The Core Engineering, Quantitative Engineering, Dallas, Vice President

Posted 6 Days Ago
Be an Early Applicant
Dallas, TX, USA
In-Office
Senior level
Fintech • Financial Services
The Role
Develop and maintain quantitative models and analytics for interest rate risk in the banking book within Asset Liability Management. Build scenario analyses, enhance risk methodologies, manage model lifecycles, document frameworks, support regulatory inquiries and validation, and communicate complex results to stakeholders. Collaborate with global strategy teams and contribute to robust technical risk-modeling solutions.
Summary Generated by Built In
 

About Corporate Treasury

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.


Role Overview

Asset Liability Management (ALM) involves matching assets (uses of the balance sheet) to external liabilities (sources of funding) as a mechanism to address liquidity and interest rate risks arising from balance sheet mismatches. This Strats team sits within the ALM team. We help the bank manage structural Interest Rate Risk in the Banking Book (IRRBB) under various market scenarios. Our Strats leverage their engineering, mathematical, and quantitative analytics backgrounds to identify, measure, and model IRRBB. In this role, you will help the bank implement robust quantitative and technical risk-modeling solutions to maintain a sound Asset Liability Management framework.


Key Responsibilities

  • 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.

Required Qualifications:

  • 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.

Preferred Qualifications:

  • Familiarity with fixed-income products and markets.
  • Deep understanding of the IRRBB framework.
  • Prior team management or leadership experience.

About Goldman Sachs

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. 


We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html


The Goldman Sachs Group, Inc., 2026. All rights reserved.


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.

Skills Required

  • At least 5 years of experience in the financial industry, preferably in Capital Markets, Risk, or Treasury
  • Excellent academic background in Mathematics, Physics, Statistics, Engineering, Computer Science, or another highly quantitative field
  • Strong programming skills in an object-oriented or functional programming language such as C++, Java, or Python
  • Exceptional quantitative analytical skills and experience building models, managing large datasets, and analyzing outputs
  • Strong written and verbal communication skills, including explaining complex quantitative concepts to nontechnical audiences
  • Highly motivated, detail-oriented, self-starting, and able to balance multiple priorities in a fast-paced environment
  • Master’s degree or PhD in a quantitative field
  • Familiarity with fixed-income products and markets
  • Deep understanding of the Interest Rate Risk in the Banking Book framework
  • Prior team management or leadership experience

Goldman Sachs Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Goldman Sachs and has not been reviewed or approved by Goldman Sachs.

  • Healthcare Strength — Healthcare is described as offering multiple plan options with subsidized premiums and prescription coverage. Materials indicate there are no pre-existing condition limitations in the U.S. summary.
  • Retirement Support — Retirement benefits are considered competitive, including employer 401(k) matching and access to financial education and planning resources. These features position long-term savings as a core component of the package.
  • Parental & Family Support — Family-support programs include paid parenting leave, family-care leave, and resources such as childcare support and lactation rooms in some offices. These offerings signal emphasis on supporting caregivers alongside work.

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The Company
HQ: New York, NY
67,118 Employees

What We Do

At Goldman Sachs, we believe progress is everyone’s business. That’s why we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, Goldman Sachs is a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices in all major financial centers around the world. More about our company can be found at www.goldmansachs.com

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