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Ai Quant Jobs in Arizona (NOW HIRING)

YO AI Labs

AI Data Scientist Expert - Remote

Phoenix, AZ · Remote

$100 - $200/hr

Attention to Detail Preferred Qualifications * 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics. * Experience producing or ...

YO AI Labs

AI Data Science Expert - Remote

Phoenix, AZ · Remote

$100 - $200/hr

Attention to Detail Preferred Qualifications * 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics. * Experience producing or ...

Osaic

Quantitative Analyst I

Scottsdale, AZ · Hybrid

$57K - $63K/yr

Apply AI-assisted workflows to improve efficiency, automate repetitive tasks, and accelerate ... quantitative field * Foundational knowledge of data analysis concepts, statistics, and problem ...

Advisor Group

Quantitative Analyst I

Scottsdale, AZ · On-site

$57K - $63K/yr

Apply AI-assisted workflows to improve efficiency, automate repetitive tasks, and accelerate ... quantitative field * Foundational knowledge of data analysis concepts, statistics, and problem ...

Osaic

Quantitative Analyst I

Scottsdale, AZ · On-site

$57K - $63K/yr

Apply AI-assisted workflows to improve efficiency, automate repetitive tasks, and accelerate ... quantitative field * Foundational knowledge of data analysis concepts, statistics, and problem ...

Osaic

Quantitative Analyst I

Scottsdale, AZ · Hybrid

$57K - $63K/yr

Apply AI-assisted workflows to improve efficiency, automate repetitive tasks, and accelerate ... quantitative field Foundational knowledge of data analysis concepts, statistics, and problem ...

Osaic

Quantitative Analyst I

Scottsdale, AZ · Hybrid

$57K - $63K/yr

Apply AI-assisted workflows to improve efficiency, automate repetitive tasks, and accelerate ... quantitative field * Foundational knowledge of data analysis concepts, statistics, and problem ...

EQL Tech

AI Engineer

Phoenix, AZ · On-site

$125K - $175K/yr

AI Engineer Location: San Francisco, CA or Phoenix, AZ (In-Office) Partnership: EQL Tech has been ... One previously worked as a Quant at Goldman Sachs, and the other built the computer vision system ...

EQL Tech

AI Engineer

Phoenix, AZ

$125K - $175K/yr

AI Engineer Location: San Francisco, CA or Phoenix, AZ (In-Office) Partnership: EQL Tech has been ... One previously worked as a Quant at Goldman Sachs, and the other built the computer vision system ...

Vangard, Inc.

AI/ML Product Manager

Scottsdale, AZ · On-site

AI/ML Product Manager As an AI/ML Product Manager at Vanguard, you'll help shape how artificial ... Use qualitative and quantitative analysis to assess performance, improve user experience, and ...

Upgrade

AI Process Improvement Analyst - Ops

Phoenix, AZ

$71K - $88K/yr

We are seeking a highly motivated AI Process Improvement Analyst to join our high-performing team ... Gather anecdotal and quantitative data across Upgrade's proprietary back-end tools, contact center ...

Cisco

Applied AI Scientist

Phoenix, AZ · On-site

We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco ... Master Degree in Computer Science, or related quantitative field, plus 2+ years of industry ...

Cisco

Applied AI Scientist

Tempe, AZ · On-site

We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco ... Master Degree in Computer Science, or related quantitative field, plus 2+ years of industry ...

Deloitte

Finance Analytics & AI Manager

Tempe, AZ

Performing assessments using quantitative and qualitative techniques, including AI-enabled diagnostics and discovery methods * Defining scope, objectives, requirements, and delivery plans; managing ...

Granite

AI Applications & Data Analytics Lead

Tucson, AZ · On-site

General Summary The AI Applications & Data Analytics Lead is responsible for building and scaling ... quantitative fields. Equivalent practical experience may be considered for candidates with a strong ...

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Ai Quant information

What is an AI quant?

An AI Quant, or Artificial Intelligence Quantitative Analyst, is a professional who combines expertise in quantitative finance and machine learning to develop advanced trading strategies, risk models, or analytics tools. AI Quants use algorithms, statistical models, and large datasets to identify patterns, forecast market trends, and make data-driven investment decisions. They often work in hedge funds, investment banks, or proprietary trading firms, collaborating with software engineers and other quants to implement and optimize AI-driven financial models.

How does an AI quant typically collaborate with data scientists, traders, and software engineers within a financial institution?

AI Quants often work closely with data scientists to develop and refine machine learning models using financial data, ensuring models are statistically robust and actionable. They collaborate with traders to translate complex quantitative signals into trading strategies that are practical and aligned with market objectives. Additionally, AI Quants partner with software engineers to implement and optimize these models for real-time deployment, ensuring that the underlying code is scalable, efficient, and reliable. This cross-functional environment requires strong communication skills and adaptability, as priorities can shift with market movements and technological advancements.

What are the key skills and qualifications needed to thrive as an AI quant, and why are they important?

To thrive as an AI Quant, you need a strong background in quantitative analysis, mathematics, statistics, and machine learning, often supported by an advanced degree in a quantitative field. Proficiency in programming languages like Python or C++, experience with data analysis libraries (such as NumPy, pandas, and TensorFlow), and familiarity with financial modeling tools are typically required. Strong problem-solving skills, attention to detail, and effective communication set top performers apart in this role. These skills are crucial for developing robust AI-driven trading strategies and ensuring accurate, data-driven decision-making in the fast-paced financial sector.

What is the difference between Ai Quant vs Data Scientist?

AspectAi QuantData Scientist
Required CredentialsAdvanced degrees in quantitative fields, certifications in machine learning or AIDegrees in computer science, statistics, or related fields; certifications vary
Work EnvironmentFinancial firms, hedge funds, or trading firms focusing on quantitative analysisTech companies, research labs, or any industry leveraging data analysis
Employer & Industry UsagePrimarily finance and trading industriesBroad across tech, healthcare, retail, and more
Common Search & Comparison IntentUnderstanding specialized quantitative roles in financeExploring data analysis careers across industries

Ai Quants focus on developing algorithms and models for financial markets, often requiring advanced quantitative skills and finance-specific knowledge. Data Scientists have a broader scope, applying statistical and machine learning techniques across various industries. While both roles involve data analysis and programming, Ai Quants are specialized in finance, whereas Data Scientists work in diverse sectors.

What are popular job titles related to Ai Quant jobs in Arizona?

For Ai Quant jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Ai Quant jobs in Arizona look for?

The top searched job categories for Ai Quant jobs in Arizona are:

What cities in Arizona are hiring for Ai Quant jobs?

Cities in Arizona with the most Ai Quant job openings:

Ai Quant jobs near you

AI Data Scientist Expert - Remote

Phoenix, AZ • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$100 - $200/hr

Part-time

Posted 17 days ago

Job description

Job Title: AI Data Science Domain Expert

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
  • Develop, optimize, and evaluate prompts to improve AI model performance.
  • Conduct rubric-based assessments of AI outputs and provide structured feedback.
  • Perform independent research and fact-checking to validate technical information.
  • Annotate data and support quality assurance initiatives for AI training.
  • Interpret complex datasets and prepare clear technical reports and summaries.
  • Collaborate remotely with project teams to improve AI models and workflows.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical Documentation
  • Technical & Report Writing
  • Content Review & Editing
  • Data Annotation
  • Data Interpretation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
  • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations.
  • Strong analytical reasoning, critical thinking, and written communication skills.
  • Experience with data annotation, content review, or rubric-based evaluation is preferred.
  • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
  • Master's, MBA, PhD, or other advanced degree is preferred.