Senior Manager, Risk Analytics

Role Summary:

We are seeking a highly analytical and experienced Senior Manager, Risk Analytics to lead the quantitative risk management and data analytics framework for our SFC Type 1 and Type 4 regulated businesses. The successful candidate will play a pivotal role in developing risk models, designing stress testing methodologies, and automating risk reporting for our Securities Margin Financing (SMF) and Lombard Lending portfolios. This role requires a strong blend of data science capabilities, credit risk domain knowledge, and a deep understanding of HKMA and SFC regulatory requirements.

Key Responsibilities:

1. Quantitative Modeling & Methodology :

• Develop, validate, and maintain quantitative models for Collateral Haircuts, Loan-to-Value (LTV) ratios, and Margin Ratios for various asset classes (equities, fixed income, funds, etc.).
• Design and implement liquidity discount models and concentration risk frameworks for the securities financing portfolio.

2. Stress Testing & Scenario Analysis:

• Lead the design and execution of rigorous stress testing programs for the Margin Financing and Lombard Lending portfolios, ensuring strict compliance with the SFC’s Guidelines for Securities Margin Financing Activities.
• Perform ad-hoc scenario analysis to assess portfolio vulnerabilities during periods of extreme market volatility.

3. Data Analytics & MIS Reporting :

• Drive the automation of daily/monthly credit risk reporting, margin shortfall monitoring, and portfolio health dashboards using Python, SQL, and BI tools (e.g., Tableau, Power BI).
• Transform complex risk data into actionable insights for Senior Management, ALCO, and the Risk Management Committee.

4. IFRS 9 & Capital Analytics:

• Oversee the Expected Credit Loss (ECL) calculation and provisioning process for the margin loan portfolio under IFRS 9 standards.
• Support the calculation and optimization of Risk-Weighted Assets (RWA) and regulatory capital for Type 1 business exposures in accordance with HKMA Basel requirements.

5. Risk System & Infrastructure Enhancement :

• Act as the business owner/project lead for the enhancement of credit risk engines and margin management systems.
• Collaborate closely with IT and Data Architecture teams to ensure data integrity, streamline data pipelines, and implement advanced risk analytics solutions.

Qualifications & Requirements:

1. Education: 

• Master’s or Bachelor’s degree in a quantitative discipline such as Financial Engineering, Mathematics, Statistics, Computer Science, Data Science, or Quantitative Finance. FRM, CFA, or CQF designation is highly preferred.

2. Experience:

• Minimum of 8 years of relevant experience in risk analytics, quantitative credit risk, or portfolio risk management within a bank, top-tier brokerage, or financial institution.
• Proven experience in managing risk analytics for Securities Margin Financing, Lombard Lending, or Prime Brokerage businesses.

3. Technical Skills:

• Advanced programming skills in Python or R for data manipulation and statistical modeling.
• Proficiency in data visualization tools.
• Familiarity with database management and large-scale data processing.

4. Domain Knowledge:

• In-depth understanding of HKMA (e.g., SPM CR-G-14) and SFC regulations regarding credit risk, stress testing, and margin financing.
• Solid knowledge of financial products (equities, derivatives, fixed income) and IFRS 9 ECL modeling.

5. Soft Skills:

• Strong leadership and project management skills, with the ability to lead cross-functional initiatives.
• Excellent communication and presentation skills in English and Chinese (Mandarin/Cantonese), capable of explaining complex quantitative concepts to non-technical stakeholders.