Financial Audit And Assurance in United States

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. We're looking for Staff Software Engineers to help build the next generation of CLEAR's identity platform. Beyond verifying identity, we're creating a secure, networked digital identity that enables seamless experiences across travel, enterprise, healthcare, financial services, and beyond. As a Staff Software Engineer, you'll own complex technical problems from design through deployment, partnering closely with Product, Design, Security, and Operations to deliver reliable, scalable solutions. We're looking for engineers with a strong builder mindset who thrive in ambiguity, take ownership, and enjoy turning ideas into production systems. Level and team matching (open roles across the three pillars that make up Technology at CLEAR: Core Identity, CLEAR1 , and CLEAR Travel ) will occur towards the end of our interview process. Tech stack overview: Java / Python / React / Typescript What Sets Staff Engineers Apart Staff Engineers at CLEAR operate beyond a single team. They influence technical strategy across multiple products, shape architectural direction, identify opportunities before they become problems, and drive alignment across organizations. They are trusted partners to Engineering and Product leadership, consistently delivering high-impact technical solutions while developing the engineers around them and raising the quality of execution across the organization. What you’ll do: Design, build, test, and deploy scalable full-stack applications that power CLEAR's identity platform. Own projects end-to-end from technical discovery and

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. We're looking for Software Engineers to help build the next generation of CLEAR's identity platform. Beyond verifying identity, we're creating a secure, networked digital identity that enables seamless experiences across travel, enterprise, healthcare, financial services, and beyond. As a Software Engineer, you'll own complex technical problems from design through deployment, partnering closely with Product, Design, Security, and Operations to deliver reliable, scalable solutions. We're looking for engineers with a strong builder mindset who thrive in ambiguity, take ownership, and enjoy turning ideas into production systems. Level and team matching (open roles across the three pillars that make up Technology at CLEAR: Core Identity, CLEAR1 , and CLEAR Travel ) will occur towards the end of our interview process. Tech stack overview: Python / Java / React / Typescript What you’ll do: Design, build, test, and deploy scalable applications that power CLEAR's identity platform. Own projects end-to-end from technical discovery and architecture through implementation, rollout, and operational support. Partner closely with Product, Design, Data, Security, and Operations to translate business problems into simple, scalable technical solutions. Drive engineering excellence by improving system reliability, performance, testing, observability, and developer experience. Contribute to architectural decisions and continuously improve the scalability, security, and maintainability of our platform. Partner with teammates through thoughtful code reviews

Overview: Guidepoint’s Business Development teams are passionate about expanding our reach with both new and existing clients. We support all Guidepoint’s service offerings, helping to build relationships and communicate how Guidepoint helps clients stay informed and make better business decisions. Our teams are motivated to provide custom offerings designed to help every potential client make the most of their partnership with Guidepoint. The Business Development team is looking for a Sales Development Representative/Business Development Intern to further develop our business with corporations, financial institutions, and consulting firms within the region . The Associate will be responsible for assisting in building a pipeline of prospects across a variety of industries. This is an exciting opportunity for a self-starter who wants to learn more about financial services, consulting, or other industries and make a significant contribution to our business model. This is a hybrid role based in our New York City office starting June 7, 2027. The application deadline for this role is November 1, 2026. What You'll Do: Help create and develop a robust pipeline of qualified prospects Research target industries, sub-sectors and companies in order to understand their information/ research needs and pain-points Map companies in order to identify target groups and job functions Prospect targets via email and telephone and schedule meetings Generate engaging content for meetings with prospects and effectively articulate our value proposition Develop a strong knowledge and understanding of the competitive landscape Provide client/ prospect feedback to sales and management What You Have: Pursuing a Bachelors degree, graduating in 2028 Mature communicator capable of handling high-profile clients Intellectual curiosity and desire to learn Demonstrated ability to work both individually and as a part of a team Ability to think creatively and prioriti

