing and portfolio construction.
Requirements
Excellent academic record and a bachelor’s or advanced degree in a quantitative discipline.
Strong programming skills in Python and experience working with large data sets.
Ability to conduct in-depth research and communicate complex ideas clearly.
Curiosity, resourcefulness, and attention to detail.
2–8 years of direct structured-finance experience in CLOs, CMBS, ABS, or RMBS.
Experience with vendor models or platforms such as Intex, Valitana, or Bloomberg.
Nice to have
Single-name corporate credit experience.
Culture & Benefits
Fully paid medical and dental insurance for employees and dependents, competitive 401(k) matching, and employer-paid life and disability insurance.
Onsite gyms with laundry service, wellness activities, casual dress, snacks, and game rooms.
Tuition reimbursement and conference and training sponsorship.
Generous vacation, unlimited sick days, and competitive paid caregiver leave.
Hybrid work policy with a budget for home-office setup.
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