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3 часа назад

Credit Risk Analyst (Fintech)

Тип работы
fulltime
Английский
b2
Страна
Philippines
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
Credit Risk Analyst (Fintech): Developing and optimizing acquisition credit risk strategies, eligibility policies, and partner-specific risk frameworks for consumer and merchant lending with an accent on credit scoring, alternative data, and portfolio performance analysis. Focus on analyzing large datasets, monitoring B2B and B2C credit trends, and improving automated risk decision-making across partner-led distribution channels.

Location: NCR - WGC, Philippines

Company

hirify.global operates GCash, a fintech platform creating financial solutions for consumers and partner ecosystems in the Philippines.

What you will do

  • Analyze the creditworthiness of eligible consumer bases using internal scoring models, alternative data, and other data sources.
  • Develop, implement, and optimize acquisition credit risk strategies and eligibility policies for direct retail and partner-led B2B2C/B2B2B segments.
  • Evaluate partner operational stability and design consumer and merchant risk frameworks for different distribution channels.
  • Analyze loan originations, early portfolio performance, and partner-specific cohort behavior; maintain reports on key risk indicators, disbursements, utilization, and take-up rates.
  • Monitor partner-level and end-user-level portfolio performance and collaborate with collections and portfolio management teams.
  • Work with Product, Tech, Sales, and Business Development teams to improve loan workflows, automate risk processes, and assess new partnerships.

Requirements

  • Bachelor's degree in Finance, Economics, Statistics, Mathematics, Business Administration, or a related quantitative field.
  • Experience in consumer credit risk management, underwriting, or a comparable analytical role in financial services.
  • Understanding of lending products, credit lifecycles, automated credit risk principles, credit scoring models, statistical analysis, and risk assessment.
  • Strong quantitative, analytical, problem-solving, communication, organizational, and time-management skills.
  • Experience working with large datasets and familiarity with alternative data scoring, including e-commerce, telecommunications, or payment gateway data.
  • Knowledge of SQL, Python, R, or SAS and relevant regulatory requirements for retail and consumer lending.

Nice to have

  • Master's degree in a relevant field.
  • Experience with embedded finance, BNPL, marketplace lending, or partner-led B2B2C distribution channels.
  • Familiarity with corporate financial health indicators or merchant risk factors.

Culture & Benefits

  • Career growth and professional development opportunities.
  • Dynamic and highly collaborative working environment.
  • Competitive and flexible compensation and benefits package.

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