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4 дня назад

Risk, Metrics & Analytics Platform, Counterparty Credit Risk Engineering, Associate, Singapore (Java/Python)

Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Singapore
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Risk, Metrics & Analytics Platform, Counterparty Credit Risk Engineering, Associate, Singapore (Java/Python): Building and scaling high-performance risk metrics engines and workflows for counterparty credit risk management with an accent on backend engineering, cloud architecture, and resilient calculation platforms. Focus on designing AI-enabled systems, optimizing high-throughput data processes, and solving complex scalability, reliability, and risk analytics challenges.

Location: Singapore, Singapore

Company

hirify.global is a global investment banking, securities, and investment management firm founded in 1869, with offices worldwide.

What you will do

  • Develop and optimize high-throughput metrics engines that generate accurate lending and risk measurements.
  • Build resilient workflows for market scenario analysis, counterparty evaluation, credit ratings, and risk appetite management.
  • Contribute to next-generation, cloud-first architecture with AI-enabled capabilities.
  • Write production-grade backend code, implement platform upgrades, and resolve complex technical issues.
  • Apply SDLC best practices, including unit testing, automated testing, CI/CD, and code reviews.
  • Collaborate with quantitative engineers, technical leaders, product managers, and business stakeholders.

Requirements

  • At least 4 years of hands-on software development experience with enterprise-scale, business-critical systems.
  • Strong backend development experience with Java, Spring Boot, and Python.
  • Experience with scalable SDLC practices, CI/CD, automated testing, and code reviews.
  • Hands-on experience with cloud technologies, preferably AWS, and high-availability patterns.
  • Experience implementing or integrating AI-enabled tools, platforms, or automated solutions.
  • Bachelor’s degree in computer science, engineering, or equivalent practical experience, plus strong analytical and communication skills.

Nice to have

  • Financial services industry experience with domain knowledge in risk or risk engineering systems.

Culture & Benefits

  • Professional training and development opportunities.
  • Firmwide employee networks and diversity and inclusion initiatives.
  • Benefits supporting wellness, personal finance, and mindfulness.
  • Reasonable accommodations are available during the recruiting process.

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