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Assistant Machine Learning Quant Jobs in Indiana

Crowe LLP

Machine Learning Engineer

South Bend, IN · On-site

$62K - $100K/yr

Write high-quality, production-ready code and assist in code reviews to maintain standards of excellence. * Develop and implement comprehensive testing protocols, including smoke tests and unit tests ...

Crowe LLP

Machine Learning Engineer

Fort Wayne, IN · On-site

$62K - $100K/yr

Write high-quality, production-ready code and assist in code reviews to maintain standards of excellence. * Develop and implement comprehensive testing protocols, including smoke tests and unit tests ...

Crowe LLP

Machine Learning Engineer

Indianapolis, IN · On-site

$62K - $100K/yr

Write high-quality, production-ready code and assist in code reviews to maintain standards of excellence. * Develop and implement comprehensive testing protocols, including smoke tests and unit tests ...

Socket.dev

Data Scientist

Indianapolis, IN · On-site

$110 - $170/hr

Develop statistical models, machine learning models, and advanced analyses using large-scale ... quantitative field Preferred Qualifications * Experience with Delta Lake, Snowflake, or similar ...

United States Digital Space LLC

Data Scientist

Warsaw, IN · On-site

$85.37 - $96.85/hr

... machine learning techniques, and data storytelling. We understand our company's goals and ... Bachelor's Degree in Computer Science, Math, Statistics, Engineering, a related quantitative field ...

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Assistant Machine Learning Quant information

What is an assistant machine learning quant?

Assistant Machine Learning Quants are entry-level professionals in quantitative finance who support senior quants by applying machine learning techniques to analyze financial data, build predictive models, and develop trading strategies. Their responsibilities often include data cleaning, feature engineering, model selection, and performance evaluation. They work closely with quantitative researchers and traders to improve algorithmic trading systems and risk management processes. This role typically requires strong programming skills, a solid understanding of machine learning concepts, and familiarity with financial markets.

How does an assistant machine learning quant typically collaborate with senior quants and data scientists on projects?

As an Assistant Machine Learning Quant, you will often work closely with senior quantitative researchers and data scientists by supporting model development, data preprocessing, and feature engineering tasks. You may contribute to brainstorming sessions, implement prototypes, and assist in backtesting trading strategies or risk models. This collaborative environment provides valuable mentorship opportunities and exposure to best practices in quantitative analysis and machine learning within the finance industry. Effective communication and a willingness to learn from senior team members are key to success in this role.

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

To thrive as an Assistant Machine Learning Quant, you need strong quantitative skills, a background in statistics or mathematics, and typically a degree in a STEM field. Familiarity with programming languages such as Python or R, experience with machine learning frameworks, and knowledge of financial modeling tools are essential. Strong problem-solving abilities, attention to detail, and effective communication are standout soft skills in this role. These competencies enable accurate model development, efficient data analysis, and clear collaboration with team members in high-stakes financial environments.

What are the most commonly searched types of Machine Learning Quant jobs in Indiana?

The most popular types of Machine Learning Quant jobs in Indiana are:

What are popular job titles related to Assistant Machine Learning Quant jobs in Indiana?

For Assistant Machine Learning Quant jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Assistant Machine Learning Quant jobs in Indiana look for?

The top searched job categories for Assistant Machine Learning Quant jobs in Indiana are:

What cities in Indiana are hiring for Assistant Machine Learning Quant jobs?

Cities in Indiana with the most Assistant Machine Learning Quant job openings:

Assistant Machine Learning Quant jobs near you
Infographic showing various Assistant Machine Learning Quant job openings in Indiana as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Artificial Intelligence/Machine Learning Engineer

Indianapolis, IN • On-site

Wabash Valley Power Alliance
Utilities • 51 - 200 employees
Learn more about Wabash Valley Power Allianceexternal

