VP, Data Analytics Manager

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Are you enthusiastic highly motivated and have a strong work ethic If yes come join our team! At Cathay Bank we strive to provide a caring culture that supports your aspirations and success. We believe people are our most valuable asset and we proudly foster growth and development empowering you to achieve your professional goals. We have thrived for 60 years and persevered through many economic cycles due to our team members drive and optimism. Together we can make a difference in the financial future of our communities.

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GENERAL SUMMARY

Cathay Bank is seeking an Enterprise Risk Data Analytics Manager to serve as a key analytical partner to the Banks second line of defense Risk Management organization. Reporting to the Director of ERM this role is designed for a professional who can bridge the gap between technical data management and high-level risk strategy resulting in more informed data-driven decision-making and stronger analytical support for senior leaders and risk partners. The candidate is someone who can design data structures for risk monitoring and build simple quantitative models - using regression predictive and scenario analysis - to help anticipate and manage material impacts. They should also be able to review risk data and translate it into clear meaningful narratives for management and board reporting.
The ideal candidate understands how to turn raw data into a clear story that helps the bank stay within its defined risk appetite while navigating an evolving economic landscape. The candidate will be a key contributor to the Risk Management function providing the data-driven insights needed to communicate the Banks total risk position to senior leadership and the Board.

ESSENTIAL FUNCTIONS

• Through data analytics and non-complex modeling or analytical tools track the Banks performance against the Risk Appetite Statement and alert leadership to any top risk exposures emerging trends or potential breaches in coordination with the Banks GRC and Risk Appetite team.
• Analyze operational risk data including loss distributions RCSA drivers loss events control effectiveness and key risk indicators to identify patterns and quantify the potential financial impact of process or system failures. Prepare clear narratives and data-driven insights that explain risk trends drivers and remediation progress.
• Design and manage underlying data and database structures to ensure all risk information is organized logically and accessible for enterprise-wide reporting.
• Develop and maintain simple analytical tools to strengthen forecasts for various material risk categories where additional analysis might still be needed e.g. climate risk country risk specific operational risks etc. Draw from the assumptions in existing models to support end-to-end risk forecasting in alignment to the Banks overall risk appetite.
• Perform regular back testing of developed risk analytical tools quantitative methods and board-approved risk metrics to ensure relevance and accuracy. Conduct stress testing to evaluate the banks resilience against potential micro and macroeconomic scenarios.
• Analyze how external economic shifts such as interest rate changes or inflationary trends will directly impact the banks balance sheet capital and P&L in the context of potential impacts to risk appetite as well as downstream impacts to bank strategy and strategic priorities.
• Perform what-if simulations and stress tests to predict how the banks risk metrics might be impacted under different economic or environmental scenarios.
• Translate complex technical findings into clear non-technical narratives for senior management and Risk Committees.
• Ensure all data analytics and reporting efforts align with the Banks broader Risk Management Framework and regulatory expectations.
• Source transform and validate data from multiple internal banking systems and external financial providers to ensure a high-quality source of truth for all risk reporting.
• Utilize data from internal risk platforms and GRC systems to perform quantitative analysis and trend forecasting.
• Document all logic data sources and assumptions to ensure our analytical processes are transparent repeatable and audit ready.

QUALIFICATIONS

Education:

• Bachelors or masters degree in data Analytics Statistics Risk Management Finance Economics or related fields.
• Professional certification such as FRM (Financial Risk Manager) PRM (Professional Risk Manager) CERP (Certified Enterprise Risk Professional) or similar are a plus.

Experience:

• Minimum 5 years of experience in risk analytics financial modeling or a similar data analytic role within financial institutions.
• Experience working with data warehouses and/or SQL Server; experience with Snowflake is a plus.
• Experience designing risk assessment frameworks for emerging or evolving risk areas is a plus

Skills/Ability:

• Understanding of Enterprise Risk Management and Operational Risk Management principles frameworks and methodologies within the financial services industry. This includes knowledge of regulatory requirements (such as Basel III) and industrys best practices.
• Strong understanding of various quantitative techniques. Strong analytical mindset with ability to translate data into actionable risk insights and clear narratives.
• Experience with data modeling and how to structure database tables for efficient reporting and analysis.
• Proficiency in SQL Python or R associated with statistical analysis and predictive modeling.
• Experience with cloud data platforms such as Snowflake and Databricks for large-scale data storage processing and analytics
• Familiarity with BI and visualization tools such as Tableau or Power BI.
• Strong financial literacy including the ability to read financial statements and understand core banking concepts like liquidity and credit metrics.
• Collaborative mindset with a proactive attitude towards problem-solving.
• Clear written and verbal communication; ability to produce concise risk reporting narratives for diverse audiences.

OTHER DETAILS

$119300 $140000 / year
Pay determined based on job-related knowledge skills experience and location.
This position may be eligible for a discretionary bonus.

Cathay Bank offers itsfull-timeemployees a competitive benefits package which is a significant part of their total compensation. It is our goal to provide employees with a comprehensive benefits package to fit their needs which includes coverage for medical insurance dental insurance vision insurance life insurance long-term disability insurance and flexible spending accounts (FSAs) health saving account (HSA) with company contributions voluntary coverages and 401(k).

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Cathay Bank is an Equal Opportunity and Affirmative Action Employer. We welcome applications for employment from all qualified candidates regardless of race color ethnicity ancestry citizenship gender national origin religion age sex (including pregnancy and related medical conditions childbirth and breastfeeding) reproductive health decision-making sexual orientation gender identity and expression genetic information or characteristics disability or medical condition military status or status as a protected veteran or any other status protected by applicable law.

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