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Liquidity Risk Jobs in Arizona (NOW HIRING)

Sr. Treasury Advisor

Phoenix, AZ · On-site

$51K - $95K/yr

... liquidity management. * Attends industry forums and community events, enhancing the Bank's brand ... Take measured risks while protecting the bank by applying our Risk Management Framework in the ...

Sr. Treasury Advisor

Phoenix, AZ · On-site

$51K - $95K/yr

... liquidity management. * Attends industry forums and community events, enhancing the Bank's brand ... Take measured risks while protecting the bank by applying our Risk Management Framework in the ...

Commercial Underwriter III

Phoenix, AZ · On-site

$98K - $140K/yr

Use financial data such as cash flow, liquidity, profitability, and leverage to determine and minimize the overall risk of extending credit to businesses and individuals. * Work with Commercial ...

Risk Management & Internal Controls -Identifies, assesses, and mitigates financial risks through ... Manage cash flow, banking relationships, and investment accounts, ensuring liquidity, appropriate ...

Senior Controller

Phoenix, AZ · On-site

$140K - $170K/yr

... control, and risk management in the high-stakes aerospace sector. The ideal candidate is a ... Manage cash flow, wire transfers, liquidity and working capital to support operational needs.

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Showing results 1-20

Liquidity Risk information

See Arizona salary details

$14

$37

$61

How much do liquidity risk jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for liquidity risk in Arizona is $37.73, according to ZipRecruiter salary data. Most workers in this role earn between $27.79 and $45.91 per hour, depending on experience, location, and employer.

What is liquidity risk?

Liquidity risk refers to the danger that an individual or organization will not be able to meet its short-term financial obligations due to the inability to convert assets into cash quickly without significant loss. In financial institutions, managing liquidity risk is crucial to ensure that there are enough liquid assets to cover withdrawals, payments, and other immediate liabilities. Effective liquidity risk management helps maintain the stability and solvency of institutions, especially during market disruptions or economic downturns.

What are the key skills and qualifications needed to thrive as a Liquidity Risk Analyst, and why are they important?

To thrive as a Liquidity Risk Analyst, you need a solid background in finance, quantitative analysis, and risk management, often supported by a degree in finance, economics, or a related field. Familiarity with risk modeling tools, financial databases, and regulatory reporting systems, as well as certifications like FRM or CFA, is typically expected. Strong analytical thinking, attention to detail, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These skills ensure accurate risk assessment, regulatory compliance, and sound financial decision-making to protect an organization’s financial stability.

What are some common challenges faced by professionals working in Liquidity Risk management?

Professionals in Liquidity Risk management often face the challenge of rapidly changing market conditions that can impact an institution’s cash flow and funding needs. They must constantly monitor and analyze various liquidity metrics, stress scenarios, and regulatory requirements to ensure the organization maintains adequate liquidity buffers. Additionally, collaborating with multiple departments such as Treasury, Risk, and Finance is essential to gather timely data and implement effective liquidity strategies. Managing competing priorities and adapting to new regulations are also frequent challenges in this role.

What is the difference between Liquidity Risk vs Treasury Analyst?

AspectLiquidity RiskTreasury Analyst
Primary FocusManaging and assessing liquidity risk to ensure sufficient cash flowManaging company’s finances, cash flow, and banking relationships
Required CredentialsFinance, risk management certifications (e.g., FRM, CFA)Finance, accounting, or related degrees; certifications like CFA beneficial
Work EnvironmentRisk management teams within financial institutions or corporationsCorporate finance departments, banks, or investment firms
Industry UsageFinancial services, banking, investment firmsCorporations, banks, financial institutions

Liquidity Risk professionals focus on identifying and mitigating risks related to insufficient liquidity, ensuring the organization can meet its short-term obligations. Treasury Analysts handle broader financial management, including cash flow, banking relationships, and financial planning. While both roles require financial expertise and certifications like CFA, Liquidity Risk specialists are more risk-focused, whereas Treasury Analysts manage overall financial operations.

What are the most commonly searched types of Liquidity Risk jobs in Arizona? The most popular types of Liquidity Risk jobs in Arizona are:
What are popular job titles related to Liquidity Risk jobs in Arizona? For Liquidity Risk jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Liquidity Risk jobs in Arizona look for? The top searched job categories for Liquidity Risk jobs in Arizona are:
Infographic showing various Liquidity Risk job openings in Arizona as of June 2026, with employment types broken down into 4% As Needed, 79% Full Time, 13% Part Time, and 4% Temporary. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution, with an average salary of $78,474 per year, or $37.7 per hour.
AI Platform Director- Data Engineering

AI Platform Director- Data Engineering

First Citizens Bank

Phoenix, AZ • On-site

$251K/yr

Full-time

Posted 3 days ago


First Citizens Bank rating

7.6

Company rating: 7.6 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

79th of 141 rated banks


Job description

Overview

We are seeking an experienced Director to lead the AI platform engineering and enablement functions within our expanding Cloud Data and AI Platform organization. This role is instrumental in building, operationalizing, and governing the next-generation AI and machine learning ecosystem that powers advanced analytics and responsible AI adoption across the bank. You will own the end-to-end AI lifecycle—from data and model development to MLOps, deployment, governance, and responsible AI compliance in a regulated financial environment.

