Participate in securing AI-driven applications and data pipelines * Threat Analysis & Risk Management * Assess potential threats and attack vectors relevant to applications and APIs * Apply threat ...
Participate in securing AI-driven applications and data pipelines * Threat Analysis & Risk Management * Assess potential threats and attack vectors relevant to applications and APIs * Apply threat ...
Balance risk discipline with customer-centric thinking, ensuring controls support both compliance ... Knowledge of data, automation, and AI to improve customer and colleague experience. * Strong ...
Balance risk discipline with customer-centric thinking, ensuring controls support both compliance ... Knowledge of data, automation, and AI to improve customer and colleague experience. * Strong ...
Balance risk discipline with customer-centric thinking, ensuring controls support both compliance ... Knowledge of data, automation, and AI to improve customer and colleague experience. * Strong ...
Balance risk discipline with customer-centric thinking, ensuring controls support both compliance ... Knowledge of data, automation, and AI to improve customer and colleague experience. * Strong ...
Balance risk discipline with customer-centric thinking, ensuring controls support both compliance ... Knowledge of data, automation, and AI to improve customer and colleague experience. * Strong ...
Balance risk discipline with customer-centric thinking, ensuring controls support both compliance ... Knowledge of data, automation, and AI to improve customer and colleague experience. * Strong ...
Virtual Card Product Manager (Commercial Card)
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Partner with internal stakeholders (Sales, Treasury, Risk, Operations, Technology) to deliver ... Strong analytical skills with experience leveraging data and AI to drive decision-making.
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Virtual Card Product Manager (Commercial Card)
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$100/hr
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Architect and deploy Azure Purview for data classification, and insider risk management policies. Lead secure implementation of AI Data Pipelines (RAG, Vector DBs), TDE for SQL workloads, and explore ...
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Architect and deploy Azure Purview for data classification, and insider risk management policies. Lead secure implementation of AI Data Pipelines (RAG, Vector DBs), TDE for SQL workloads, and explore ...
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... risk, and identifying opportunities for expansion. This role balances relationship management ... Salary: 70K - 80K AI & Innovation Mindset We are committed to leveraging emerging technologies to ...
... risk, and identifying opportunities for expansion. This role balances relationship management ... Salary: 70K - 80K AI & Innovation Mindset We are committed to leveraging emerging technologies to ...
... risk, and identifying opportunities for expansion. This role balances relationship management ... Salary: 70K - 80K AI & Innovation Mindset We are committed to leveraging emerging technologies to ...
... risk, and identifying opportunities for expansion. This role balances relationship management ... Salary: 70K - 80K AI & Innovation Mindset We are committed to leveraging emerging technologies to ...
... risk, and identifying opportunities for expansion. This role balances relationship management ... Salary: 70K - 80K AI & Innovation Mindset We are committed to leveraging emerging technologies to ...
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Ai Risk Manager information
What is the difference between Ai Risk Manager vs Data Scientist?
| Aspect | Ai Risk Manager | Data Scientist |
|---|---|---|
| Required Credentials | Typically requires a degree in risk management, AI, or related fields; certifications in AI or risk management are common | Requires a degree in computer science, statistics, or related fields; certifications in data analysis or machine learning are common |
| Work Environment | Works in financial, insurance, or tech industries focusing on AI risk assessment and mitigation | Works across industries analyzing data, building models, and deriving insights |
| Employer & Industry Usage | Used by organizations managing AI deployment risks, especially in regulated sectors | Used by companies developing AI solutions, data-driven products, and analytics teams |
The main difference is that an Ai Risk Manager focuses on identifying and mitigating risks associated with AI systems, often requiring knowledge of risk management and AI ethics. In contrast, a Data Scientist primarily analyzes data and builds models to extract insights, with less emphasis on risk mitigation. Both roles may overlap in AI projects but serve distinct functions within organizations.
Cyber Security Analyst III - App Security & Vulnerability (Remote)
Carolina, RI • On-site, Remote
Full-time
Posted 3 days ago
First Citizens Bank rating
7.6
Based on 103 frontline employees who took The Breakroom Quiz
80th of 142 rated banks
Job description
This is aremote role in NC, AZ, and TX.
We are seeking a highly skilled Cyber Security Analyst with a strong background in application security and vulnerability management. This role focuses on identifying, analyzing, and mitigating security risks across software development pipelines using SAST, DAST, and SCA tools. The ideal candidate combines hands-on technical expertise with knowledge of modern security practices and emerging technologies, including AI/ML.
