ZipRecruiter

Log In

1

Ai Quant Jobs in Indiana (NOW HIRING)

NextBillion.ai

Product Designer (Remote)

Indianapolis, IN · On-site +1

... quantitative data. Roles and Responsibilities: * Identify new product improvement opportunities ... NextBillion.ai helps solve highly complex transportation and operational challenges. Every customer ...

micro1 AI

Domain Expert - (STEM PhD)

Indianapolis, IN · Remote

$80 - $90/hr

Analyze data and interpret results to inform AI training datasets with precision * Apply sophisticated calculus and quantitative methodologies to problem-solving tasks * Ensure clarity, accuracy, and ...

NextBillion.ai

Product Designer (Remote)

Indiana, PA · Remote

... quantitative data. Roles and Responsibilities: * Identify new product improvement opportunities ... NextBillion.ai helps solve highly complex transportation and operational challenges. Every customer ...

Elevance Health

Gen AI Engineer

Indianapolis, IN · Hybrid

Requires a Bachelor's degree in a highly quantitative field (Computer Science, Machine Learning ... AI (GAI) * Experience with NLP, LLMs (extractive and generative), fine-tuning and LLM model ...

Elevance Health

Gen AI Engineer

Indianapolis, IN · Hybrid

Requires a Bachelor's degree in a highly quantitative field (Computer Science, Machine Learning ... AI (GAI) * Experience with NLP, LLMs (extractive and generative), fine-tuning and LLM model ...

Cisco

Applied AI Scientist

Indianapolis, IN

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 ...

New

Elevance Health

AI Engineer Senior

Indianapolis, IN · Hybrid

$99K - $137K/yr

AI Engineer Senior AI Engineer Senior Location: This role requires associates to be in-office 1 - 2 ... Requires a Bachelor's degree in a highly quantitative field (Computer Science, Machine Learning ...

Elevance Health

AI Engineer Senior

Indianapolis, IN · Hybrid

$99K - $137K/yr

AI Engineer Senior AI Engineer Senior Location: This role requires associates to be in-office 1 - 2 ... Requires a Bachelor's degree in a highly quantitative field (Computer Science, Machine Learning ...

next page

Showing results 1-20

All JobsAi Quant JobsAi Quant Jobs in Indiana

Ai Quant information

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or AI executive, often involving advanced skills in data science, programming, and AI frameworks. These roles usually require extensive experience, specialized knowledge, and may include leadership responsibilities or equity components in tech companies.

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.

Is AI taking quant jobs?

AI is increasingly used in quantitative finance roles, automating data analysis, modeling, and trading strategies. Quantitative analysts often need skills in programming, machine learning, and statistical analysis to work effectively with AI tools. While AI can augment quant roles, human expertise remains essential for strategy development and oversight.

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.

Which 3 jobs will survive AI?

AI Quant roles in finance and data analysis are likely to persist due to the need for specialized quantitative skills, complex modeling, and domain expertise. Jobs that require creative thinking, emotional intelligence, and complex human interaction, such as healthcare professionals and skilled trades, are also expected to remain resilient. These roles often involve tasks that are difficult for AI to fully replicate or replace.
What are popular job titles related to Ai Quant jobs in Indiana? For Ai Quant jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Ai Quant jobs in Indiana look for? The top searched job categories for Ai Quant jobs in Indiana are:
What cities in Indiana are hiring for Ai Quant jobs? Cities in Indiana with the most Ai Quant job openings:
Ai Quant jobs near you
Engineering AI Evaluator (PhD)

Engineering AI Evaluator (PhD)

micro1 AI

Indianapolis, IN • Remote

$80 - $90/hr

Part-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Role Title: PhD Engineer (Electrical, Mechanical, Chemical)


Role Type: Contractor


Location: Remote


micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to contribute to a high-impact customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Deliver authoritative written responses to complex engineering prompts in your area of expertise
  2. Review and interpret scientific literature to provide contextually accurate and current insights
  3. Design and document realistic experimental scenarios based on advanced engineering principles
  4. Analyze data and interpret results to inform AI training datasets with precision
  5. Apply sophisticated calculus and quantitative methodologies to problem-solving tasks
  6. Ensure clarity, accuracy, and completeness of all submitted materials based on provided guidelines
  7. Collaborate with project coordinators to refine prompt response quality as needed


Preferred Qualifications

  1. PhD in Electrical, Mechanical, or Chemical Engineering
  2. Demonstrated expertise in calculus, data analysis, research methodology, and experimental design
  3. Exceptional written and verbal communication skills with the ability to convey complex concepts clearly
  4. Strong literature review capabilities and familiarity with synthesizing scientific knowledge
  5. Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not required)
  6. Proven ability to produce "golden response" level deliverables with accuracy and completeness
  7. Detail-oriented mindset and commitment to high-quality, impactful contributions

Apply