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Quant Developer From Home Jobs in Utah (NOW HIRING)

NICE

Senior Machine Learning Engineer

Sandy, UT · Hybrid

$99K - $136K/yr

This role requires deep expertise in speech AI systems, strong quantitative skills, and the ... from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face ...

BBA, Inc.

Mineral Processing Leader

Salt Lake City, UT · On-site

$100K - $130K/yr

Lead process engineering activities for projects, from studies through to detailed engineering and ... A flexible schedule that combines office presence and working from home * A caring environment ...

NICE

Senior Machine Learning Engineer

Sandy, UT · On-site

$113K - $150K/yr

Produce clear, quantitative evaluation reports and model recommendations for technical and non ... from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face ...

Superprof

Python Private Tutoring Jobs

Logan, UT · On-site

$43.25 - $59.75/hr

We enable our tutors to set their own rates, work from home, tutor online or in-person and connect with thousands of motivated students through our platform. Mission Superprof is offering you the ...

Superprof

Python Private Tutoring Jobs

West Jordan, UT · On-site

$47 - $64.75/hr

We enable our tutors to set their own rates, work from home, tutor online or in-person and connect with thousands of motivated students through our platform. Mission Superprof is offering you the ...

Superprof

Python Private Tutoring Jobs

Ogden, UT · On-site

$49.25 - $67.75/hr

We enable our tutors to set their own rates, work from home, tutor online or in-person and connect with thousands of motivated students through our platform. Mission Superprof is offering you the ...

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Quant Developer From Home information

What is the difference between Quant Developer From Home vs Quant Developer?

AspectQuant Developer From HomeQuant Developer
Work EnvironmentRemote, home-basedOffice-based or hybrid
Required CredentialsDegree in finance, math, or computer science; coding skillsSimilar credentials, often with additional certifications
Industry UsageFinancial firms, hedge funds, asset managersFinancial firms, trading desks, hedge funds
Search & Comparison IntentRemote work options, flexible rolesOn-site roles, traditional positions

Overall, Quant Developer From Home roles focus on remote work with similar credentials and industry usage as Quant Developer positions. The main difference lies in the work environment, offering flexibility for remote professionals.

What are the most commonly searched types of Quant Developer jobs in Utah? The most popular types of Quant Developer jobs in Utah are:
What are popular job titles related to Quant Developer From Home jobs in Utah? For Quant Developer From Home jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Quant Developer From Home jobs in Utah look for? The top searched job categories for Quant Developer From Home jobs in Utah are:
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Quant Developer From Home jobs near you
Data Scientist - Applied AI Scientist

Data Scientist - Applied AI Scientist

Zions Bank

Midvale, UT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago

Job description

Zions Bancorporation's Enterprise Technology and Operations (ETO) team is transforming what it means to work for a financial institution. With a commitment to technology and innovation, we have been providing our community, clients and colleagues the best experience possible for over 150 years. Help us transform our workforce of the future, today.
Zions Bancorporation's Innovation Lab is seeking a creative and driven Data Scientist (Applied AI Scientist) who bridges the gap between rigorous statistical research and production-grade software engineering. This role is at the heart of our innovation engine. You will not only uncover deep data insights and design advanced AI algorithms, but you will also architect the robust, scalable code required to bring those concepts to life.
As a key member of the Innovation Lab, you will work in a fast-paced, experimental environment, turning ambiguous business challenges into tangible, data-driven prototypes. We need a scientist who treats machine learning as an engineering discipline, someone who understands the "why" behind the math, and the "how" of robust software implementation.
Visa Sponsorship:
This Data Scientist position is currently NOT eligible for employment visa sponsorship (e.g., H-1B visa). This includes, for example, situations where a candidate may have temporary work authorization while enrolled in school or upon graduation (e.g., CPT, OPT) but would need H-1B visa sponsorship within a few years of employment in order to maintain employment eligibility.
Responsibilities:
  • End-to-End AI Design: Design, prototype, and validate ML/AI solutions, translating complex business challenges into mathematical formulations and scalable, production-ready code.
  • Advanced Analytics & EDA: Perform deep exploratory data analysis, statistical testing, and data transformations on diverse datasets (structured and unstructured) to uncover predictive signals and validate hypotheses.
  • Production-Grade Science: Architect and implement modular, extensible, and testable Python codebases for AI experiments. Move beyond Jupyter notebooks by applying clean-code principles (SOLID, DRY) for seamless hand-off to ETO Engineering teams.
  • Agentic & Generative AI: Develop and experiment with applied generative AI and multi-agent architectures using orchestration frameworks (e.g., LangChain, LangGraph), focusing on optimal state management, robust RAG pipelines, and efficient system design.
  • Algorithmic Optimization: Optimize model inference, data processing pipelines, and memory footprints for latency and scalability, applying a strong understanding of data structures and algorithmic complexity.
  • Rigorous Evaluation: Build automated evaluation frameworks to benchmark model performance, mitigate hallucinations, track drift, and ensure algorithmic fairness via A/B testing and statistical rigor.
  • Collaboration & Communication: Act as the technical translator between research-focused ideation and engineering execution. Communicate complex statistical findings and system architectures to both technical and non-technical stakeholders.

