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Machine Learning Finance Jobs in Iowa (NOW HIRING)

Lead Data Engineer

Cedar Rapids, IA ยท On-site

$112K - $134K/yr

Experience with advanced analytics and machine learning concepts and technology implementations ... Through a mix of financial grants and the volunteer efforts of our employees, the foundation ...

Defines and advances the adoption of AI and machine learning capabilities within QA, including ... Vendor & Financial Management * Oversee QA vendor strategy, including staff augmentation and ...

AI Software Engineer II

Bettendorf, IA ยท On-site +1

$87K - $119K/yr

Our solutions help dealerships streamline their operations, enhance their finance and insurance (F ... machine learning, and cloud-based AI services into customer-facing applications. You'll partner ...

Upload, organize and manage learning content under the guidance of the Training Team Lead ... For your security, do not reply, click links, open attachments, share personal or financial ...

Upload, organize and manage learning content under the guidance of the Training Team Lead ... For your security, do not reply, click links, open attachments, share personal or financial ...

Are you ready to control your financial future with unlimited upside earnings potential? * Do you ... We are a global leader in human resources technology, offering the latest AI and machine learning ...

Data Scientist 1

Des Moines, IA ยท On-site +1

$81K - $124K/yr

Researching and implementing techniques and tools in machine learning and artificial intelligence ... What-if, Diagnostic, financial models) to answer business questions. Preference will be given to ...

Experience in Artificial Intelligence and/or Machine Learning enabled systems with employee and ... They are accountable for execution of all applicable risk programs (Credit, Market, Financial ...

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Showing results 1-20

Machine Learning Finance information

See Iowa salary details

$23.5K

$87K

$127.3K

How much do machine learning finance jobs pay per year?

As of Jul 4, 2026, the average yearly pay for machine learning finance in Iowa is $87,006.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,400.00 and $102,400.00 per year, depending on experience, location, and employer.

What job makes $1,000,000 a year?

In the field of machine learning finance, highly senior roles such as Chief Data Officer or Quantitative Hedge Fund Manager can earn $1,000,000 or more annually, especially with bonuses and profit sharing. These positions typically require advanced degrees, extensive experience, and expertise in algorithms, financial modeling, and programming tools like Python or R.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence or machine learning within finance or technology sectors, often involving advanced skills in data analysis, programming, and model development. Such roles may include AI research scientists, machine learning engineers, or senior data scientists, and usually require extensive experience, specialized certifications, and proficiency with tools like Python, TensorFlow, or cloud platforms.

Can machine learning be used in finance?

Machine learning is widely used in finance for tasks such as risk assessment, fraud detection, algorithmic trading, and portfolio management. Machine learning finance professionals develop models using programming languages like Python and tools such as TensorFlow or scikit-learn to analyze large datasets and improve decision-making processes.

What are the key skills and qualifications needed to thrive in the Machine Learning Finance position, and why are they important?

To excel in Machine Learning Finance, you need strong quantitative skills, proficiency in programming (typically Python or R), and a solid background in both finance and machine learning, often supported by a relevant degree such as in computer science, statistics, mathematics, or finance. Familiarity with machine learning libraries (like TensorFlow, scikit-learn), financial modeling tools, and certifications such as CFA or FRM can be highly beneficial. Excellent problem-solving abilities, communication skills, and a collaborative attitude help professionals translate complex data into practical financial insights and work effectively with both technical and non-technical stakeholders. These competencies enable you to create robust predictive models, drive innovation in financial analysis, and ensure sound decision-making in dynamic industry settings.

What is the salary of ML in finance?

Machine Learning professionals in finance typically earn between $80,000 and $150,000 annually, depending on experience, location, and specific role. Senior roles or those with advanced skills in data analysis, programming, and financial modeling can earn higher salaries, often exceeding $200,000 with bonuses and incentives.

What are some typical challenges faced by professionals in Machine Learning Finance roles?

Professionals in Machine Learning Finance often encounter challenges such as working with noisy or incomplete financial data, keeping up with rapidly evolving algorithms, and ensuring model compliance with industry regulations. They may also need to bridge the gap between technical model development and practical business needs, communicating complex findings to non-technical teams. These roles typically involve close collaboration with traders, financial analysts, and risk managers to ensure that machine learning solutions are both accurate and actionable. Facing these challenges can be rewarding, offering significant opportunities for skill development and career advancement in a data-driven financial landscape.

What is a Machine Learning Finance job?

