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Bank Ai Jobs in Indiana (NOW HIRING)

Senior Counsel

Evansville, IN ยท On-site

$200K - $230K/yr

Overview Old National Bank has been serving clients and communities since 1834. With over $70 ... emerging AI and technology regulations. * Prior experience advising on emerging technology ...

... AI, preferably in code first frameworks similar to ADK or on Amexon lex or Google CCAI. Exposure to middleware and microservices. Experience in consumer banking, preferably in retail banking, card ...

... AI, preferably in code first frameworks similar to ADK or on Amexon lex or Google CCAI. Exposure to middleware and microservices. Experience in consumer banking, preferably in retail banking, card ...

GCP Architect

Columbus, IN ยท On-site

$59.25 - $76.25/hr

... Domain Banking, Fraud Detection, Risk Management, AML, KYC, Regulatory Compliance, Data Compliance, Operationalizing AI/ML Models, Cross-Functional Collaboration, Data Science, Risk Analytics ...

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Bank Ai information

What is a Bank AI?

A Bank AI refers to artificial intelligence systems used within the banking industry to automate, optimize, and enhance various banking operations and customer services. These systems can handle tasks such as customer inquiries through chatbots, fraud detection, credit risk assessment, and personalized financial recommendations. By leveraging machine learning and data analytics, Bank AI solutions help banks improve efficiency, reduce operational costs, and enhance customer experiences while maintaining regulatory compliance.

What are the key skills and qualifications needed to thrive as a Bank AI specialist?

To thrive as a Bank AI Specialist, you need a solid background in computer science, machine learning, and data analytics, often supported by a relevant degree or certifications. Familiarity with programming languages such as Python, AI frameworks like TensorFlow or PyTorch, and experience with banking systems and regulatory compliance tools are highly valued. Strong problem-solving abilities, communication skills, and adaptability help professionals translate complex AI concepts into practical banking solutions. These skills are crucial for developing secure, efficient AI-driven systems that enhance customer experience and regulatory compliance in the financial sector.

What are some common challenges faced by professionals working in Bank AI roles, and how can they overcome them?

Professionals working in Bank AI roles often encounter challenges such as managing complex data privacy requirements, ensuring AI models are fair and unbiased, and keeping up with evolving regulations. Collaborating closely with compliance, data engineering, and business teams is essential to address these issues. Staying informed about the latest industry standards and participating in regular training can help AI professionals maintain effective and responsible solutions. Additionally, clear communication with stakeholders is critical to align AI initiatives with organizational goals.

What is the difference between Bank Ai vs Bank Teller?

AspectBank AiBank Teller
Required CredentialsBasic computer skills, possibly some certifications in AI or data analysisHigh school diploma or equivalent, customer service skills
Work EnvironmentOffice setting, working with AI systems and dataBank branch, interacting directly with customers
Employer & Industry UsageFinancial institutions integrating AI for automationTraditional banking environment, customer service roles
Common Search & Comparison IntentUnderstanding roles involving AI in bankingCustomer service and cash handling roles in banks

Bank Ai professionals focus on developing and managing AI systems within banks, often requiring technical skills and data analysis expertise. In contrast, Bank Tellers primarily handle customer transactions and provide in-person banking services. While both roles are within the banking industry, they serve different functions and require different skill sets.

What are popular job titles related to Bank Ai jobs in Indiana?

For Bank Ai jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Bank Ai jobs in Indiana look for?

The top searched job categories for Bank Ai jobs in Indiana are:

What cities in Indiana are hiring for Bank Ai jobs?

Cities in Indiana with the most Bank Ai job openings:

Artificial Intelligence (AI) Data Governance Officer

Northwest-Bank

Fishers, IN โ€ข On-site

$120 - $180/hr

Other

Posted 19 days ago


Job description

IN0534 Fishers, OH0523 Independence Bus Office, OH0713 NW Bancshares HQ, PA0258 Bellevue, PA0736 Administration CenterJob DescriptionThe AI Governance Officer is a senior-level contributor responsible for administering the Bank's enterprise AI governance framework and supporting the oversight of artificial intelligence use cases throughout their lifecycle. The role exercises sound judgment in assessing AI-related risks, facilitating risk-based governance decisions, coordinating cross-functional review processes, and ensuring compliance with internal standards and regulatory expectations. The position plays a critical role in enabling responsible innovation while maintaining transparency, accountability, and effective oversight of AI capabilities deployed across the institution.Essential FunctionsLeads administration of the Bankโ€™s enterprise AI risk governance framework and supporting procedures. Coordinates activities across all business lines and corporate functions.Coordinate intake, assessment, and governance activities for proposed AI use cases. Determine and document the classification of solutions as models, agents, tools, job aids, or other categories defined by policy.Serve coordinator for the AI Working Group, including preparation of agendas, meeting materials, decision logs, and action item tracking.Maintain the enterprise inventory of AI use cases and associated governance records.Assess proposed AI implementations to determine applicable governance requirements and control expectations.Develop management reporting and dashboards related to AI inventory, approvals, issues, and emerging risks. Monitor compliance with AI governance standards and escalate material issues to executive leadership.Promote awareness and understanding of AI governance requirements throughout the institution.Develops and maintains enterprise policies, standards, and procedures governing AI risk.Serve as a senior member of the Model Risk team, exercising sound judgment in evaluating model risk and making decisions on model approvals and issue closures as a delegate of the Chief Model Risk Officer.Participate in the research and evaluation of emerging modeling techniques, including AI/ML, and assess their applicability and risk implications within the institution.Contribute to the development and enhancement of the model risk management framework, including validation methodologies, documentation standards, and governance practices.Review academic and industry research, summarize key insights, and propose practical applications to improve model risk oversight and innovation.Ensure compliance with Northwestโ€™s policies and procedures, as well as applicable federal and state regulations including SR26-2, interagency AI/ML guidance, and the U.S. Treasury Financial Services AI Risk Management Framework.Interprets evolving regulatory expectations relating to artificial intelligence and translates them into practical governance requirements.Serves as the primary coordinator for regulatory examinations, audits, and independent reviews of AI governance.Additional Essential FunctionsEnsure compliance with Northwestโ€™s policies and procedures, and Federal/State regulationsNavigate Microsoft Office Software, computer applications, and software specific to the department in order to maximize technology tools and gain efficiencyWork as part of a teamWork with on-site equipmentWhat You Bring to the TeamParticipate in enterprise initiatives involving emerging technologies and advanced analytics.Own the design, implementation, and enhancement of governance workflows within Archer or similar systems.Recommend customer service enhancementsQUALIFICATIONSTo perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.EducationBachelor's Degree Undergraduate degree in risk management, business, economics, statistics, mathematics, information systems, computer science, law, or related discipline.Master's Degree Master's degree in risk management, business, economics, statistics, mathematics, information systems, computer science, law, or related discipline.Work Experience8 - 12 years Experience in a financial institution or consulting environment, with demonstrated exposure to AI governance And3 - 5 years Experience evaluating or governing AI/ML use cases across the lifecycle, including:pre-implementation assessmentcontrol designpost-deployment monitoringExperience with generative AI, machine learning, or decision-support systems, including understanding of associated risks (e.g., bias, explainability, data dependency, automation risk)Experience supporting or interacting with internal audit, regulators, or independent model review functionsExperience supporting or interacting with internal audit, regulators, or independent model review functionsAdditional Knowledge, Skills and AbilitiesAbility to apply risk-based judgment in ambiguous situations, particularly in evaluating AI use cases where regulatory expectations and governance standards are evolvingAbility to analyze complex AI/ML concepts and communicate risks, limitations, and trade-offs clearly to both technical and non-technical stakeholdersAbility to challenge and influence business and technology stakeholders to ensure appropriate risk identification, control design, and governance outcomesAbility to identify patterns, emerging risks, and systemic issues across multiple AI use cases rather than evaluating them in isolation.Ability to make sound governance decisions in gray areas, including classification (model vs agent vs tool), control requirements, and escalation thresholdsAbility to coordinate cross-functional governance processes and drive clear outcomes across Risk, Technology, Compliance, Legal, and Business teamsAbility to develop and interpret risk metrics, monitoring outputs, and performance indicators for AI systemsLicenses and CertificationsCertified Information Systems Auditor (CISA)Certified in Risk and Information Systems Control (CRISC)Financial Risk Manager (FRM)Certified Third-Party Risk Professional (CTPRP)Relevant AI governance certificationsNorthwest is an equal opportunity employer. We are committed to creating an inclusive environment for all employees. #J-18808-Ljbffr