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Artificial Intelligence Bank Jobs in Utah (NOW HIRING)

UBS

Market Director

Salt Lake City, UT · On-site

And we use artificial intelligence (AI) to work smarter and more efficiently. We also recognize ... Learn more about us: bank-now.ch/jobs-and-careers

UMB Bank

AI Data Architect

Salt Lake City, UT · On-site +1

$83.20K - $178.80K/yr

UMB's Artificial Intelligence (AI) team is responsible for driving automation, data-driven decision ... Deep understanding of AI-driven data applications in banking (fraud detection, personalization ...

Weave

Lead Development Representative

Lehi, UT · On-site

At Weave, we use Artificial Intelligence (AI) tools to help us work more efficiently and create a ... We will never ask you to share bank account information, cash a check from us, or purchase software ...

Weave

Outbound Account Executive

Lehi, UT · On-site

At Weave, we use Artificial Intelligence (AI) tools to help us work more efficiently and create a ... We will never ask you to share bank account information, cash a check from us, or purchase software ...

JPMorganChase

Site Reliability Engineer III - Neovest

Orem, UT · On-site

$49.50 - $65.75/hr

As a Site Reliability Engineer III, you will work within the Corporate and Investment Banking team ... Azure, artificial intelligence, Android, etc.) • Experience in observability such as white and ...

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What are the key skills and qualifications needed to thrive as an Artificial Intelligence (AI) Specialist in a bank, and why are they important?

To thrive as an AI Specialist in a bank, you need expertise in machine learning algorithms, data analysis, programming (such as Python), and a relevant degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, cloud computing platforms, and knowledge of data privacy regulations is typically required. Strong problem-solving abilities, communication skills, and adaptability help you collaborate across technical and non-technical teams. These skills ensure the successful integration of AI solutions that enhance operational efficiency, customer experience, and regulatory compliance in the banking sector.

How does an Artificial Intelligence professional typically collaborate with banking teams to implement AI solutions?

In the banking sector, Artificial Intelligence professionals work closely with cross-functional teams such as data analysts, IT specialists, product managers, and compliance officers. They participate in regular meetings to understand business needs, align AI initiatives with regulatory requirements, and ensure the smooth integration of AI models into existing banking systems. Collaboration often involves translating technical concepts into actionable insights for non-technical stakeholders, conducting model validation sessions, and providing ongoing support as AI solutions are deployed. This teamwork helps ensure the AI tools add tangible value while meeting security and compliance standards.

What is an Artificial Intelligence Bank?

An Artificial Intelligence Bank is a financial institution that heavily incorporates AI technologies into its operations, services, and decision-making processes. These banks use AI to automate customer service, detect fraud, personalize financial products, and manage risk more efficiently. By leveraging AI, they can provide faster, more accurate, and more convenient banking experiences for customers. AI Banks may operate entirely online or as part of traditional banking institutions integrating advanced technologies.
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Asset & Wealth Management - AI Engineer - Associate - Salt Lake City

Asset & Wealth Management - AI Engineer - Associate - Salt Lake City

Goldman Sachs, Inc.

Salt Lake City, UT

Other

Posted yesterday

Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

29th of 141 rated banks

Job description

What We Do

At Goldman Sachs, our Engineers don't just make things, we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage AI alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.

Engineering, which is comprised of our Technology Division and global strategist groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here.

 Who We Look For
Goldman Sachs is seeking an AI Engineer to join our AI Strats team. As an AI Engineer, you will leverage your expertise in quantitative analytics, statistics, artificial intelligence, and software development to architect and implement AI-driven technologies with the goal to enhance revenue generation, capital saving, operational efficiency and foster innovation within the firm.

In this role, you will have the opportunity to collaborate with various teams and divisions on pioneering projects that integrate artificial intelligence with finance. As an AI Engineer, you will tackle the unique challenges associated with embedding intelligence in the asset management. Join us in pushing the boundaries of what is possible at the intersection of finance and artificial intelligence!
 

How You Will Fulfill Your Potential

  • Design, implement, and deploy scalable AI models & agentic workflows to drive commercial outcomes.
  • Lead rigorous experimentation and data-driven analysis to continuously improve AI model effectiveness for business use cases.
  • Collaborate proactively with stakeholders across the Asset Management business to accelerate the delivery of AI driven solutions that drive tangible commercial outcomes.
  • Champion the development, testing, and maintenance of reliable, production-ready software solutions.

Qualifications

  • A Master or Ph.D. degree in Computer Science, Machine Learning, Quantitative Finance, Mathematics, Physics, or equivalent relevant industry experience.
  • Proficiency in Python.
  • Excellent understanding of the AI ecosystem, experience with common open-source software.  
  • Demonstrated curiosity, ownership, and a willingness to work in a collaborative environment.

 ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. 

We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

The Goldman Sachs Group, Inc., 2023. All rights reserved.

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

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About Goldman Sachs

Sourced by ZipRecruiter

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869

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