Qualifications:
  • The Scientist's Mind: Solid foundation in statistics (Bayesian/Frequentist), linear algebra, hypothesis testing, and the internal mechanics of ML algorithms (e.g., how optimizers work, loss functions, attention mechanisms).
  • The Engineer's Toolbelt: Advanced Python proficiency with a strong focus on Object-Oriented Programming (OOP) and modular design. You must be comfortable writing unit tests (e.g., Pytest) for your data pipelines and models.
  • Framework Depth: Deep expertise with ML libraries (PyTorch, TensorFlow, Scikit-learn, Pandas) and experience implementing custom logic, rather than just calling out-of-the-box models.
  • Generative AI Systems: Hands-on experience with NLP, Large Language Models (LLMs), and Vector Databases, with an understanding of how to evaluate and optimize these systems at scale.
  • Software Maturity: Proficiency with Git/version control, containerization (Docker), API development (FastAPI/Flask), and a working knowledge of how models fit into a CI/CD lifecycle (MLOps).
  • Problem Solving: Exceptional problem-solving skills, comfort with ambiguity, and the ability to own the data science lifecycle from abstract ideation to engineered prototype.
  • Education & Experience: Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field plus 4+ years of hands-on experience in applied machine learning or data science. A Master's degree or PhD is a plus. A combination of education and experience may meet qualifications.

Location:
This position has a hybrid work from home schedule with a minimum of three days per week in the office at the new Zions Technology Center in Midvale, UT.
The Zions Technology Center is a 400,000-square-foot technology campus in Midvale, Utah. Located on the former Sharon Steel Mill superfund site, the sustainably built campus is the company's primary technology and operations center. This modern and environmentally friendly technology center enables Zions to compete for the best technology talent in the state while providing team members with an exceptional work environment with features such as:
  • Electric vehicle charging stations and close proximity to Historic Gardner Village UTA TRAX station.
  • At least 75% of the building is powered by on-site renewable solar energy.
  • Access to outdoor recreation, parks, trails, shareable bikes and locker rooms.
  • Large modern cafe with a healthy and diverse menu.
  • Healthy indoor environment with ample natural light and fresh air.
  • LEED-certified sustainable building that features include the use of low VOC-emitting construction materials.

Benefits:
  • Medical, Dental and Vision Insurance - START DAY ONE!
  • Life and Disability Insurance, Paid Parental Leave and Adoption Assistance
  • Health Savings (HSA), Flexible Spending (FSA) and dependent care accounts
  • Paid Training, Paid Time Off (PTO) and 11 Paid Federal Holidays
  • 401(k) plan with company match, Profit Sharing, competitive compensation in line with work experience
  • Mental health benefits including coaching and therapy sessions
  • Tuition Reimbursement for qualifying employees
  • Employee Ambassador preferred banking products

#dice
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Zions Bank logo

About Zions Bank

Sourced by ZipRecruiter

Zions Bank recognizes that its success comes from the dedication, experience and talents of its diverse employee base. As we usher in the next generation of banking, we're committed to being the premier employer of choice. We're proud to have ranked among American Banker magazine's "Best Banks to Work For" almost every year since 2013, as Best Employer from Utah's Best of State, among the Best Places to Work in Idaho, and "among the Salt Lake Tribune's Top Workplaces. Make the leap into a new era of banking. Let us transform your career.

Industry

Commercial banking

Company size

1,001 - 5,000 Employees

Headquarters location

Salt Lake City, UT, US

Year founded

1873

Social media

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