The Core Engineering-Corporate Treasury-Dallas-Vice President-Quantitative Engin

Corporate Treasury manages the firm’s liquidity, funding, balance sheet and capital to maximize net interest income and return on equity through liability planning and execution, financial resource allocation, asset liability management, and liquidity portfolio management. The division is run by the Global Treasurer and works closely with the CFO, each of the firm’s businesses, Controllers, Operations, and Investor Relations among other groups at the firm. The division is ideal for collaborative individuals with strong quantitative analysis skills, interest in portfolio & liquidity management and risk management mind set., * Model Development & Maintenance: Design, implement, and maintain quantitative models, tools, and interest rate risk frameworks aligned with IRRBB best practices.

• Risk Analytics: Build robust analytics for interest rate sensitivity and scenario analysis across diverse portfolios and regulatory requirements.
• Methodology Enhancement: Produce and enhance methodologies for interest rate risk metrics, partnering closely with cross-functional stakeholders.
• Model Lifecycle Management: Develop and uplift models to reflect evolving business needs, maintain comprehensive model documentation, and support regulatory inquiries and second-line validation.
• Stakeholder Communication: Deliver clear presentations and reports, explaining complex model mechanics and analytical outputs to managers and team members.
• Leadership: Partner with the global strats team to drive unified, high-impact deliverables.

• Experience: At least 5 years of prior experience in the financial industry, preferably within Capital Markets, Risk, or Treasury functions.
• Education: Excellent academic background in a highly quantitative field (e.g., Mathematics, Physics, Statistics, Engineering, or Computer Science); a Master’s degree or PhD is strongly preferred.
• Technical Skills: Strong programming skills in an object-oriented or functional paradigm (such as C++, Java, or Python).
• Analytical Skills: Exceptional quantitative analytical skills with a proven track record of building models, managing large datasets, and analyzing outputs to draw clear, actionable conclusions.
• Communication: Strong written and verbal communication skills, with the ability to explain complex quantitative concepts to non-technical audiences.
• Professional Attributes: Highly motivated, detail-oriented self-starter who is comfortable operating in a fast-paced environment and balancing multiple priorities., * Familiarity with fixed-income products and markets.
• Deep understanding of the IRRBB framework.
• Prior team management or leadership experience.

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Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law. The Goldman Sachs Group, Inc., 2018. All rights reserved Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Vet.