As a seasoned technology leader, you will bring your expertise in enterprise AI architecture, model operations, and platform engineering to partner with key business, technology, and governance stakeholders—ensuring AI initiatives are responsibly implemented, well-controlled, and deliver measurable value. 


Responsibilities

AWS AI/ML Platform Ownership

  • Architect and lead AI/ML workloads on AWS including:
    • Amazon SageMaker (training, deployment, model registry)
    • AWS Bedrock (foundation models and GenAI use cases)
    • AWS Lambda, ECS, EKS for model serving
    • S3, Glue, Snowflake for data pipelines
  • Define enterprise standards for MLOps, feature stores, and model lifecycle management
  • Build and maintain integrations with enterprise platforms for data ingestion, metadata management, tokenization, and control evidence generation. 
  • Continuously enhance the platform’s automation, resilience, and observability, ensuring robust end-to-end telemetry for both model and data pipelines. 
  • Collaborate with Enterprise Risk, Legal, Compliance, and Model Risk partners to embed Responsible AI principles and audit-ready control evidence directly into platform design. 

Machine Learning & GenAI Execution

  • Oversee development of ML models across all business units including Fraud detection systems, Credit scoring and risk modeling, Customer segmentation and personalization, Liquidity related modeling etc.
  • Lead GenAI initiatives using LLMs for Document intelligence, AI copilots etc.

 

Data & Engineering Collaboration

  • Partner with data engineering teams to ensure high-quality, governed datasets
  • Define feature engineering and data product standards in Snowflake / data lake environments
  • Integrate real-time streaming data for low-latency decision systems

 

Model Governance & Risk Compliance

  • Define and enforce standards, patterns, and guardrails for model deployment, explainability, lineage, and monitoring in alignment with enterprise risk, compliance, and security frameworks. 
  • Partner closely with leaders across Responsible AI Governance, AI Portfolio Management, AI Fluency & Engagement, and Applied Data Science & GenAI, in collaboration with enterprise risk partners, to implement a responsible AI framework that embeds audit-ready control evidence and governance mechanisms directly into the platform’s core design to ensure the platform supports scalable, ethical, compliant, and high-impact AI delivery. 
  • Implement model explainability (SHAP, LIME, interpretability frameworks)
  • Establish responsible AI policies (bias detection, fairness, auditability)

 

Team Building & Leadership

  • Develop and mentor engineering talent, championing Agile practices, continuous learning, and adoption of emerging AI and data engineering technologies. 
  • Mentor senior technical leaders and establish engineering best practices
  • Oversee technical due diligence, onboarding, and management of strategic AI and GenAI vendors and tools, ensuring compatibility with enterprise architecture and control

Qualifications

Bachelor's Degree and 8 years of experience in Information Technology including application development, support roles, and management. OR High School Diploma or GED and 12 years of experience in Information Technology including application development, support roles, and management.

Required Qualifications

  • Deep hands-on experience building production ML systems on AWS
  • 2+ years in AI/ML, data science, or data engineering leadership roles
  • Strong knowledge of:
    • Machine learning (XGBoost, deep learning, NLP, time series)
    • MLOps practices (CI/CD, model monitoring, drift detection)
    • Distributed systems and cloud architecture
  • Strong programming background in Python + SQL (Scala/Java a plus)
  • Experience working in regulated environments with model governance
  • Bachelor's Degree and 8 years of experience in Information Technology including application development, support roles, and management. OR High School Diploma or GED and 12 years of experience in Information Technology including application development, support roles, and management.

Preferred Qualifications

  • Experience with Generative AI / LLM platforms (Bedrock, OpenAI, Claude APIs)
  • Experience in financial services, banking, fintech, or insurance
  • Familiarity with data platforms like Snowflake, Databricks

#LI-XG1

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Qualifications:

Bachelor's Degree and 8 years of experience in Information Technology including application development, support roles, and management. OR High School Diploma or GED and 12 years of experience in Information Technology including application development, support roles, and management.

Required Qualifications

  • Deep hands-on experience building production ML systems on AWS
  • 2+ years in AI/ML, data science, or data engineering leadership roles
  • Strong knowledge of:
    • Machine learning (XGBoost, deep learning, NLP, time series)
    • MLOps practices (CI/CD, model monitoring, drift detection)
    • Distributed systems and cloud architecture
  • Strong programming background in Python + SQL (Scala/Java a plus)
  • Experience working in regulated environments with model governance
  • Bachelor's Degree and 8 years of experience in Information Technology including application development, support roles, and management. OR High School Diploma or GED and 12 years of experience in Information Technology including application development, support roles, and management.

Preferred Qualifications

  • Experience with Generative AI / LLM platforms (Bedrock, OpenAI, Claude APIs)
  • Experience in financial services, banking, fintech, or insurance
  • Familiarity with data platforms like Snowflake, Databricks

#LI-XG1

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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