Credit Risk Infrastructure & Analytics Associate

Nomura Holdings, Inc.

Singapore

On-site

SGD 90,000 - 150,000

Full time

14 days+
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Job summary

Nomura Singapore seeks an Associate, Credit Risk Infrastructure Officer to drive data governance and risk reporting within CRI. You will monitor exposures, develop data architecture, and support senior management with ad-hoc risk views.

The role requires at least 5 years in credit risk infrastructure, strong analytical skills, and programming capability (Python, SQL). You will collaborate with IT and risk teams to improve controls and automate processes.

Qualifications

  • Minimum 5 years’ experience in a credit risk infrastructure function within a financial institution.
  • Experience with credit risk fundamentals and exposure metrics (peak exposure, current exposure, stress current exposure, wrong way risk).
  • Experience with regulatory reporting (PRA/HK SFC, MAS) and senior management decks on credit metrics and ad-hoc analysis.
  • Strong analytical and communication skills; ability to articulate complex risk concepts to diverse audiences.

Responsibilities

  • Monitor exposures across trading books and track counterparty, issuer, and sector risks to ensure compliance with risk limits.
  • Analyze risk metrics and flag anomalies; manage limits/excesses by product, counterparty, and country.
  • Prepare senior management decks on credit risk metrics and ad-hoc analysis and create regulatory reports (PRA, HK SFC, MAS).
  • Identify inefficiencies and propose automation/tools; collaborate with IT to streamline workflows and develop risk tools.

Skills

Python
VBA
SQL
Power BI
Tableau
Analytical skills
Communication skills

Education

Bachelor's degree

Tools

Python
VBA
SQL

Job description

Nomura Singapore seeks an Associate, Credit Risk Infrastructure Officer to drive data governance and risk reporting within CRI. You will monitor exposures, develop data architecture, and support senior management with ad-hoc risk views.

The role requires at least 5 years in credit risk infrastructure, strong analytical skills, and programming capability (Python, SQL). You will collaborate with IT and risk teams to improve controls and automate processes.

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