Overview
The organization is seeking an analytical, data-driven Risk Analyst to join its Risk Management division. This role supports the protection of the organization’s capital, assets, and market reputation by identifying, quantifying, and mitigating credit, market, and operational risks across international portfolios.
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 risk assessment reports, market briefings, and regulatory compliance summaries for 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.
- Data Hygiene & Database Queries: Use SQL to manage data extraction pipelines from relational databases to track borrower profiles, transaction anomalies, and credit migrations, ensuring data integrity.
- Cross-Functional Collaboration: Partner with Credit Underwriting, Compliance, and Operations to audit risk controls, verify collateral valuations, and ensure activities align with 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 (including 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 English and Korean, including comfort translating regulatory parameters and presenting risk metrics to stakeholders in both languages.
- Technical & Analytical Tooling: Strong practical command of Microsoft Excel (pivot tables, advanced formulas, data modeling arrays) and the ability to write and execute SQL queries. Familiarity with Python, R, or SAS for statistical analysis is a major competitive advantage.
- Meticulous Logic & Skepticism: 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.
Compensation & Benefits
- Salary Range: $75,000 – $95,000 base structure + Performance-Driven Banking Bonus
- Benefits: Premium corporate health, wellness, and retirement benefits.
Location
- Not specified in the provided job description.
Job Details
- Employment Type: Full-Time, Permanent
- Visa Support: OPT / STEM OPT Validation & H1-B Sponsorship Provided