Responsibilities
Application Security & Code Analysis
- Perform static (SAST), dynamic (DAST), and software composition analysis (SCA) to identify vulnerabilities in applications and third-party components
- Analyze scan results, triage findings, and prioritize remediation efforts based on risk
- Partner with development teams to remediate vulnerabilities and improve secure coding practices
Vulnerability Management
- Conduct regular security assessments and vulnerability scans across applications and environments
- Validate and reproduce vulnerabilities, including false positive elimination
- Track and report vulnerability metrics, risk trends, and remediation progress
Security Tools & Automation
- Configure, deploy, and maintain security scanning tools (e.g., Checkmarx, Veracode, Fortify, Snyk, Burp Suite, OWASP ZAP)
- Automate security testing processes using scripting or APIs
- Improve scanning efficiency and coverage through tuning and optimization
Qualifications
Bachelor's Degree and 6 years of experience in Information Security OR High School Diploma or GED and 10 years of experience in Information Security
Required Qualifications
- Hands-on experience with:
- SAST, DAST, and SCA tools
- Web application security testing (OWASP Top 10, API security)
- Strong understanding of:
- Secure software development lifecycle (SDLC / DevSecOps)
- Common vulnerabilities (e.g., injection, XSS, authentication flaws)
- Proficiency in one or more programming/scripting languages (e.g., Python, Java, JavaScript, Bash)
- Experience interpreting and prioritizing scan results and remediation plans
Preferred Qualifications
- Experience integrating security tools into CI/CD pipelines (e.g., Jenkins, GitHub Actions, Azure DevOps)
- Familiarity of container and cloud security (AWS, Azure, GCP)
- Familiarity with AI/ML concepts and security implications
- Industry certifications such as:
- CEH, Security+, SSCP, GIAC or comparable.
Key Skills
- Strong analytical and problem-solving skills
- Provide risk-based recommendations to stakeholders
- Ability to communicate technical findings to both technical and non-technical stakeholders
- Experience working cross-functionally with development and engineering teams
- Attention to detail with a risk-based security mindset
Nice-to-Have Experience
- API security testing tools (Postman, SoapUI)
- AI-assisted security tooling (e.g., anomaly detection, code analysis assistants)
- Knowledge of regulatory frameworks (NIST, ISO 27001, SOC 2)
- AI/ML & Emerging Technologies
- Leverage AI/ML-based security tools for enhanced detection and analysis
- Assess risks related to AI/ML models (e.g., data poisoning, model inversion, adversarial attacks)
- Participate in securing AI-driven applications and data pipelines
- Threat Analysis & Risk Management
- Assess potential threats and attack vectors relevant to applications and APIs
- Apply threat modeling techniques (e.g., STRIDE) during development lifecycle
Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.
Qualifications:Bachelor's Degree and 6 years of experience in Information Security OR High School Diploma or GED and 10 years of experience in Information Security
Required Qualifications
- Hands-on experience with:
- SAST, DAST, and SCA tools
- Web application security testing (OWASP Top 10, API security)
- Strong understanding of:
- Secure software development lifecycle (SDLC / DevSecOps)
- Common vulnerabilities (e.g., injection, XSS, authentication flaws)
- Proficiency in one or more programming/scripting languages (e.g., Python, Java, JavaScript, Bash)
- Experience interpreting and prioritizing scan results and remediation plans
Preferred Qualifications
- Experience integrating security tools into CI/CD pipelines (e.g., Jenkins, GitHub Actions, Azure DevOps)
- Familiarity of container and cloud security (AWS, Azure, GCP)
- Familiarity with AI/ML concepts and security implications
- Industry certifications such as:
- CEH, Security+, SSCP, GIAC or comparable.
Key Skills
- Strong analytical and problem-solving skills
- Provide risk-based recommendations to stakeholders
- Ability to communicate technical findings to both technical and non-technical stakeholders
- Experience working cross-functionally with development and engineering teams
- Attention to detail with a risk-based security mindset
Nice-to-Have Experience
- API security testing tools (Postman, SoapUI)
- AI-assisted security tooling (e.g., anomaly detection, code analysis assistants)
- Knowledge of regulatory frameworks (NIST, ISO 27001, SOC 2)
- AI/ML & Emerging Technologies
- Leverage AI/ML-based security tools for enhanced detection and analysis
- Assess risks related to AI/ML models (e.g., data poisoning, model inversion, adversarial attacks)
- Participate in securing AI-driven applications and data pipelines
- Threat Analysis & Risk Management
- Assess potential threats and attack vectors relevant to applications and APIs
- Apply threat modeling techniques (e.g., STRIDE) during development lifecycle
Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.
Education:UNAVAILABLEEmployment Type: FULL_TIMEWhat First Citizens Bank employees say
Pay
Benefits
Hours and flexibility
Workplace
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