About the Company Sigmoid enables business transformation using data and analytics, leveraging real-time insights to make accurate and fast business decisions, by building modern data architectures using cloud and open source. Some of the world’s largest data producers engage with Sigmoid to solve complex business problems. Sigmoid brings deep expertise in data engineering, predictive analytics, artificial intelligence, and DataOps. Sigmoid has been recognized as one of the fastest growing technology companies in North America, 2021, by Financial Times, Inc. 5000, and Deloitte Technology Fast 500. Job Description As an Account leader you will be responsible for ensuring customer success and growth in Fortune 1000 companies working with Sigmoid. A maverick self-starter, you understand brand building, how to sell innovation, drive deals forward and compress decision cycles. You will play a key role in driving our business to great heights, and drive our revenue growth in parallel. We're looking for a passionate farming growth hacker with a track record of proven success in Data Solutions selling in Fortune 1000. Prior experience in Analytics, Data Science & Big Data will be an added advantage. Job Responsibilities As an Account leader, you will have the opportunity to work on major business initiatives that contribute to Sigmoid’s growth and productivity objectives. In this role, you will have the responsibility of managing multiple account management strategy implementation assignments supporting the Account Management function and will work directly with the business, IT and strategy teams in catering to the end-to-end business needs. Essential Responsibilities Manage account management strategy implementation and validation. Effective communication and presentation ability. Ability to work as in a team as well as contributing as an individual. Lead and provide a road map for account. Able to establish priorities and coordinate work. Evaluate, scrutinize and str

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Plaid's Recruiting Operations team exists to build and sustain the infrastructure, programs, and data that enable our recruiting organization to hire effectively, efficiently, and equitably. We drive operational strategy, systems implementation, data integrity, and process consistency across the full hiring lifecycle. In 2026, we are focused on scaling our coordination function, fully operationalizing Ashby as our ATS, and launching programs that raise the bar for recruiting effectiveness across Plaid. We are a lean, high-impact team, and we are growing. As the Recruiting Operations Coordinator at Plaid, you will sit at the intersection of recruiting coordination and operational program support. You will own white-glove scheduling for high-touch hiring pipelines, serve as the on-site RC presence in our San Francisco office, and act as a core member of the Recruiting Operations team -- contributing to the systems, tools, and processes that keep the function running. This is an entry-level program management role that flexes between recruiting coordination and operational program support -- the balance will shift based on hiring volume and team needs. You will be one of the first pe

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Our Payments Risk team builds and operates decisioning capabilities across Signal and Guarantee. We help customers tune thresholds and rules so they can approve more good transactions while reducing returns. For Guarantee, this work also protects the economics of the risk Plaid underwrites. You will be the technical, customer-facing Payment Risk Consulting Lead for Signal and Guarantee. You will interpret model outputs, diagnose customer performance, and turn that analysis into concrete threshold and rules recommendations. You will own proofs of concept and retros, improve existing integrations, and help the team identify patterns that can be scaled through better processes and product capabilities. Responsibilities Own customer proofs of concept and retros from analysis through recommendations and follow-through. Proactively optimize Signal customers, prioritizing accounts with high return rates. Read model outputs and diagnose the drivers of authorization and return-rate performance. Recommend threshold and rules changes that align with each customer's risk and authorization goals. Help Guarantee customers tune thresholds to achieve target authorization rates while protecting lo

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. About the team The Privacy & Regulatory Counsel will join Plaid’s Privacy & Regulatory Legal team, which supports Plaid in building infrastructure and products responsibly by translating complex regulatory expectations into concrete guidance. We are a lean, highly collaborative team that includes Privacy and Regulatory counseling. Role Description As Privacy & Regulatory Counsel at Plaid, you will partner with cross-functional teams to analyze complex legal and regulatory issues, provide practical guidance, and support business initiatives in compliance with applicable laws and regulations. This role is ideal for an ambitious attorney who exhibits a growth mindset and eagerness to learn. We value strong communicators who can empathize with business partners, deliver solutions-oriented advice, and foster trust with colleagues at all levels. Responsibilities Monitor and analyze new or changing laws, regulations, supervisory guidance, enforcement activity, and industry developments - and translate them into concise and practical guidance. Answer questions about regulatory compliance for Product, Governance, People, and other cross functional teams. Maintain Plaid’s regula

