Financial Resource Management Lead

$85,000 - $175,000/Yr

Mizuho Securities Co., Ltd. - New York, NY

Full-time - Senior

Hybrid - New York, NY

1,001-5,000 employees

Securities, Commodity Contracts, and Other Financial Investments and Related Activities

About the position

The Financial Resource Management Lead at Mizuho Americas is a senior-level position responsible for estimating, reporting, and managing capital and financial indicators. The role involves developing and enhancing financial forecasting models, liaising with banking and trading counterparts, and ensuring compliance with regulatory standards. The ideal candidate will have a strong quantitative background and experience in financial services, focusing on predictive modeling and risk assessment.

Responsibilities

• Develop and implement robust PPNR models, including revenue forecasting and risk assessment for banking and trading operations.
• Analyze and understand the revenue-generating activities of trading and banking businesses, including interest income, fee income, and trading gains.
• Identify and quantify risks associated with revenue generation, including market risk, credit risk, operational risk, and liquidity risk.
• Conduct model validation and performance monitoring to ensure accuracy and compliance with regulatory standards.
• Stay current with industry trends, regulatory changes, and best practices in model development and risk management.
• Participate in development, maintenance, and documentation of finance models via OLS regression and A(R) approaches in accordance with Federal Reserve SR 11-7 requirements.
• Evaluate data to identify necessary adjustments and work closely with business users to create robust forecasting models and historical analyses.
• Manage projects and deepen relationships with internal and external counterparties to enhance institutional knowledge to support the forecasting/capital management processes.
• Perform ad hoc analyses to solve new problems which may require iterative analyses and dealing with potential uncertainty.

Requirements

• 5-7 years of relevant work experience in the financial services industry.
• Significant knowledge and experience with statistical software (e.g., Python, SAS) and Microsoft Excel in a business environment.
• Robust understanding of statistical concepts, regression-based forecasting models, and time series analysis.
• Ability to effectively analyze large data sets and identify patterns and insights.
• Strong understanding of banking and trading revenue streams, including the ability to analyze complex financial products.
• Familiarity with risk management principles and practices in financial institutions.
• Good communication skills (presentation and written) with the ability to explain underlying drivers and key takeaways from modeled data outputs to technical and non-technical audiences.
• Knowledge of relevant regulatory requirements (e.g., Basel III, Dodd-Frank, SR 11-7) is a plus.
• Bachelor's degree in Statistics, Financial Engineering, Econometrics, Mathematics, Finance, Engineering, or other advanced quantitative fields; Master's degree is a plus.

Nice-to-haves

• Experience with model validation and performance monitoring.
• Familiarity with regulatory compliance in financial services.

Benefits

• Competitive salary range of $85,000 - $175,000.
• Discretionary bonus eligibility.
• Generous employee benefits package.
• Hybrid working program with opportunities for remote work.