A Machine Learning Finance job involves applying machine learning techniques to financial problems such as risk assessment, algorithmic trading, fraud detection, and portfolio optimization. Professionals in this field build predictive models, analyze large datasets, and automate decision-making processes to improve financial performance. They typically work with tools like Python, TensorFlow, and financial datasets to develop AI-driven solutions. These roles require expertise in machine learning, statistics, and financial markets, often blending data science with quantitative finance.

What are the most commonly searched types of Machine Learning Finance jobs in Iowa? The most popular types of Machine Learning Finance jobs in Iowa are:
What are popular job titles related to Machine Learning Finance jobs in Iowa? For Machine Learning Finance jobs in Iowa, the most frequently searched job titles are:
What job categories do people searching Machine Learning Finance jobs in Iowa look for? The top searched job categories for Machine Learning Finance jobs in Iowa are:
Infographic showing various Machine Learning Finance job openings in Iowa as of June 2026, with employment types broken down into 93% Full Time, 6% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $87,006 per year, or $41.8 per hour.

Lead Data Engineer

Aegon

Cedar Rapids, IA โ€ข On-site

$112K - $134K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Job description

Job Family

IT Operations

About Us

At Transamerica, hard work, innovative thinking, and personal accountability are qualities we honor and reward. We understand the potential of leveraging the talents of a diverse workforce. We embrace an environment where employees enjoy a balance between their careers, families, communities, and personal interests.

Ultimately, we appreciate the uniqueness of a company where talented professionals work collaboratively in a positive environment - one focused on helping people look forward and plan for the best life possible while providing tools and solutions that make it easier to get there.

Who We Are

We believe everyone deserves to live their best life. More than a century ago, we were among the first financial services companies in America to serve everyday people from all walks of life.

Today, we're part of an international holding company, with millions of customers and thousands of employees worldwide. Our insurance, retirement, and investment solutions help people make the most of what's important to them.

We're empowered by a vast agent network covering North America, with diversity to match. Together with our nonprofit research institute and foundation, we tune in, step up, and are a force for good - for our customers and the communities where we live, work, and play. United in our purpose, we help people create the financial freedom to live life on their terms.

What We Do

Transamerica is organized into three distinct businesses. These include 1) World Financial Group, including Transamerica Financial Advisors, 2) Protection Solutions and Savings & Investments, comprised of life insurance, annuities, employee benefits, retirement plans, and Transamerica Investment Solutions, and 3) Financial Assets, which includes legacy blocks of long term care, universal life, and variable and fixed annuities. These are supported by Transamerica Corporate, which includes Finance, People and Places, General Counsel, Risk, Internal Audit, Strategy and Development, and Corporate Affairs, which covers Communications, Brand, and Government and Policy Affairs.

Transamerica employs nearly 7,000 people. It's part of Aegon, an integrated, diversified, international financial services group serving approximately 23.9 million customers worldwide.* For more information, visit transamerica.com.

Job Description Summary

The Lead Data Engineer is responsible for the design, architecture and support of systems, services and applications required for the collection, storage, processing, and analysis of all forms of data to enable data-driven decisions and outcomes across the enterprise.

Job Description

Responsibilities

  • Work collaboratively with other engineers, data scientists, analytics teams, and business product owners in an agile environment:
  • Architect, build, and support the operation of Cloud and On-Premises enterprise data infrastructure and tools.
  • Design robust, reusable and scalable data driven solutions and data pipeline frameworks to automate the ingestion, processing and delivery of both structured and unstructured batch and real-time streaming data.
  • Lead the development of data APIs and data delivery services to support critical operational processes, analytical models and machine learning applications.
  • Assist the selection and integration of data related tools, frameworks and applications required to expand platform capabilities.
  • Understand and implement best practices in management of enterprise data, including master data, reference data, metadata, data quality and lineage.


Qualifications

  • Bachelor's degree in computer science, math, engineering, or relevant technical field
  • Five years of collective experience in the application of data engineering, data analytics, data warehousing, business intelligence, database administration and data integration concepts and methodologies
  • Four years of experience architecting, building, and administering big data and real-time streaming analytics architectures in on-premises and cloud environments
  • Three years of experience architecting, building and administering large-scale distributed applications
  • Three years of experience with Linux operations and development, including basic commands and shell scripting
  • Three years of experience executing DevOps methodologies and continuous integration/continuous delivery
  • Demonstrated skills in delivery of high-quality technical project solutions
  • Expertise in SQL for data profiling, analysis, and extraction
  • Familiarity with data science techniques and frameworks
  • Creative thinker with strong analytical skills
  • Results oriented with a strong customer focus
  • Ability to work in a team environment
  • Strong technical communication skills
  • Ability to prioritize work to meet tight deadlines
  • Ability to learn and keep pace with the latest technology advances and quickly grasp new technologies to support the environment and contribute to project deliverables