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. At Plaid, Product Marketing plays a pivotal role across the entire product lifecycle—from shaping product strategies and defining target audiences, to ensuring successful product launches and market adoption. We collaborate closely with Product, Sales, and Marketing teams, creating compelling narratives, influencing product direction based on customer feedback, and driving go-to-market strategies that align with our business goals and customer needs. As a Product Marketing Manager for Payments, you’ll help bring Plaid’s vision for bank payments to life: making us the method of choice for Billers, Fintechs, and Financial Institutions. Our mission is to harness Plaid’s network—spanning coverage, intelligence, and conversion—to deliver seamless, secure, and intelligent payment experiences. This role is central to accelerating adoption, scaling product impact, and redefining how money moves across the financial ecosystem. Responsibilities: Craft clear, compelling positioning and messaging highlighting the unique value of Plaid’s solutions Conduct ongoing competitive analysis and research to inform product positioning, identify new opportunities, and ensure Plaid maintains a clear comp

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. About the Team Plaid's go-to-market teams combine deep product and industry knowledge to bring Plaid to an ever-broadening set of businesses. We believe every company — and especially banks themselves — can benefit from better technology and access to data, and that consumers benefit when the products available to them are powered by the best in open banking technology. The Banking & Wealth segment is one of Plaid's fastest-growing and most strategic investment areas, serving community banks, credit unions, regional financial institutions, wealth management firms, and marquee financial institution logos. The segment spans both new business sales and ongoing account management, and works closely with key ecosystem partners across use cases including online account opening, consumer lending, asset verification, and fraud prevention. Role Overview Plaid is looking for a proven revenue leader to own and grow our Banking & Wealth segment end-to-end — holding full P&L responsibility across an organization spanning both sales (Account Executives and first-line AE Managers) and account management. This is a foundational, highly visible leadership role for someone who is a buil

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. The Fraud Data team at Plaid builds the machine learning systems that power Plaid’s fraud detection products, leveraging insights from across Plaid’s network to help identify and stop fraud before it happens. Our team works across the full data science and machine learning lifecycle—from discovering new signals and experimenting with models to deploying and optimizing them in production. We continuously learn from real-world model performance and customer feedback to improve our systems and develop new ways to protect customers and consumers from evolving fraud threats. As a Senior Machine Learning Engineer on Plaid's Fraud Data team, you will develop models that improve fraud detection for our customers. You will identify predictive patterns in Plaid's network data and lead projects from initial experiments through model deployment and ongoing improvement. Investigate fraud patterns and model errors to identify new signals, improve detection, and expand coverage across customers and use cases. Develop training datasets and predictive features, addressing challenges such as incomplete labels, class imbalance, data leakage, and changing fraud behavior. Design, train, and tune model

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. We are the Fraud Data team within Plaid's Fraud organization. We leverage relationships and activity across Plaid’s network to develop machine learning models that help customers detect and prevent fraud while minimizing friction for legitimate users. Our team owns the full model lifecycle, from data processing and experimentation to feature pipelines, model serving, and monitoring. In this research role, you’ll partner closely with Machine Learning Engineers and Data Scientists to uncover new signals, explore and evaluate innovative modeling approaches, and translate promising research into production-ready solutions that strengthen fraud detection across Plaid’s network. As a Senior Research Scientist, you will lead applied research to develop next-generation fraud detection models across relational graphs, sequential events, images, and video data. You’ll design rigorous experiments and evaluation methodologies that reflect real-world fraud dynamics, while exploring state-of-the-art approaches such as Graph Neural Networks and Transformer-based foundation models. In close partnership with Machine Learning Engineers, you’ll translate promising research into production-ready solu

