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Remote Machine Learning Finance Jobs in Ogden, UT

Enova International

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Call Center Sales Representative (Remote)

Salt Lake City, UT · Remote

$17/hr

This role is entirely remote; however, candidates must reside within 100 miles of either Chicago ... financial services through our AI and machine learning-powered ColossusTM platform. We serve non ...

TSMG

AI/ML Data Contributor

Salt Lake City, UT · Remote

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

TSMG

AI/ML Data Contributor

Salt Lake City, UT · Remote

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

Suralink Inc

Sr. Software Engineer

Salt Lake City, UT · Remote

$125K - $165K/yr

Experience with machine learning or generative AI prompt engineering * Caching/NoSQL datastores ... Remote-friendly policy * Medical/vision/dental insurance * Life, short-term disability, and ...

Wsgr

Senior Pricing Manager

Salt Lake City, UT · On-site +1

Utilize financial modeling to evaluate pricing structures and their impact on the firm's bottom ... machine learning to optimize pricing strategies and client value. * Draft and edit highly ...

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All JobsMachine Learning Finance JobsRemote Machine Learning Finance JobsRemote Machine Learning Finance Jobs in Ogden, UT

Remote Machine Learning Finance information

See Ogden, UT salary details

$24.5K

$90.6K

$132.6K

How much do remote machine learning finance jobs pay per year?

As of Aug 23, 2026, the average yearly pay for remote machine learning finance in Ogden, UT is $90,647.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,400.00 and $106,700.00 per year, depending on experience, location, and employer.

What is a remote machine learning finance professional?

A Remote Machine Learning Finance job involves applying machine learning techniques and algorithms to financial data and problems, often from a remote location. Professionals in this field develop models to predict market trends, assess risks, automate trading, or detect fraud using large datasets. Remote roles allow employees to work from anywhere, collaborating with teams virtually and using cloud-based tools to analyze data. These positions typically require strong programming skills, knowledge of finance, and experience with machine learning frameworks.

How do remote machine learning finance professionals typically collaborate with cross-functional teams?

Remote machine learning professionals in finance often work closely with data analysts, financial experts, and software engineers to develop and deploy predictive models. Collaboration is typically facilitated through virtual meetings, shared documentation, and project management tools. Clear communication and regular check-ins are crucial for aligning goals and ensuring that machine learning solutions address real business needs. Many organizations also encourage participation in virtual workshops and code reviews to maintain a strong sense of teamwork despite the remote setting.

What are the key skills and qualifications needed to thrive as a remote machine learning finance professional?

To excel in Remote Machine Learning Finance, strong analytical skills, a solid background in statistics or mathematics, and experience with financial data are essential, often supported by a degree in computer science, finance, or a related field. Familiarity with programming languages like Python or R, experience with machine learning frameworks (such as TensorFlow or Scikit-learn), and knowledge of financial modeling tools are typically required. Excellent problem-solving, communication, and the ability to work independently are standout soft skills in this remote environment. These abilities are crucial for developing effective financial models, interpreting complex data, and collaborating with distributed teams to drive business value.

What job categories do people searching Remote Machine Learning Finance jobs in Ogden, UT look for?

The top searched job categories for Remote Machine Learning Finance jobs in Ogden, UT are:

What cities near Ogden, UT are hiring for Remote Machine Learning Finance jobs?

Cities near Ogden, UT with the most Remote Machine Learning Finance job openings:

Remote Machine Learning Finance jobs near you
Infographic showing various Remote Machine Learning Finance job openings in Ogden, UT as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $90,647 per year, or $43.6 per hour.

Call Center Sales Representative (Remote)

Enova International

Salt Lake City, UT • Remote

$17/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

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Enova International rating

6.8

Company rating: 6.8 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

Job description

Enova International is hiring! We provide a pay rate of $17.00/hr, coupled with a quarterly performance bonus and various other incentive programs. This role is entirely remote; however, candidates must reside within 100 miles of either Chicago, IL or South Jordan, UT.


About Enova:

Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered ColossusTM platform. We serve non-prime consumers and businesses alike, while offering world-class technology and services to traditional banks—in order to create accessible credit for millions.


About the role:

Enova operates multiple consumer lending brands, each featuring distinct offerings and customer criteria. In the role of an Application Support Representative, you will undergo a comprehensive three-week training program to specialize in a specific brand. Following the completion of training, you will handle a significant volume of inbound calls, engaging with potential customers to aid them in their loan application process.


Responsibilities:

  • Effectively manage incoming calls, adeptly assisting customers in navigating the loan application process
  • Educate customers by explaining the distinctive features and advantages of Enova's products and services
  • Initiate proactive outreach to customers as needed, encouraging them to finalize their loan application
  • Uphold exceptional customer service standards through articulate and effective verbal and written communication
  • Keep customer accounts meticulously updated with accurate information


Requirements:

  • Experience in a call center setting is preferred
  • Proficient in phone communication and verbal skills, with a keen ability to actively listen
  • Familiarity with CRM systems and their practices
  • Customer-centric approach with adaptability to various personality types
  • Strong multitasking abilities, adept at setting priorities and managing time effectively


Benefits:

  • Health, dental, and vision insurance including mental health benefits
  • 401(k) matching plus a roth option
  • PTO & paid holidays off
  • Paid parental leave
  • DEI groups (B.L.A.C.K. @ Enova, HOLA @ Enova, Women @ Enova, Pride @ Enova, South Asians @ Enova, APEX @ Enova, and Parents @ Enova)
  • Employee recognition and rewards program
  • Plus so much more!


Shifts available (Central Time):

  • Must be available to work an 8-hour shift between 8:00 AM and 8:00 PM Central Time. Some schedules may require working one weekend day.


Start Date:

  • 9/8/2026

Company Description

Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered ColossusTMplatform. We serve non-prime consumers and businesses alike, while offering world-class technology and services to traditional banks—in order to create accessible credit for millions.

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