Risk Analyst

• About the Job
• Our client is a premier global financial institution and banking enterprise delivering corporate banking, cross-border capital markets, and commercial credit solutions across North American and APAC markets. We are seeking an analytical, data-driven Risk Analyst to join our Risk Management division. In this role, you will help protect the bank’s capital, assets, and market reputation by identifying, quantifying, and mitigating credit, market, and operational risks across our international portfolios.

• Why Join Us
• Elite Risk Academy: Gain a world-class foundation in credit risk modeling, regulatory frameworks (Basel III), and financial data analysis that serves as a highly prestigious springboard for a long-term banking career.
• Full Visa Sponsorship Ecosystem: Join an organization with a proven, structured track record of sponsoring global talent, providing dedicated internal legal support for OPT, STEM extensions, and H1-B visa lottery processing.
• High-Visibility Analytics: Work on high-stakes portfolios where your data analysis, stress-testing models, and risk reports are presented directly to risk committees and senior executives.

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

• Education & Domain Literacy: 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. You must be entirely comfortable translating regulatory parameters and presenting risk metrics to stakeholders in both languages.
• 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.
• Job Details
• Employment Type: Full-Time, Permanent
• Visa Support: OPT / STEM OPT Validation & H1-B Sponsorship Provided
• Salary Range: $75,000 – $95,000 base structure + Performance-Driven Banking Bonus & Premium Corporate Health, Wellness, and Retirement Benefits.