Preferred Qualifications

  • Master's degree in a technical field (e.g. computer science, math, engineering)
  • Understanding of big data and real time streaming analytics processing architecture and ecosystems
  • Experience with data warehousing architecture and implementation, including hands on experience with source to target mappings and developing ETL code
  • Experience with advanced analytics and machine learning concepts and technology implementations
  • Experience with data analysis and using data visualization tools to describe data
  • Relevant technology or platform certification (AWS, Microsoft, etc.)
  • Software development experience in relevant programming languages (e.g. Java, Python, Scala, Node.js)
  • Experience with Snowflake


Working Conditions

  • Hybrid-Office Environment (Tuesdays, Wednesdays, Thursdays)
  • Occasional Travel <10%


This job description is not a contract of employment nor for any specific job responsibilities. The Company may change, add to, remove, or revoke the terms of this job description at its discretion. Managers may assign other duties and responsibilities as needed. In the event an employee or applicant requests or requires an accommodation to perform job functions, the applicable HR Business Partner should be contacted to evaluate the accommodation request.

Compensation

The Salary for this position generally ranges between$107,000 - $135,000 annually.Please note that the salary range is a good faith estimate for this position and actual starting pay is determined by several factors includingqualifications, experience, geography, work location designation (in-office, hybrid, remote) and operational needs. Salary may vary above and below the stated amounts, as permitted by applicable law.

Additionally, this position is typically eligible for an Annual Bonus based on the Company Bonus Plan/Individual Performance and is at the Company's discretion.

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

This is a hybrid position requiring three days in office per week in one of our hub locations (Philadelphia, PA; Cedar Rapids, IA; Denver, CO). Relocation assistance will not be provided for this position.

What We Offer

For eligible employees, we offer a comprehensive benefits package designed to support both the personal and financial well-being of our employees.

Compensation Benefits

  • Competitive Pay

  • Bonus for Eligible Employees

Benefits Package

  • Pension Plan

  • 401k Match

  • Employee Stock Purchase Plan

  • Tuition Reimbursement

  • Disability Insurance

  • Medical Insurance

  • Dental Insurance

  • Vision Insurance

  • Employee Discounts

  • Career Training & Development Opportunities

Health and Work/Life Balance Benefits

  • Paid Time Off starting at 160 hours annually for employees in their first year of service.

  • Ten (10) paid holidays per year (typically mirroring the New York Stock Exchange (NYSE) holidays).

  • Be Well Company holistic wellness program, which includes Wellness Coaching and Reward Dollars

  • Parental Leave - fifteen (15) days of paid parental leave per calendar year to eligible employees with at least one year of service at the time of birth, placement of an adopted child, or placement of a foster care child.

  • Adoption Assistance

  • Employee Assistance Program

  • Back-Up Care Program

  • PTO for Volunteer Hours

  • Employee Matching Gifts Program

  • Employee Resource Groups

  • Inclusion and Diversity Programs

  • Employee Recognition Program

  • Referral Bonus Programs

Inclusion & Diversity

We believe our commitment to diversity and inclusion creates a work environment filled with exceptional individuals. We're thrilled to have been recognized for our efforts through the Human Rights Campaign Corporate Equality Index, Dave Thomas Adoption Friendly Advocate, and several Seramount lists, including the Inclusion Index, 100 Best Companies for Working Parents, Best Companies for Dads, and Top 75 Companies for Executive Women.

To foster a culture of inclusivity throughout our workforce, workplace, and marketplace, Transamerica offers a wide range of diversity and inclusion programs. This includes our company-sponsored, employee-driven Employee Resource Groups (ERGs), which are formed around a shared interest or a common characteristic of diversity. ERGs are open to all employees. They provide a supportive environment to help us better appreciate our similarities and differences and understand how they benefit us all.

Giving Back

We believe our responsibilities extend beyond our corporate walls. That's why we created the Aegon Transamerica Foundation in 1994. Through a mix of financial grants and the volunteer efforts of our employees, the foundation supports nonprofit organizations focused on the things that matter most to our people in the communities where we live and work.

Transamerica's Parent Company

Aegon acquired the Transamerica business in 1999. Since its start in 1844, Aegon has grown into an international company serving more than 23.9 million people across the globe.* It offers investment, protection, and retirement solutions, always with a clear purpose: Helping people live their best lives. As a leading global investor and employer, the company seeks to have a positive impact by addressing critical environmental and societal issues, with a focus on climate change and inclusion and diversity.

* As of December 31, 2023