Jobs in United States

Risk And Monitoring Analyst in United States

853 active opportunities · Updated October 2026

Explore current risk and monitoring analyst jobs across United States. Filter by work mode, employment type, experience, department, date posted and distance.

B
📍 Ridley Park, United States
✓ High-confidence listingCompany trend +515.8%
Quick readStrong listing-quality and freshness signals

Procurement Analyst (Procurement Analyst-General) Company: The Boeing Company Boeing Defense, Space & Security (BDS) has an exciting opportunity for an Experienced Procurement Analyst (Level 3) to join our dynamic Chinook team in Ridley Park, Pennsylvania . Position Responsibilities: Defines, designs, plans and deploys internal/external projects Develops processes and tools to measure key performance indicators Extracts, analyzes and prepares reports to measure key supplier and internal performance-to-plan Develops, documents and implements processes and systems in support of company goals Supports the development and implementation of strategies Identifies and implements improvements to streamline and automate process flows Distributes, updates and tracks procurement plans for supply chain integration and procurement analysis Assesses and reports compliance to internal/external stakeholders Develops risk mitigation plan This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. Shift: This position is for 1st shift. Basic Qualifications (Required Skills/Experience): More than 5 years of experience using all the following Microsoft Office Applications (Word, Excel and PowerPoint. More than 5 years of experience working with analytics, data and spreadsheets to build presentations and make recommendations Experience supporting deliverables for both internal and external customers. More than 5 years of experience working across multiple business units and interfacing with k

ExcelSupply ChainProcurementRecruitment
N
📍 Santa Clara, United States
✓ High-confidence listingCompany trend -8%
Quick readStrong listing-quality and freshness signals

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are seeking a Senior IT Auditor passionate about SOX and internal examination. The role supports the Senior Manager of IT SOX Compliance to strengthen NVIDIA’s internal control environment over financial reporting (ICFR). It involves collaborating with IT and accounting/finance groups to evaluate and build efficient business and IT controls that mitigate financial reporting risk. What you'll be doing: Plan, scope, and implement the end-to-end SOX 404 lifecycle, including walkthroughs, risk-control matrices, testing, deficiency evaluation, remediation, and reporting. Partner with process owners to assess risks in new and changing business processes,-identify the key IT controls, and build out narrative, flowchart and control description. Drive continuous improvement and automation by seeking opportunities to streamline, standardize, and automate controls, reducing operational friction while maintaining control effectiveness. Provide guidance and training to control owners to promote awareness and understanding of SOX compliance requirements. Serve as the primary point of contact for external auditors, and ensure a seamless, efficient audit process. Coach

Artificial IntelligenceAISapAccounting
O
📍 New York, New York, United States· Full-time· Remote
✓ High-confidence listingCompany trend -82%
Quick readStrong listing-quality and freshness signals

About the team OpenAI’s Forward Deployed Engineering team partners with banks, asset managers, insurers, and private capital firms to deploy production-grade AI systems in high-stakes financial environments. We operate at the intersection of customer delivery and core platform development, embedding deeply with customers to translate frontier model capabilities into reliable, auditable systems that create measurable business impact. Our work turns early deployments into repeatable solution patterns, operating standards, and evaluation practices that scale across regulated financial institutions. About the role We are hiring a Forward Deployed Engineer (FDE) to lead end-to-end deployments of OpenAI’s models inside financial services organizations where correctness, latency, explainability, and control matter. You will work with customers who are experts in investment banking, trading, risk, compliance, underwriting, research, operations, or investment decision-making, translating complex workflows, data constraints, and regulatory requirements into production systems. You will measure success through production adoption, workflow efficiency, risk reduction, revenue impact, and evaluation-driven feedback loops that inform product, model, and GTM strategy. You’ll work closely with Product, Research, GTM, Security, Legal, and GRC to deliver systems that meet enterprise standards for governance, auditability, and operational resilience. You will also play a central role in shaping OpenAI’s Financial Services offering — identifying high-value use cases, defining solution patterns, and building the first repeatable deployments that scale across institutions. Learn more about some of our work with financial institutions . This role is based in New York. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% may be required. In this role, you will Design and ship production AI systems around models, owning integrations,

JavaScriptPythonJavaAWS
O
📍 San Francisco, California, United States· Full-time
✓ High-confidence listingCompany trend -82%
Quick readStrong listing-quality and freshness signals

