Finance And Operations Audit Leader in New York

ABOUT PROPRIETARY RESEARCH On our proprietary research team—Market Intelligence— you will uncover insights about markets and the broader economy through deep compliant fundamental research and applying data science and engineering techniques to alternative data sets. In partnership with our investment professionals and Compliance team, our team of analysts, data scientists and engineers work together to produce compliant research and build tools that inform our firm’s investments. We look for other bright, motivated, and collaborative people to join our team and grow with us—a majority of the leaders in our group were promoted from within. WHAT YOU’LL DO As a Macro Analyst, Market Intelligence covering the US, you will work with alternative data to gather macroeconomic context and identify insights relevant to rates and FX markets. You will then partner with our team of data scientists and engineers to develop analyses that you deliver as synthesized insights to our investment professionals to help aid in their research processes. The work is ever evolving, affording opportunities to tackle new challenges alongside research teammates from diverse backgrounds. Specifically, you will: Analyze and interpret alternative data from multiple sources and develop subject-matter expertise on the key themes and KPIs that drive the markets within your assigned coverage Produce research for internal consumption by our investment professionals across a variety of channels, including written reports, verbal communication, data feeds, and visualizations Interact directly with our investment professionals to learn the macro investment process from them and help drive more informed investment decisions Collaborate with our proprietary research teams including Data Sourcing, Data Science, and Data Engineering, as well as Compliance, to source, evaluate, and draw value from new and existing data assets to produce actionable research for investment professionals WHAT’S REQUIRED &nb

WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YOU Box is transforming how the world works together. Our Enterprise Sales team is expanding, and we’re hiring a high-impact Enterprise Account Executive to drive net-new logo acquisition across the Insurance vertical. This is a hunter role owning a white-space territory—prospecting into large, complex enterprises, building executive relationships, and closing multi-stakeholder, enterprise-wide deals. You’ll shape repeatable Insurance industry go-to-market motions while partnering cross-functionally to help customers securely manage, govern, and collaborate on their most critical content. If you thrive on opening doors, navigating ambiguity, and creating measurable business outcomes, this role offers visibility, growth, and the chance t

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The Senior Manager, Market Intelligence will lead strategic workstreams end-to-end, directing team analysis and shaping executive-ready recommendations on the enterprise's most important growth and corporate development questions. Partnering closely with the Enterprise Strategy team, this role drives market research, competitive analysis, and project management to identify growth opportunities, assess markets, and support M&A and partnership evaluation. The Senior Manager will leverage AI-enabled research and market intelligence tools to accelerate insight generation and inform enterprise decision-making, while coaching junior colleagues and building alignment across senior stakeholders. Key Responsibilities Lead one or more Market Intelligence workstreams by defining scope, structuring plans, and adjusting course as priorities evolve. Analyze market trends, competitive dynamics, macroeconomic factors, and growth opportunities to shape strategic recommendations. Direct hypothesis-driven analysis, ensuring insights are accurate, timely, and decision-ready. Synthesize qualitative and quantitative insights into clear points of view by challenging assumptions, reconciling differing perspectives, and connecting findings to broader strategic implications. Craft executive-ready narratives, business cases, and recommendations

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

About the Team The Dasher & Logistics team is responsible for ensuring every delivery is completed with speed, accuracy and a positive Consumer, Merchant and Dasher experience. Dasher & Logistics owns initiatives that touch all parts of the Dasher life cycle ranging from supply & demand, to cost & quality, to Dasher pay, to Dasher retention, to order batching and beyond. We care about metrics like delivery times, cost per order, delivery quality, dasher compensation, and many more! About the Role We are hiring an Associate Manager to help lead strategy and execution for our Dasher & Logistics regulatory markets, the growing set of cities, states, and countries where Dasher pay, benefits, and working conditions are shaped by minimum earnings guarantees, pay transparency requirements, and other logistics specific regulation. You'll own a portfolio of KRs across some of our highest priority business problems by getting into the weeds to understand what's happening on the ground, using data and customer insights to identify opportunities, developing and testing hypotheses, and partnering cross-functionally to bring solutions to life at scale. You will report directly to a Senior Manager on the Dasher & Logistics team. You’re excited about this opportunity because you will… Own a portfolio of KRs across our regulatory markets, setting the strategy and building the execution plan to hit your goals Use a data-driven approach to investigate problems, creating insightful analysis from a combination of quantitative and qualitative information, and implement next steps Operate at the lowest level of detail in order to build strong foundational knowledge of your problem space and provide recommendations for leadership Define and test hypotheses through experimentation, leverage AI to accelerate learnings, and scale successful strategies across the org Work cross-functionally across multiple teams to drive alignment and impac

Position Overview: The Director, Product Marketing will own the end-to-end go-to-market strategy for Diligent Boards , driving positioning, messaging, product launches, market intelligence, sales enablement, pricing and packaging, and customer adoption across key segments and regions. We are looking for a strategic B2B SaaS product marketer with strong technical aptitude who can translate complex technology into compelling customer value. The ideal candidate has experience in a SAAS technology company. Exposure to product-led growth (PLG) is highly valuable. You will partner closely with Product, Engineering, AI/Data, Sales, Marketing, Customer Success, Enablement, Finance, and senior leadership to identify market opportunities, influence product strategy, and bring differentiated technology solutions to market. This is a high-impact role requiring someone who can move seamlessly between technical product detail, customer insights, commercial strategy, and compelling storytelling . Key Responsibilities: Go-to-Market & Product Strategy Own end-to-end GTM strategies for Diligent Boards across key customer segments and regions. Develop differentiated positioning, messaging, value propositions, and launch strategies based on customer, market, and competitive insights. Partner with Product and Engineering to understand product roadmaps, technical capabilities, integrations, data, AI functionality, and translate these into compelling customer benefits. Identify opportunities to improve product-market fit, adoption, expansion, and revenue growth. AI & Technical Product Marketing Develop GTM strategies for AI-powered products and capabilities , translating AI/GenAI functionality into clear business value and differentiated market positioning. Build sufficient technical depth to