$109K - $131K/yr

Full-time

Medical, Retirement, PTO

Re-posted 28 days ago

Job description

Company Description
About Us
Headquartered in Indianapolis, Indiana, Wabash Valley Power is a not-for-profit electric cooperative and wholesale provider of reliable, affordable electricity to our 21 electric distribution member cooperatives. These cooperatives in turn serve more than 280,000 homes, businesses, and farms in Indiana and Illinois.
As a not-for-profit co-op, we do things a bit differently-and that's the point. Because we aren't influenced by shareholders, we make our decisions with our members in mind. That means we value things like teamwork, and putting families first. It also means a business model that's designed for stability and growth. It's a Deliberately Different approach to the energy industry, and that's great news for the people who count on us.
What You'll Get
We believe what benefits our employees benefits our company. That's why we put employees first-your health, your family, and your development. These aren't just slogans: We offer continuing education, flex time, health benefits, a 401(k) match and pension plan, and much more. Here are just a few of the things that make our company culture unique:
• No Sweat - We offer a wellness program that includes a payroll credit for medical insurance, an on-site fitness center for your convenience and extra vacation days for participating. We'll even throw in a fitness device reimbursement to keep you on track!
• Flex Time - Our flexible schedule means you can work in your appointments or family events and maintain a comfortable work-life balance.
• Stay in School - We value employees who have a desire to learn, so we provide funds for continuing education. We also offer in-house training and ongoing development through our internal GROW program.
• Keep it Casual - When you work for us, you work in comfort. Blue jeans are the norm in our office, and we make them look good!
• Work Hard, Play Hard - We reward our employees with generous vacation time, to the tune of up to five weeks off a year. Even our new employees receive credit for prior work experience.
Job Description
This position will design, implement, and support artificial intelligence (AI)/machine learning (ML) systems as the subject matter expert for Wabash Valley Power Alliance. This position will work with all business units, member cooperatives, and business partners to automate and optimize workflows and processes while limiting business risks. Success requires a desire to work with a broad range of technologies, systems, and databases to benefit Wabash Valley Power and our Member Cooperatives. This position will also identify and develop AI/ML education for Wabash Valley Power and member cooperative staff.
This role is hybrid in nature, with a combination of on-site workdays and remote workdays.
Essential Duties and Responsibilities:
  • Maintain compliance with all company policies and procedures
  • Present artificial intelligence and data finding to technical and non-technical stakeholders
  • Design, implement, administer, monitor, and maintain artificial intelligence/machine learning systems
  • Design, analyze, and maintain system algorithms including data models, natural language models, and machine learning models
  • Train and evaluate artificial intelligence system to ensure systems remain accurate with limited hallucinations
  • Perform complex analysis on large data sets and communicate meaningful intelligence to Technical Service Leadership
  • Research, prototype, and recommend new technology platforms or systems to improve business workflows and reduce risks
  • Maintain a constant level of expertise in all artificial intelligence technologies including but not limited to generative AI, machine learning, natural language processing, and deep learning
  • Develop and maintain computer code need for artificial intelligence system and business automation systems
  • Develop and implement AI models for tasks such as:
    • Predictive maintenance: Analyze sensor data to predict equipment failures and optimize maintenance scheduling
    • Load forecasting: Improve the accuracy of electricity demand forecasts to ensure reliable and cost-effective power generation
  • Develop and present reports on systems and business workflows
  • Develop and foster relationships with universities AI/ML programs
  • Education end-users on AI/ML tools and how they can be used within the organization and member cooperatives
  • Perform additional activities needed to demonstrate regulatory compliance with NERC CIP security standards.

Qualifications
  • Bachelor's Degree in quantitative science, engineering, or other STEM field
  • Three to five years prior artificial intelligence/machine learning or data analysis experience
  • Excellent verbal and written communication skills, including ability to effectively communicate with internal and external customers
  • Excellent technology proficiency with a strong commitment to continuous learning
  • Must be able to work under pressure and meet deadlines, while maintaining a positive attitude and providing exemplary customer service
  • Ability to work independently and to carry out assignments to completion within parameters of instructions given, prescribed routines, and standard accepted practices

Preferred Experience:
  • Any system, network, or cybersecurity related experience or certifications are a plus
  • Experience working with data rich problems in research or professional projects is a plus
  • Graduate degree in data science, computational science, or artificial intelligence is a plus
  • Experience with data analysis tools such as R and Python

Additional Information
All your information will be kept confidential according to EEO guidelines.

Apply