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Assistant Machine Learning Quant Jobs in Indiana

Freight Handler

Indianapolis, IN

$14.75 - $19/hr

Keep work areas clean, organized, and free of hazards to support continuous flow. * Assist machine ... Powered by AI and machine learning, our operations platform ensures real-time tracking, custodial ...

Freight Handler

Indianapolis, IN · On-site

$14.75 - $19/hr

Keep work areas clean, organized, and free of hazards to support continuous flow. * Assist machine ... Powered by AI and machine learning, our operations platform ensures real-time tracking, custodial ...

Freight Handler

Indianapolis, IN · On-site

$14.75 - $19/hr

Keep work areas clean, organized, and free of hazards to support continuous flow. * Assist machine ... Powered by AI and machine learning, our operations platform ensures real-time tracking, custodial ...

Requires a Bachelor's degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines and 1 or more years of experience ...

Requires a Bachelor's degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines and 1 or more years of experience ...

Freight Handler

Indianapolis, IN

$14.75 - $19/hr

Keep work areas clean, organized, and free of hazards to support continuous flow. * Assist machine ... Powered by AI and machine learning, our operations platform ensures real-time tracking, custodial ...

Freight Handler

Indianapolis, IN · On-site

$14.75 - $19/hr

Keep work areas clean, organized, and free of hazards to support continuous flow. * Assist machine ... Powered by AI and machine learning, our operations platform ensures real-time tracking, custodial ...

... guidelines. * Assist with mechanical assembly, press operation, laser operation, and other ... The workplace emphasizes safety, quality, and continuous learning, offering a stable setting where ...

... * Assist in developing machine learning models and algorithms to solve complex business problems and improve operational efficiency. * Create and maintain detailed documentation of data analysis ...

In this role, you will participate in tasks that help improve machine learning models, including ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

In this role, you will participate in tasks that help improve machine learning models, including ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

In this role, you will participate in tasks that help improve machine learning models, including ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Showing results 21-40

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:
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.

Data Scientist - AI & Agentic Solutions

Aunalytics

South Bend, IN

Other

Posted 25 days ago


Job description

Location

South Bend, IN - Hybrid

Type

Full-time

Travel

Occasional, client-dependent

Level

Senior Individual Contributor

About the Role

Aunalytics is a data and AI company. We build the data foundation that makes AI work in the real world, and we pair that technology with the hands-on expertise and guidance our clients need to see business impact. We apply our data and AI approach to IT services and to financial institutions. With well over a decade of experience, a proprietary platform, and a team of data scientists, engineers, and industry experts, we're a trusted partner for midsized businesses across the U.S. We're headquartered in South Bend, IN with offices in Michigan, Ohio, and New Jersey. If you want to do meaningful work at a company where your contributions move the needle for clients, for the business, and for the team around you, you'll fit right in here.

What You'll Do

  • Partner with client leadership teams to identify where AI and AI agents can grow revenue, automate work, and improve customer experience
  • Make data AI-ready — integrate and cleanse disparate data into a foundation that models and agents can use
  • Design, build, and deploy machine learning, generative AI, and agentic workflows (from customer intelligence and lead prioritization to automating manual processes)
  • Build proofs-of-concept and production-ready solutions on the Aunalytics data platform and cloud, integrated with client systems
  • Advise on AI strategy — feasibility, risk, sequencing, and expected ROI — in language leadership can act on.
  • Define success metrics and measure impact, then iterate based on real-world results
  • Communicate clearly to both technical and non-technical audiences, from analysts to the C-suite
  • Handle regulated data responsibly, in line with client compliance requirements (SOC 2, PCI, GLBA, and HIPAA where applicable)
  • Stay current on the fast-moving AI, LLM, and agent landscape, and bring the best of it to engagements

What You'll Bring

Required

  • A PhD in a quantitative field (Computer Science, Statistics, Data Science, Engineering, or similar) — preferred; OR a Master's degree in a related field plus 5+ years of applied data science experience
  • Strong applied machine learning skills and fluency in Python and common data science / ML libraries
  • Hands-on experience with LLMs and agentic / generative AI — building real applications with techniques like RAG, prompt engineering, agent frameworks, and orchestration
  • A track record of taking problems from ambiguity to deployed solution, not just prototypes
  • Excellent communication and stakeholder skills — you're comfortable advising and influencing senior leaders
  • Comfort juggling multiple concurrent engagements and shifting context between clients

Nice to Have

  • Prior consulting or client-facing experience.
  • Working knowledge of data governance and compliance frameworks (SOC 2, PCI, GLBA, HIPAA)

Why Aunalytics

  • Real impact. Your work directly shapes how multiple purpose-driven, midsized organizations operate and grow.
  • Variety. Different clients, different problems — you work alongside data scientists and industry experts, not in a silo.
  • Frontier work. Applied AI and agents in real, regulated production environments
  • Purpose and community. A South Bend-rooted company that believes an inclusive, diverse team does the best work