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Assistant Machine Learning Quant Jobs in Indiana

A Bachelor's in a quantitative field (engineering, mathematics, physics, machine learning, statistics or computer science) are the ideal candidates. * At least 2+ years of industry experience outside ...

Conduct quantitative testing including backtesting, stress testing, benchmarking, and scenario ... Develop benchmarking tools and potentially leverage machine learning techniques * Contribute to ...

AI Architect, Manager

Indianapolis, IN · On-site +1

$60.25 - $79.25/hr

... clients. * Assist in delivery as AI SME, Solution Architect, or Technical Architect * Provide ... quantitative field such as computer science, applied mathematics, statistics or machine learning ...

... quantitative discipline. * 8-12+ years of experience in data science, statistical modeling, or advanced analytics roles. * Deep expertise in machine learning algorithms, statistical modeling ...

... machine learning, or a closely related field * Master's or Ph.D. in Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline, or equivalent professional experience

... machine learning, or a closely related field * Master's or Ph.D. in Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline, or equivalent professional experience

Machine Operator

Greenfield, IN

$16.25 - $19.50/hr

Monitor machine performance, identify basic mechanical issues, and assist with troubleshooting to ... Participate fully in the structured training program, including lecture-based learning and hands-on ...

Machine Operator

Indianapolis, IN

$15 - $17.75/hr

Monitor machine performance, identify basic mechanical issues, and assist with troubleshooting to ... Participate fully in the structured training program, including lecture-based learning and hands-on ...

Machine Operator

Greenfield, IN

$16.25 - $19.50/hr

Monitor machine performance, identify basic mechanical issues, and assist with troubleshooting to ... Participate fully in the structured training program, including lecture-based learning and hands-on ...

Machine Operator

Greenfield, IN

$16.25 - $19.50/hr

Monitor machine performance, identify basic mechanical issues, and assist with troubleshooting to ... Participate fully in the structured training program, including lecture-based learning and hands-on ...

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Assistant Machine Learning Quant information

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.

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 Assistant Machine Learning Quants?

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.
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 May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Manager, Data Science (ML Focus) - Remote in the US

Manager, Data Science (ML Focus) - Remote in the US

Resultant

Indianapolis, IN • Remote

Full-time

Posted 28 days ago


Job description

Company Description

We are a passionate team of 300+ engineers, mathematicians, data analysts, project managers, and business consultants. But more importantly, we are active listeners, deep thinkers, and courageous problem solvers. 

The Resultant team purposefully comes together to produce a positive outcome. Our name symbolizes our commitment to empathy and collaboration-of not just delivering our clients with the best solutions, but to deeply listening to them, understanding their needs, and learning from each other in the process. The force of Resultant comes from the combined knowledge, passion, and innovation of our team and partners. 

Together, we partner with clients in the public and private sectors to help them overcome their most complex challenges, empowering our clients to drive meaningful change in their organizations and communities. In everything you do, you'll help your clients, colleagues, and communities thrive.  

Resultant was founded as KSM Consulting in 2008. 

Job Description

AtResultant,we are fearless problem solvers.We are passionate about helping our clients solve their toughest problems, while empathizing with people our solutions will help.Data analytics is a core component of how we do this. We are looking for a Senior Data Scientist / Machine Learning Engineer (DS/MLE) to add to our talented team of team of Data Scientists, Data Engineers, and Data Architects to solve some of the most exciting and challenging problems faced by companies and governments in today's fast-paced environment. As a Senior DS/MLE, you will have the opportunity to develop novel machine learning and AI solutions and deploy them to production applications and systems. 

