Risk Analyst

Responsibilities

• Risk Modeling & Portfolio Monitoring: Collect, clean, and analyze large financial datasets to monitor credit risk exposure, asset quality, and market fluctuations across designated corporate and retail portfolios.
• Bilingual Reporting & Compliance: Synthesize complex risk data and draft comprehensive risk assessment reports, market briefings, and regulatory compliance summaries for both local executives and global headquarters in both English and Korean.
• Financial Stress Testing: Assist senior risk managers in designing and executing financial stress-testing models, scenario analyses, and value-at-risk (VaR) calculations to ensure the bank remains resilient under adverse economic conditions.
• Data Hygiene & Database Queries: Manage data extraction pipelines from relational databases using SQL to track borrower profiles, transaction anomalies, and credit migrations, ensuring flawless data integrity.
• Cross-Functional Collaboration: Partner closely with Credit Underwriting, Compliance, and Operations teams to audit risk controls, verify collateral valuations, and ensure all banking activities align with strict internal risk parameters and federal mandates.

Requirements

• Educational Background: Bachelor’s degree in Finance, Economics, Statistics, Data Analytics, Information Systems, Mathematics, or a heavily quantitative discipline.
• Professional/Academic Experience: 0 to 3 years of experience (inclusive of robust risk management or financial analysis internships, university finance lab research, or technical data aggregation projects within a corporate banking setting).
• Language Fluency: Professional-level verbal and written proficiency in both English and Korean.
• Technical & Analytical Tooling: Exceptional practical command of Microsoft Excel (pivot tables, advanced formulas, data modeling arrays) paired with a solid foundational ability to write and execute SQL queries. Familiarity with Python, R, or SAS for statistical analysis is a major competitive advantage.
• Meticulous Logic & Skepticism: An analytical, highly detail-oriented mindset with a natural drive to uncover data anomalies, verify conflicting data, and evaluate root causes of systemic risk.

Preferred Qualifications

• Prior experience or structural exposure to risk management practices within a multinational financial institution or cross-border banking entity.
• Foundational understanding of global banking regulations (such as FRB regulations or Basel frameworks) and credit scoring models.

Benefits

• Salary Range: $75,000 – $95,000 base structure + Performance-Driven Banking Bonus & Premium Corporate Health, Wellness, and Retirement Benefits.