Job Description
<strong>Overview</strong><span><span>This role is pivotal in supporting FCB's liquidity risk management by developing advanced financial models, performing comprehensive data analyses, ensuring compliance with regulatory standards, and collaborating with various Lines of Business to enhance FCB's liquidity strategy. You will contribute significantly to the firm's financial stability by effectively managing liquidity risk and aligning with regulatory expectations. Your work will play a crucial part in driving strategic decision-making and supporting FCB's overall success.</span></span><span><br></span> <br><strong>Responsibilities</strong><span><span>Model Development:</span></span><ul><li><span><span>Build and enhance models for liquidity stress testing and cash-flow forecasting using Python, SQL, and other analytical tools.</span></span></li><li><span><span>Develop quantitative models that support strategic decision-making and ensure adherence to regulatory standards.</span></span></li><li><span><span>Explore new modeling approaches to improve accuracy and effectiveness in managing liquidity risk.</span></span></li><li><span><span>Create and maintain comprehensive documentation of model methodologies, assumptions, and validation processes to ensure transparency and facilitate regulatory compliance.</span></span></li></ul><span><span>Liquidity Risk Management:</span></span><ul><li><span><span>As part of the larger liquidity risk management framework, develop and implement methodologies to model the behavior of on- and off-balance sheet exposures, enhancing the firm's ability to assess and manage liquidity risks effectively</span></span></li><li><span><span>Ensure alignment with regulatory requirements and strengthen FCB's overall liquidity risk strategy.</span></span></li><li><span><span>Collaborate with Asset Liability Management (ALM) teams when liquidity risk considerations intersect with broader balance sheet management.</span></span></li><li> </li></ul><span><span>Data Analytics & Reporting:</span></span><ul><li><span><span>Build and manage efficient data pipelines that deliver precise and timely liquidity risk metrics and support modeling activities.</span></span></li><li><span><span>Generate comprehensive reports that meet regulatory requirements and support informed internal decision-making.</span></span></li><li><span><span>Conduct detailed analyses to identify liquidity trends and emerging risks.</span></span></li><li><span><span>Develop dynamic reporting frameworks and dashboards to provide real-time insights to leadership</span></span></li></ul>Operational Support & Process Optimization:<ul><li><span><span>Work with cross-functional teams to ensure seamless implementation and integration of liquidity risk processes across systems</span></span></li><li><span><span>Identify inefficiencies in workflows and develop solutions to streamline operations and enhance data accuracy.</span></span></li><li><span><span>Facilitate the adoption of automated tools and technologies to improve operational efficiency and minimize risk across the organization.</span></span></li></ul><span><span><span>Regulatory Compliance:</span></span></span><ul><li><span><span>Ensure all models and processes align with applicable regulatory standards, including Regulation YY.</span></span></li><li><span><span>Collaborate with second-line risk management, audit teams, and external regulatory bodies to support reviews and stress testing.</span></span></li><li><span><span>Maintain accurate and transparent reporting in all regulatory submissions.</span></span></li></ul><span> </span> <br><strong>Qualifications</strong><span>Bachelor's Degree and 3 years of experience in Finance or Analytics OR High School Diploma or GED and 7 years of experience in Finance or Analytics</span> <span>Preferred Qualifications:</span><ul><li><span><span>Bachelor's degree in Finance, Statistics, Economics,