Here is what a typical day for you might look like: 

  • Engaging directly with current and prospective clients to understand business needs, translate them into technical requirements, and communicate findings in a clear, actionable way 

  • Partnering with internal and client stakeholders to shape solutions, develop proposals, and contribute to go-to-market initiatives 

  • Design, develop and deploy efficient data pipeline for both structured and unstructured data 

  • Productionize machine learning research in both on premises and cloud environments 

  • Rapid prototyping solutions and integrating of new data sources 

  • Drive optimization, testing and tooling to improve quality of solutions 

  • Develop and apply machine learning and advanced analytics algorithms to solve problems you have never seen before 

  • Collaborate with data architects and software developers to plan and construct the architecture of model deployment 

  • Develop and support APIs to serve models and other data solutions 

  • Continuously learning and adopting new tools and technologies to stay ahead in a rapidly evolving AI landscape 

Qualifications

*This is not an entry level/recent graduate role and requires at least 5+years of related industry experience.*

Education and Experience: 

Required 

  • Experience working in a consulting firm (professional services or managed services)

  • Previous experience managing a team of Data Scientists.

  • Bachelor's degree (and preferably an advanced degree) in Computer Science, Engineering, or in a quantitative field is required 

  • 5+ years experience with software engineering in Python (additional languages like Scala/C++/R are a plus) 

  • 3+ years experience with Databricks and/or Apache Spark 

  • 3+ years experience with advanced analytics and modern machine learning techniques 

  • 3+ years experience with APIs, containerization (Docker), and orchestration (Airflow) 

  • 3+ experience with relational databases and SQL (Postgres, Redshift, SQL Server) 

  • 3+ experience with Cloud platforms (Azure, AWS, GCP) and services 

  • Proficient with version control 

  • Proficient in software architecture and design patterns 

  • Proficient on Linux for both development and operations 

Preferred 

  • Experience with deploying applications on Kubernetes 

  • Experience with Palantir Foundry 

  • Experience with Python API development frameworks (FastAPI, Django, Flask)  

  • Experience with NoSQL and streaming platforms, e.g., Kafka, MongoDB, Neo4j 

Consulting, Communication and Leadership Skills: 

  • Experience working in a consulting or client-facing environment, collaborating directly with business stakeholders 

  • Strong ability to translate complex technical concepts for non-technical audiences 

  • Demonstrated experience contributing to business development efforts, including proposal writing, solutioning, and partnering with sales or account teams 

  • Solution creativity and effective written, verbal, and presentation skills 

  • Proven success working across diverse industries and project sizes with a collaborative, outcomes focused mindset 

  • Entrepreneurial inclination to discover novel opportunities for applying analytical techniques to business and social problems 

Additional Information

What It's Like to Work Here

At Resultant, we are driven by purpose-partnering with clients to take on their toughest challenges and creating outcomes that make a real difference. Success here means lasting impact, not just delivered projects. We work as collaborative experts, leaning into complexity with confidence and humility, asking smart questions, sharing ideas freely, and combining our diverse expertise to turn challenges into clear, transformative solutions. We make our outcomes visible by sharing results, stories, and lessons learned, because growth happens through shared experience.

Accountability & Ownership

Resultant offers a flexible, high-trust environment, paired with a shared commitment to accountability:

  • Take ownership of your work from start to finish and deliver on your commitments to clients and coworkers
  • Communicate proactively, especially when priorities shift
  • Focus on outcomes, follow-through, and measurable impact
  • Show up where it matters, in person or virtually, when it strengthens relationships or results
  • Do the small things brilliantly: respond timely, stay organized, and follow through to build trust

We trust each other to own our work and deliver exceptional results. Flexibility means autonomy paired with accountability: the freedom to work in ways that fit your life, balanced with the reliability our clients and coworkers count on.

Is Resultant the right spot for you?

You may thrive here if you bring curiosity and a consulting mindset to every challenge, take ownership of your growth, and give and receive feedback with intention. If you're energized by bold ideas, continuous learning, and investing in the people around you, this is your place. At Resultant, we show up for each other, own our outcomes, and build leaders who create lasting impact for our clients, our communities, and each other.

Equal Opportunity Employer 

We embrace AI across everything we do, and that includes how you prepare for this interview. Feel free to use AI tools to research the role, practice your responses, and put your best foot forward. What matters to us is getting to know the real you - how you think, how you communicate, and what you genuinely bring to the table. Our interviews are designed to go deeper than any polished answer, so come curious and come as yourself without the support of an AI tool during our conversation.