Treasury Quantitative Analyst developing quantitative models and analytical tools for risk management and treasury analytics. Collaborating with cross-functional teams to influence solution strategies and prepare detailed analyses.
Responsibilities
Assist in maintaining and developing quantitative models, including Interest Rate Risk (IRR), Asset Liability Management (ALM), Funds Transfer Pricing (FTP), customer behavior modeling, and stress testing
Engage in model validation activities and produce comprehensive model validation reports
Apply innovative and scientific quantitative approaches to analyze complex business problems, draw conclusions, and make data-driven recommendations
Translate analytical findings into clear communication materials for peer review and executive management presentations
Apply advanced analytical knowledge to collaborate with cross-functional teams, understand complex business objectives, and influence solution strategies
Prepare detailed balance sheet analysis to support treasury and risk management initiatives
Requirements
Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related quantitative field; Master’s degree preferred
Experience in quantitative analysis within a discipline relevant to programming, statistical analysis, and mathematics
Proficiency in programming languages such as Python, R, and MS SQL Server
Strong focus on service, quality, and timely delivery, with the ability to multitask and meet deadlines
Demonstrated creativity and problem-solving skills to develop effective solutions under time constraints
Excellent time management, organizational, and attention-to-detail skills
Positive, self-motivated attitude with the ability to learn quickly, adapt to change, and think outside the box
Strong communication and presentation skills, with the ability to engage audiences at multiple levels of the Bank
Willingness to participate in all required compliance training, including Bank Secrecy Act/Anti-Money Laundering (BSA/AML), as well as internal and external training programs, meetings, and seminars
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