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. The Manager, Compensation & Equity will lead the day-to-day administration, evolution, and success of CLEAR’s broad-based compensation and equity programs. This highly essential role will partner across People, Finance, Legal, and business leadership to deliver market-competitive, equitable, and scalable programs that support CLEAR’s exciting growth both now and in the future. What you'll do: Lead compensation processes across offers, promotions, job changes, market pricing, and pay recommendations in alignment with CLEAR’s compensation philosophy Effectively translate CLEAR’s compensation philosophy to employees, managers, and leaders, providing clarity and context around compensation programs and pay decisions Own equity administration in partnership with Fidelity, Finance, Legal, and payroll, including grants, vesting transactions, reporting, reconciliations, and employee inquiries Administer our compensation cycles, including promotions, merit increases, bonuses, and equity planning, from design and configuration through audit, execution, and communications Leverage and introduce AI-enabled tools and workflows to improve compensation analysis, market intelligence, process efficiency, and decision-making Maintain Workday compensation configuration and data integrity, including grades, grade profiles, compensation plans, stock value updates, and recurring audits Support compensation training and education by creating clear, accessible resources that help employees, managers, and leaders understand CLEAR’s compensation

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . We are building a world-class sales team, enabling our largest and most strategic partners to best utilize Pinterest advertising products to grow their business. Reporting to Nitin Kumar, our US Emerging Sector Lead, you'll be responsible for setting forth the overall sales strategy for the Financial Services sales organization. In this role, you will lead a sales organization that spans multiple levels and functions (Sales Managers, Partner Managers, and Account Managers). In setting forth the overall sales strategy for this industry, you will work closely with your team to drive consistent value for partners, and revenue growth for Pinterest. What you’ll do: Lead the strategy and execution for Pinterest’s Financial Services advertising business in the US. Drive revenue growth across a large, high-visibility business while defending

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. 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. 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

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 Embedded Insights team supports Plaid’s mission to build a world-class suite of intelligence products. We identify the best opportunities to use machine learning in Plaid products, prove out those opportunities, and collaborate with cross-functional partners to turn them into real-world production systems. About the Role As a Senior Machine Learning Engineer on Embedded Insights, you will help shape Plaid’s future by building machine learning-powered products and features. You will initially support the Plaid App, working on a 0-to-1 consumer-facing product and helping establish product-market fit for a new business line. You will work closely with product managers, data scientists, engineers, customers, and other machine learning engineers to translate ambiguous opportunities into effective ML systems that create measurable customer value. In supporting the Plaid App, you will: Build machine learning-based features for a 0-to-1 consumer-facing product. Partner with product managers to translate ambiguous business requirements into machine learning problems and influence product strategy and roadmap decisions. Rapidly iterate and experiment to help drive product

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 Credit team at Plaid is building the largest cash flow based Consumer Reporting Agency (CRA) in the US to deliver lending solutions across the full lender lifecycle — including underwriting, verification, and servicing. We help lenders make faster, more informed decisions using consumer-permissioned financial data. As the Product Manager for our CRA Network team, you will grow the number of consumers that have permissioned their data to our CRA, Plaid Check. You will build a more robust experience for consumers to interact with the CRA and learn more about sharing cash flow data with lenders. Responsibilities Own and accelerate the growth and health of our CRA network Drive credit initiatives across the broader Plaid network Own consumer consent UX experience including conversion and improvements Build trust through our CRA consumer experience Qualifications 5+ years of product management experience Must have built and owned a lending product at a FinTech Experience working on a growth product - especially on a network product Deep understanding of the E2E lending process from acquisition to originations to servicing Excellent communication skills and the ability to advocate f

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. Making data-driven decisions is key to Plaid's culture. To support that, we need to scale our data systems while maintaining correct and complete data. We provide golden datasets and tooling to teams across engineering, product, and business and help them explore our data quickly and safely to get the data insights they need, which ultimately helps Plaid serve our customers more effectively. In addition, Plaid will not be successful if we can't move quickly. We build the data systems and tools that enable everyone at Plaid to be data-driven, making analytics easy, obvious, and proactive across the company. Data Engineers heavily leverage SQL and Python to build data workflows that integrate with our Golang applications. We use tools like DBT, Airflow, Redshift, Atlan, and Retool to orchestrate data pipelines and define workflows. We work with engineers, product managers, business intelligence, data analysts, and many other teams to build Plaid's data strategy and a data-first mindset. You will be in a high impact role that will directly enable business leaders to make faster and more informed business judgements based on the datasets you build. You will have the opportunity to car

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, our mission is to empower innovators by delivering access to the financial system. Since 2012 we've helped tens of millions of consumers live a better financial life and thousands of customers build a new financial future. We work with companies like PayPal, Rocket, H&R Block, and many of the largest banks in the US to make it easy for consumers 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, Raleigh, Washington D.C., London and Amsterdam. The Account Management team in Plaid’s Enterprise Segment leverages deep product and industry expertise to help our customers build and scale technology solutions. We act as partners, advisors, and advocates for our customers to help shape how consumers interact with their finances. As an Enterprise Account Management Lead, you’ll be responsible for managing the team of senior account managers who are growing the revenue from the Enterprise customer base, as well as setting the vision and strategy to build long-term