About the Team OpenAI, in partnership with our capital and technology partners, is building a global network of advanced datacenters to support the most demanding AI workloads. The Industrial Compute team ensures that all datacenter systems are manufactured, delivered, and commissioned to the highest standards of quality, reliability, and performance. We work closely with manufacturing partners, engineering teams, and operations staff to ensure that every component is delivered ready for installation, startup, and long-term service. About the Role We are seeking an experienced Quality Engineer (QE) to drive Product and Site Quality initiatives across OpenAI’s infrastructure ecosystem. In this role, you will establish, implement, and manage a comprehensive, quality-focused program across our global supply chain network, ensuring excellence from design through deployment. You will be responsible for end-to-end quality of finished products, as well as maintaining and elevating manufacturing site quality standards. Working cross-functionally with Design (NPI) and Engineering teams, you will help achieve First Pass Yield (FPY), quality, and reliability targets. This includes leading site and fixture validation efforts, driving yield improvement initiatives (Yield Bridge, CPI), and implementing robust corrective and preventive actions (CAPA) to resolve issues at their root cause. In addition, you will play a key role in supplier quality management, assessing and qualifying new vendors, overseeing ongoing supplier performance, and ensuring readiness for future business awards. You will lead vendor audits, monitor key performance metrics, and coordinate corrective actions to ensure predictable delivery schedules, reduced operational risk, and high system reliability. By partnering closely with external suppliers and internal Engineering and Operations stakeholders, you will help ensure OpenAI’s datacenter infrastructure is delivered on time, meets the highest quality standa

AWSRestAIGo
V
📍 United States· Full-time· Remote
✓ High-confidence listingCompany trend -90%
Quick readStrong listing-quality and freshness signals

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. This is not a back-office compliance role and it is not a generic sales-engineering role. You will operate as a named member of deal teams under our pod model: paired with Strategic and Enterprise Account Executives, embedded in their weekly cadences, engaged from first discovery through POC, onsite, close, and expansion. You will be the practitioner in the room that a buyer's CISO or GRC lead trusts — and the internal expert our AEs, SEs, and marketing team build around. What you’ll do as a Subject Matter Expert at Vanta: Serve as the dedicated GRC SME for a book of Strategic/Enterprise Account Executives: join discovery and qualification calls at the earliest deal stages, scope compliance programs against Vanta's platform, and support demos, POCs, workshops, and customer onsites across Compliance, Third-Party Risk Management, Risk Management, and Trust/Questionnaire Automation. Advise prospects on program architecture: multi-framework strategy, shared controls, business-unit and workspace scoping, custom frameworks, and audit sequencing. Answer field questions through our SME channels at customer-forwardable quality — including reviewing and validating AI-agent-generated answers before they reach customers. Our team runs AI-first: you'll use agents daily, act as the quality gate on their output, and (ideally) build tooling of your own. Design and deliver enablement: live sessions for GTM teams, bootcamp scenarios and mock-customer roleplay, async curriculum modules, and review of GRC marketing and SEO content. Own monthly alignment cadences with sales front-line managers; feed structured product feedback to our Product and PM

RestAIGoRust
V
📍 United States· Full-time· Remote
✓ High-confidence listingCompany trend -90%
Quick readStrong listing-quality and freshness signals

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. This is not a back-office compliance role and it is not a generic sales-engineering role. You will operate as a named member of deal teams under our pod model: paired with Strategic and Enterprise Account Executives, embedded in their weekly cadences, engaged from first discovery through POC, onsite, close, and expansion. You will be the practitioner in the room that a buyer's CISO or GRC lead trusts — and the internal expert our AEs, SEs, and marketing team build around. What you’ll do as a Subject Matter Expert, GTM at Vanta: Serve as the dedicated GRC SME for a book of Strategic/Enterprise Account Executives: join discovery and qualification calls at the earliest deal stages, scope compliance programs against Vanta's platform, and support demos, POCs, workshops, and customer onsites across Compliance, Third-Party Risk Management, Risk Management, and Trust/Questionnaire Automation. Advise prospects on program architecture: multi-framework strategy, shared controls, business-unit and workspace scoping, custom frameworks, and audit sequencing. Answer field questions through our SME channels at customer-forwardable quality — including reviewing and validating AI-agent-generated answers before they reach customers. Our team runs AI-first: you'll use agents daily, act as the quality gate on their output, and (ideally) build tooling of your own. Design and deliver enablement: live sessions for GTM teams, bootcamp scenarios and mock-customer roleplay, async curriculum modules, and review of GRC marketing and SEO content. Own monthly alignment cadences with sales front-line managers; feed structured product feedback to our Product a

RestAIGoRust
D
📍 Boston, Massachusetts, United States· Full-time
✓ High-confidence listingCompany trend -85.2%
Quick readStrong listing-quality and freshness signals

Senior Security Engineer, Vulnerability Management Here at Datadog, we think about vulnerability management a little differently. We embrace open source software, recognize our role in the software supply chain, and see attackers weaponizing vulnerabilities faster than ever. We are looking for a Senior Security Engineer who can combine vulnerability-management judgment with hands-on engineering to help us scale and improve our vulnerability lifecycle across Datadog’s multi-cloud products and services. In this role, you will turn ambiguous security problems into clear solutions, and work with engineering teams to address root causes and develop technical controls that reduce vulnerabilities earlier in the SDLC. You’ll use AI and automation to help scale the overall vulnerability lifecycle across Datadog. You will use data and sound technical judgment to prioritize risk, and partner with security, product, platform, and compliance teams to bring scalable solutions into practice. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do Work across the vulnerability lifecycle from detection and impact assessment through risk-based prioritization, remediation, and verification. Use AI and automation to build tools, services, and workflows that make security ideas concrete, validate them quickly, and create alignment for scalable implementation. Reduce engineering toil through a “PRs, not tickets” approach, using automation to enrich findings, identify ownership, recommend or deliver fixes, and track outcomes. Analyze recurring vulnerabilities and remediation failures to identify root causes and opportunities to prevent issues earlier in the SDLC. Partner with SDLC Security, Product Security, platform teams, and engineering teams to balance technical constraints, busin

PythonJavaAIGo
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📍 San Francisco, California, United States· Full-time· Remote
✓ High-confidence listingCompany trend -82%
Quick readStrong listing-quality and freshness signals

About the Team The Safety Systems org is responsible for various safety work to ensure our best models can be safely deployed to the real world to benefit the society and is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency. The Safety Engineering team builds the platforms and tools that make OpenAI’s models safe to use in the real world. We partner closely with researchers, product teams, and policy to turn safety ideas into reliable, scalable systems: measuring risk, enforcing safeguards, and continuously improving how models behave in production. Our work sits at the intersection of product engineering, data, and AI, and directly shapes how millions of people experience OpenAI’s technology. About the Role We’re looking for a self-starter engineer who loves building products in an iterative, fast-moving environment—especially internal tools that unlock real-world impact. In this role, you’ll build full-stack tooling for our Safety Systems teams that directly improves the safety and reliability of OpenAI’s models, including in sensitive areas like mental health and other vulnerable-user protections. Your work will increase the team’s velocity in identifying and fixing safety issues and help tighten the feedback loop between policy, data, and the model training cycle. In this role, you will: Own the end-to-end development of internal tools that help improve the safety of OpenAI’s models (with a focus on areas like mental health and other vulnerable-user protections) Partner closely with Safety Systems researchers, engineers, and model policy creators to understand workflows, pain points, and requirements—and translate them into durable product solutions Build full-stack experiences to support core model policy workflows, such as labeling and inspecting data, analyzing and reviewing failure cases, and surfacing insights for iteration Optimize internal applications f

JavaScriptPythonJavaReact
V
📍 United States· Full-time· Remote
✓ High-confidence listingCompany trend -90%
Quick readStrong listing-quality and freshness signals

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. Our Software Engineers deliver high-value products for our customers, and infrastructure that enables our business to scale. Vanta’s team and technology surface are growing quickly, and it’s essential that we invest in the right abstractions and systems to enable us to scale with our business. As a Software Engineer, you’ll be responsible for setting technical direction to enable our product and infrastructure to scale with our business, and driving complex projects across our technical stack.. Your past experience will be leveraged to enable and accelerate Vanta’s growth. Our Senior Software Engineers lead and mentor engineers, delivering high-value products for our customers and infrastructure that enables our business to scale. Our product integrates deeply with the services that present security risk to a company, pulls and analyzes data from those sources, and surfaces potential security threats to our customers in real time with guidance to remediate them. Our business has found incredible product-market fit and has monetized effectively since the day we signed our first customer. We’re growing at a blistering pace, which presents career-defining opportunities for engineers to accelerate their growth and to contribute to a rapidly-scaling company. As a Software Engineer on the Expansion Team, you’ll play a central role in shaping Vanta’s self-serve and product-led growth motion. Instead of working horizontally across compliance workflows, this team focuses on the full post-activation lifecycle—driving retention, expansion, and revenue automation across the product. You’ll build the core systems that power Vanta’s purchasi

TypeScriptReactNode.jsRest
O
📍 San Francisco, California, United States· Full-time
✓ High-confidence listingCompany trend -82%
Quick readStrong listing-quality and freshness signals

About the Team At OpenAI, Trust & Safety Operations is central to protecting OpenAI’s platform, customers, and the public from abuse. We partner closely with Product, Engineering, Legal, Policy and Go To Market teams to identify emerging risks, build and mature enforcement systems, and ensure high-integrity operations while delivering a great user experience at scale. We’re building the Monetization Trust & Safety Operations team to ensure OpenAI can grow advertising in a way that is safe, trusted, and sustainable—for users, advertisers, and the business. This team sits at the intersection of operational scale, product risk, and rapid revenue growth, designing systems and operations that enable ads to scale without compromising user trust or safety. It’s critical to us that our Ads product be built in a way that corresponds to our Ads principles , and this team is key to that. About the Role We’re looking for a senior operator with strong analytical instincts to help build and scale Monetization Trust & Safety Operations at OpenAI. In this role, you’ll flex across the team’s highest-priority data and operational needs—from reporting and dashboard insights to budget and capacity planning, project-based analysis, and data automation —while partnering closely with Product, Policy, Engineering, Legal, Go To Market, and Data Science and Data Engineering teams. This role sits at the intersection of strategy, execution, and data: you’ll define ambiguous problems, query and validate data, build decision-support systems, and translate operational signals into clear recommendations and scalable, AI-first solutions. You should be comfortable moving from a high-level question to a rigorous analysis, a useful dashboard, an automated workflow, or a durable operating mechanism. As OpenAI introduces new revenue-generating formats and partnerships, you’ll help the team understand where risks, capacity constraints, quality gaps, and opportunities are emerging. You’ll brin

SQLAWSRestAI
G
📍 United States· Full-time
✓ High-confidence listingCompany trend -100%
Quick readStrong listing-quality and freshness signals

Location Details: United States, Remote At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands. Join our team We are seeking a strategic and transformational leader to oversee GoDaddy's Commerce Support organization. This leader will define and execute the strategy for merchant activation, adoption, retention, and support while leading AI-enabled transformation that drives scalable growth across GoDaddy's Commerce business. The Director will lead teams supporting merchants across onboarding, activation, payment processing, product adoption and attach , issue resolution, and ongoing success. Partnering closely with Product, Engineering, Sales, Risk, and Go-to-Market teams, this role will shape the future of merchant experiences through AI, automation, data-driven decision making, and operational innovation. What you'll get to do... Define & Drive Business Strategy Develop and drive the strategic roadmap for merchant activation, adoption, retention, and growth Establish organizational priorities aligned to business outcomes and customer success Partner with senior leaders across Commerce, Care, Sales, GTM, Risk, Product, and Engineering to influence strategy and execution Evaluate market trends, customer needs, and emerging opportunities to shape future capabilities Determine areas of opportunity and strategy to further growth with merchants across the GoDaddy portfolio (e.g., AAB, email ) , beyond the Commerce suite of products/services Drive AI & Support Transformation Establis

GitAIGoExcel
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📍 San Francisco, California, United States· Full-time
✓ High-confidence listingCompany trend -82%
Quick readStrong listing-quality and freshness signals

About the Team Safety Systems manages the complete lifecycle of safety efforts for OpenAI’s frontier models, ensuring our models are deployed responsibly and have a positive impact on society. Our work spans diverse research and engineering initiatives—from system-level safeguards and model training to evaluation and red-teaming—all aimed at mitigating misuse, misalignment, and maintaining our high bar for safety. We lead OpenAI's commitment to developing and deploying safe Artificial General Intelligence (AGI), fostering a culture of trust, responsibility, and transparency. Our goal is to continuously learn from deployments, distribute AI’s benefits widely, and ensure that powerful tools remain aligned with human values and safety considerations. About the Role We are hiring a Product Manager to focus on risk related to multimodal models. In this role, you will drive initiatives which ensure that OpenAI’s audio, image, and video deployments are safe, impactful, and aligned with user needs and technical innovation. You will clarify strategic priorities, develop safety-focused product roadmaps, and collaborate closely with AI researchers, software engineers, policy experts, and cross-functional partners. This role suits a proactive, technically skilled product manager adept at adversarial thinking and excited to tackle challenging, ambiguous problems through structured analysis and collaborative decision-making. This position is based in San Francisco, CA, with relocation assistance available. In this role, you will: Partner closely with AI research, engineering, data science, policy teams, and other stakeholders to embed safety throughout the development and deployment of multimodal AI models - such as GPT-Live and ChatGPT Images - as well as multimodal capabilities in frontier AI models. Develop comprehensive frameworks for understanding and mitigating deployment safety risks, drawing on data analysis, expert consultation, and adversarial assessments. Define strate

AWSRestAIGo
H
📍 Texas, United States of America, United States
✓ High-confidence listingCompany trend +103.7%

$130K – $175K/yr

Quick readStrong listing-quality and freshness signals

Privacy Program Manager Description - Privacy Program Manager - Products & Services Privacy Job Summary This role is responsible for providing strategic privacy advisory, guidance and program management support to HP's Products & Services organizations to ensure compliance with global privacy, data protection, AI governance, and regulatory requirements. The role partners closely with product, engineering, legal, security, data governance, and business teams to embed privacy-by-design principles throughout the product lifecycle, assess privacy risks, and drive implementation of compliant solutions that enable innovation while protecting customer, employee, and partner data. The role leads privacy initiatives, manages complex cross-functional programs, develops governance processes, and serves as a trusted advisor to stakeholders on privacy requirements impacting products, services, digital platforms, AI/ML solutions, and emerging technologies. Success in this role requires strong program management, risk assessment, stakeholder engagement, and regulatory interpretation skills. Responsibilities Manage and lead privacy programs supporting HP Products & Services teams to ensure compliance with global privacy and data protection regulations, including GDPR, CCPA/CPRA, LGPD, PIPL, and other applicable international requirements. Serve as a trusted privacy advisor for product, service, software, AI/ML, cloud, and digital platform initiatives by providing practical guidance throughout the development lifecycle. Conduct and facilitate Privacy Impact Assessments (PIAs), Data Protection Impact Assessments (DPIAs), AI risk assessments, and related reviews to identify and mitigate privacy risks. Partner with business, engineering, legal, cybersecurity, data governance, and compliance stakeholders to in

AIProject Management
M
📍 San Jose, California, Canada
✓ Quality checkedCompany trend -75%

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Micron is seeking a highly skilled Armed Executive Protection (EP) Agent to provide comprehensive, discreet, and professional protective services to high-profile clients, senior executives, and VIPs. This role is responsible for safeguarding individuals through proactive risk mitigation, secure transportation, and close protection operations across dynamic and evolving environments. The ideal candidate brings a strong foundation in executive protection, situational awareness, and sound decision-making under pressure, with the ability to operate both independently and within a coordinated security team. Responsibilities: Conduct armed close protection and personal security for clients in various environments. Develop and implement threat assessments, route planning, and pre-advance operations. Monitor and secure client environments; to include residences, vehicles, and venues, while maintaining situational awareness. Coordinate real-time with the operations center and liaise with law enforcement/emergency services. Respond promptly to security incidents and emergencies. Maintain confidentiality regarding client details and movements. Minimum Qualifications: Minimum 3–6 years of executive protection experience in armed roles, military, law enforcement, or equivalent. Experience with high-net-worth individuals, C-suite, or in event security settings. Excellent physical

AIRecruitmentHR
M
📍 Boise, ID - Main Site, United States
✓ Quality checkedCompany trend -75%

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a Manufacturing Development Engineering (MDE) Shift Engineer in Wet Etch/CMP/Bond , you will play a critical role in enabling 24/7 process development for next-generation DRAM technologies within the Wet Etch/CMP/Bond Process Areas. This position operates on a 12-hour rotating shift schedule and serves as the primary engineering decision-maker for development activities occurring during off-hours for one of the three listed areas while also supporting the other two areas as needed. You will work closely with Process Development, Process Integration, Equipment Development, Manufacturing, and Shift Operations teams to ensure uninterrupted development execution, increase learning velocity, and support technology roadmap objectives. Unlike traditional manufacturing shift engineering roles, this MDE Shift Engineer operates in a highly dynamic development environment where process conditions, specifications, and experimental flows frequently evolve. This role requires strong engineering judgment to disposition development wafers, make real-time process decisions, troubleshooting process and equipment issues, and appropriately balance execution needs with development objectives. Responsibilities Serve as the primary off-shift engineering decision-maker for development activities, using sound engineering judgment to disposition wafers, release or hold tools, define actions on development targets, respond to process deviations, handle execution risk

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