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Fraud Data is the data science and machine learning team within Plaid’s Fraud organization, responsible for using data and ML to improve and scale Plaid’s fraud products. Within Fraud Data, the Customer & Product Intelligence team focuses on understanding product performance, uncovering customer insights, and enabling go-to-market teams with data-driven solutions. The team partners closely with customers and GTM teams on fraud analyses and proofs of concept, turning customer learnings into scalable, reusable product capabilities. We also build the metrics, analytics, and data foundations that measure product health, identify opportunities for improvement, and guide product decisions across Plaid’s Fraud portfolio. As a Data Science Manager, you will lead a team responsible for customer-facing data science and Fraud product analytics. You will set the team's roadmap, develop its data scientists, and remain involved in analytical methods, technical reviews, and customer investigations. You will: Set a 6–12-month roadmap with Product, Engineering, and GTM, and assign priorities and responsibilities across the team. Define product metrics, their underlying data, and reporting and

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. We are the Data team within Plaid’s Fraud organization. We build the machine learning systems that power Plaid’s fraud detection products, leveraging Plaid’s network data to help identify and prevent fraud before it happens. Our team owns the end-to-end ML lifecycle, from feature pipelines and model training to production serving and monitoring, ensuring our systems are reliable, scalable, and built to support hundreds of customers and data partners. As a Data Scientist on the Fraud Data team, you will analyze customer and network traffic to understand how Plaid Protect performs across a range of use cases and customer segments. You’ll build dashboards and metrics that provide a clear, shared view of product performance, run backtests to evaluate performance and identify high-impact rules and model strategies, and generate insights that support customer growth and expansion. You’ll also design scalable data models and schemas to enable reliable analysis and reporting, while partnering closely with Product and Engineering to design and analyze experiments for new customer-facing features. Responsibilities: Work at the intersection of product analytics, machine learning, and fraud a

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. About the Team The Fraud Partnerships Pod is responsible for overseeing all traditional business development and partnerships for the Anti-Fraud Product Area (PA) at Plaid, focusing primarily on our product partnerships and data acquisition (supply side) efforts. The team supports all products under the Fraud Product Area's purview: IDV, Monitor, Layer, and Protect. About the Role You will have an opportunity to lead the strategy and execution of our supply side and "data in" efforts for our Fraud product area across four products (Plaid IDV, Monitor, Layer, and Protect). You will own all critical data partner relationship management with key stakeholders and be expected to grow them over time. You will be the internal quarterback driving alignment with key major internal stakeholders at Plaid, including Finance, BizOps, Commercial, Legal, and Risk. What You'll Do Spend the majority of your time working hand in hand with product leadership as well as other cross-functional leaders to operationalize our data partners for all fraud products at Plaid. Help our data science and research teams define the source data ecosystem for IDV and Protect according to our 3-year strategy. Help e

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. The Data team within Plaid’s Fraud organization builds the machine learning systems that power Plaid’s fraud detection products, leveraging Plaid’s unique network data to identify and stop fraud before it happens. The team owns the full ML lifecycle—from feature pipelines and model training to production serving and monitoring—building reliable, scalable systems that deliver high-quality fraud detection as we grow to support hundreds of customers. As a Senior Machine Learning Engineer, you will own the development of high-performance feature computation and online inference pipelines that power production machine learning systems at scale. You’ll build robust observability, monitoring, and automated debugging capabilities, while leveraging AI-assisted tools to investigate complex system behavior and maintain high reliability. You’ll partner closely with ML Infrastructure, Data Science, and Product teams to execute critical technical initiatives and deliver scalable, high-impact ML solutions. Responsibilities: Build and scale machine learning systems that power a rapidly growing fraud detection product in a fast-paced environment. Solve complex technical challenges at the intersect