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Credit Analyst (Fintech)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Israel
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:
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TL;DR

Credit Analyst (Fintech): Managing buyer underwriting and operational credit decisions for a trade credit portfolio with an accent on SMB risk assessment and financial profiling. Focus on utilizing financial documentation and AI-driven tools to evaluate creditworthiness and implementing strategies to mitigate portfolio risk.

Location: Tel Aviv-Yafo, Israel. Flexibility to work East Coast hours (EST) is required 2–3 days per week.

Company

hirify.global is a fast-paced, data-driven fintech company specializing in trade credit and risk management.

What you will do

  • Assess risk and evaluate SMB buyer applications using financial documents, bank statements, and AI tools.
  • Conduct comprehensive financial analysis and risk profiling for potential clients, merchants, and partners.
  • Monitor the existing credit portfolio to identify and mitigate potential risks.
  • Manage direct interactions with buyers and resolve credit-related support tickets.
  • Contribute to monthly reporting and the improvement of internal credit processes and risk tooling.

Requirements

  • Bachelor's degree in Accounting (highly preferred) or Economics/Statistics.
  • 1–3 years of experience in credit risk management and underwriting, ideally within Fintech or Banking.
  • Proven expertise in SMB underwriting, including cash flow analysis and alternative data sources.
  • Strong analytical skills for interpreting financial data and making credit decisions.
  • Fluent English (written and verbal).
  • Ability to work EST hours 2–3 days per week.

Culture & Benefits

  • Monday–Friday work week.
  • Dynamic, detail-oriented work environment.
  • Opportunity to work at the intersection of financial technology and credit risk.
  • Exposure to internally developed AI tools for risk assessment.

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