Назад
Company hidden
2 дня назад

Senior Analyst, Private Corporate Credit

65 000 - 90 000CAD
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Senior Analyst, Private Corporate Credit (Financial Data and Leveraged Finance): Analyzing financial and economic data, developing quantitative tools, and supporting credit surveillance and ratings for highly leveraged middle-market companies with an accent on financial modeling, time-series analysis, and credit fundamentals. Focus on building analytical structures in Excel, Python, and SQL, preparing rating committee materials, and translating complex market data into actionable credit insights.

Location: Toronto, Canada; hybrid work with four days in-office each week in most locations.

Base salary: CAD 65,000–90,000 annually; 15% annual incentive target.

Company

Morningstar DBRS provides credit research, ratings, and market insights for investment and lending decisions.

What you will do

  • Source, validate, organize, and analyze financial and economic data for leveraged finance research and credit analysis.
  • Design and maintain data structures and analytical tools using Excel, Python, SQL, and other platforms.
  • Create charts, tables, and data visualizations for research and credit publications.
  • Apply time-series and cross-sectional quantitative methods to identify trends across financial markets and leveraged finance.
  • Support credit analysis and surveillance of small to medium-sized, highly leveraged companies by reviewing financial statements and credit fundamentals.
  • Prepare rating committee materials, develop credit recommendations, participate in committee discussions, and maintain relationships with lenders, investors, and bankers.

Requirements

  • Two to four years of relevant experience in financial data analytics, quantitative research, corporate credit analysis, leveraged finance, corporate lending, or a related analytical discipline.
  • Bachelor’s degree in finance, economics, business, data analytics, or a related field.
  • Strong financial and quantitative analytical skills, including experience with financial statements, economic data, and large financial datasets.
  • Experience with time-series and cross-sectional data analysis and an interest in quantitative methods applied to financial markets and credit research.
  • Advanced Microsoft Excel proficiency and strong working knowledge of Python and SQL for financial data analysis, manipulation, and reporting.
  • Strong written and verbal communication skills, attention to detail, a proactive collaborative approach, and the ability to manage multiple priorities in a fast-paced environment.

Nice to have

  • Progress toward the CFA designation.
  • Familiarity with data visualization tools such as Tableau.
  • Experience using AI platforms such as Microsoft Copilot or Claude for research, data analysis, or workflow efficiency.

Culture & Benefits

  • Hybrid work environment with regular in-person collaboration, typically four office days per week.
  • Tools and resources for meaningful collaboration with global colleagues.
  • Additional benefits supporting flexibility as needs change.
  • Personal and related investments must be disclosed to Compliance and comply with the Code of Ethics; applicable employee accounts may need to be held with an approved broker.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →