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Vice President Liquidity Risk Management Jobs in Texas

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Vice President Liquidity Risk Management information

What is the difference between Vice President Liquidity Risk Management vs Vice President Credit Risk Management?

AspectVice President Liquidity Risk ManagementVice President Credit Risk Management
Primary FocusManaging liquidity risk, cash flow, funding strategiesAssessing and managing credit risk, borrower creditworthiness
Required CredentialsFinance, risk management certifications, banking experienceFinance, credit analysis certifications, banking experience
Work EnvironmentBanking institutions, financial services firmsBanking institutions, financial services firms
Industry UsageCommon in banks, asset managers, financial institutionsCommon in banks, lending institutions, credit agencies

The Vice President Liquidity Risk Management focuses on ensuring sufficient liquidity and funding strategies, while the Vice President Credit Risk Management concentrates on evaluating and mitigating credit risks associated with borrowers. Both roles require financial expertise and are vital in banking and financial services, but they target different risk areas within the organization.

What are the most commonly searched types of Liquidity Risk Management jobs in Texas?

The most popular types of Liquidity Risk Management jobs in Texas are:

What cities in Texas are hiring for Vice President Liquidity Risk Management jobs?

Cities in Texas with the most Vice President Liquidity Risk Management job openings:

Infographic showing various Vice President Liquidity Risk Management job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

Corporate Treasury, Dallas, Vice President, Software Engineering

Dallas, TX • On-site


Goldman Sachs Group, Inc.
Finance and Insurance • 10K+ employees

7.8

Company rating: 7.8 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

88th of 172 rated banks

Good employer

Recommended by parents

Respectful managers


$140 - $180/hr

Other

Posted 11 days ago


Job description

Corporate Treasury, Dallas, Vice President, Software Engineering Job Description

We are seeking an AI Engineer with 5+ years of experience to join the Liquidity Risk technology team. In this role, you will design, build, and deploy AI‑driven solutions that enhance liquidity risk monitoring, stress testing, scenario generation, and decision support. You will work closely with liquidity risk managers, quantitative teams, and engineering partners to translate complex risk problems into scalable, production‑ready AI systems.

Key Responsibilities
  • Design, develop, and deploy machine learning and AI models to support liquidity risk metrics, stress scenarios, early‑warning indicators, and forecasting.
  • Build end‑to‑end AI pipelines, including data ingestion, feature engineering, model training, validation, deployment, and monitoring.
  • Apply supervised, unsupervised, and time‑series modeling techniques to large‑scale financial and transactional datasets.
  • Partner with liquidity risk managers and quantitative teams to translate regulatory and business requirements into AI‑driven solutions.
  • Optimize Agents' performance, scalability, and reliability in distributed and cloud‑based environments.
  • Contribute to the firm’s AI engineering standards, including testing, model documentation, and production controls.
  • Mentor junior engineers and contribute to code reviews, design discussions, and architecture decisions.
Required Qualifications
  • 5+ years of professional experience as an AI Engineer in a production environment.
  • Hands‑on experience in integrating LLM models using agents and developing monitoring and observability tools for those agents.
  • Experience with AWS Bed Rock platform especially using AWS Agent core for deploying agents.
  • Experience in developing agents using Google ADK or Lang Graph frameworks and deploying them on AWS.
  • Exposure to distributed computing frameworks and workflow orchestration tools (e.g., Airflow).
  • Strong proficiency in Python and experience with ML/AI libraries such as PyTorch, or similar.
  • Solid understanding of machine learning fundamentals, including model selection, bias‑variance trade‑offs, and evaluation techniques.
  • Experience working with large, structured datasets using SQL and distributed data platforms (cloud data warehouses).
What We Offer
  • Opportunity to work at the intersection of AI, engineering, and liquidity risk at a global scale.
  • High‑impact role influencing how the firm measures and manages liquidity under stress.
  • Collaborative environment with exposure to senior risk managers, quants, and technology leaders.
  • Ongoing learning, development, and career progression within the Liquidity and Engineering organizations.
Job Info
  • Job Identification 167266
  • Job Category Vice President
  • Posting Date 06/02/2026, 01:30 PM
  • Locations Dallas, TX, United States
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About Goldman Sachs

Sourced by ZipRecruiter

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.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869


What Goldman Sachs employees say

Pay

Benefits

Hours and flexibility

Workplace

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