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We are seeking a skilled and detail-oriented professional to join our team as a Portfolio Pricing and Valuations Analyst. The successful candidate will play a critical role in maintaining and enhancing the firm's pricing and valuation infrastructure for equity derivative products, with a focus on volatility, vanilla, and exotic products.

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The candidate will be a key contributor in the review and validation of pricing models and methodologies, the analysis and explanation of P&L, and the onboarding of new and complex products.

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Principal Responsibilities:

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Qualifications/Skills:

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Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. The estimated base salary range for this position is $160,000 to $250,000, which is specific to New York and may change in the future. When finalizing an offer, we take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

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XML job scraping automation by YubHub

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We are seeking a Regional Sales Manager, Northeast, to join our team. As a Regional Sales Manager, you will be responsible for managing the retail channel in the Northeast region of the country for regional accounts. You will partner with the VP, cross-functional teams, brokers, and distributors to develop and execute Oatly's retail sales strategy across multiple categories in the West retail channel.

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Your responsibilities will include driving sales, building strong retail relationships, executing sales plans, forecasting and performance, customer management, category and sales presentations, trade and marketing execution, cross-functional collaboration, broker management, team collaboration, and event participation.

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To be successful in this role, you will need a minimum of 4+ years in retail sales/sales management/Grocery experience in the CPG industry, reside in the Northeast, near a major airport, prior experience calling on and managing customers such as AHOLD, Market Basket, Wakefern, and New York Metro distributors, a solid understanding of multiple distribution methods to get to customers, experience successfully working with and managing brokers, category management understanding and knowledge using syndicated data sources (SPINS, Nielsen, IRI) to support fact-based selling, strong ability in PowerPoint and Excel, excellent organizational and communication skills, thorough understanding of trade math, promotional planning, and forecast rationale, strong ability to communicate and present clearly and effectively, strong critical thinking, problem-solving skills, passion for relationship building across teams as well as with external broker partners, buyers, and distributors, motivated, proactive, enthusiastic, and positive, highly organized and capable of managing multiple priorities in a remote work environment, and excitement to get into the market and travel for customer meetings, trade shows/conferences, and market visits.

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As an Oatly team member, you will feel connected to our mission of encouraging health, sustainability, and transparency, be a self-starter who doesn’t need direct supervision to motivate you for success, be ready to make your mark in a smaller, growing brand, leveraging your experience to deliver amazing results and build an outstanding company, have an entrepreneurial spirit in that you’re comfortable with ambiguity and are energized by the process of building something lasting from the ground up, and enjoy sharing your quirkiness and talents with your coworkers.

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In return, we offer flexible vacation, really great benefits, paid volunteer days off throughout the year, free six packs of oatmilk, and genuinely great coworkers who are rooting for each other and the company to thrive.

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XML job scraping automation by YubHub

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As a Research Economist at Anthropic, you will work to measure and understand AI's effects on the global economy. You will make fundamental contributions to the development of the Anthropic Economic Index, establishing new methodologies to measure the usage, diffusion, and impact of AI throughout the economy using privacy-preserving tools and novel data sources. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigour will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions.

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Our team combines rigorous empirical methods with novel measurement approaches. We're building first-of-its-kind datasets tracking AI's impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system (Clio), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks.

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The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact. They will have a strong track record of empirical research, particularly studies combining novel data sources and economic theory or those implementing frontier methods in causal inference and machine learning.

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Some examples of our recent work include:

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For this role, we're looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI's transformative effects on the economy.

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XML job scraping automation by YubHub

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As a Quantitative Trader at xAI, you will play a key role in improving our advanced AI systems by delivering high-quality annotations, evaluations, and expert input using specialised labeling tools.

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You will collaborate closely with our technical teams to support the development and refinement of new AI capabilities, with a particular emphasis on quantitative trading domains.

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Your expertise will help select and solve challenging problems in systematic and quantitative strategies , including statistical arbitrage, factor investing, market microstructure modeling, high-frequency / execution algorithms, risk premia harvesting, machine learning-based alpha generation, and portfolio optimisation under realistic constraints.

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This role requires strong analytical thinking, rapid adaptation to evolving guidelines, and the ability to provide rigorous, technically sound critiques and solutions in a fast-moving environment.

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As a Quantitative Trader, you will directly contribute to xAI's mission by helping train and refine our frontier AI models.

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You will teach the models how quantitative traders reason, model markets, evaluate signals, manage risk, and interact with complex financial data and systems.

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This involves providing high-quality data in various formats (text, voice, video), writing detailed annotations, critiquing model outputs, recording audio explanations, and occasionally participating in structured video sessions.

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We are looking for individuals who are enthusiastic about these data-generation activities, as they form a core part of advancing xAI’s goals in scientific discovery and real-world reasoning.

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Quantitative Traders provide labeling, annotation, evaluation, and expert reasoning services across text, voice, and video data modalities to support model training and evaluation.

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The role may include recording audio responses, participating in video-based tasks, or producing step-by-step quantitative reasoning traces , all of which are essential job functions required to fulfill xAI’s mission.

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All outputs are considered work-for-hire and owned by xAI.

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XML job scraping automation by YubHub

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We're looking for a research engineer to help improve our in-house world models through better multimodal data. This role is about figuring out what data actually moves model quality , then building the datasets, pipelines, and experiments to prove it.

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The best generative models aren’t just a product of model architecture and compute, they are a product of the training data. The model output reflects someone’s obsession over what goes into the data, how it’s processed, and what gets thrown away. We’re looking for the person who does the obsessing and builds the tools to act on it at scale.

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This isn’t a role where someone hands you a dataset and asks you to clean it. You will decide what data we need, figure out where to get it, build the processing and curation systems, and close the loop with model training to make sure it actually works.

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Responsibilities:

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Requirements:

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Nice to Have:

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What This Isn’t:

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XML job scraping automation by YubHub

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We're looking for a senior credit risk leader to help build and scale the underwriting strategy for our new consumer charge card. You'll take an initial strategic direction and turn it into a scalable, data-driven underwriting program, then monitor, refine, and evolve that strategy post-launch.

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As the portfolio grows, this role is expected to evolve into team leadership. You'll play a key role in shaping how risk decisions translate into customer experience, product growth, and long-term portfolio performance.

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Key responsibilities include:

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Requirements include:

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Total rewards package includes base salary, equity, and benefits. Salary and equity ranges are highly competitive within the SaaS and fintech industry.

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XML job scraping automation by YubHub

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We are seeking a highly analytical Credit Analyst to help develop data-driven credit policies and support the growth of Jeeves' global credit portfolio. In this role, you will use a wide range of internal and external data sources to refine underwriting criteria, strengthen new customer originations, and reduce credit risk.

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Key responsibilities include:\nDeveloping best-in-class data-driven credit policies and business strategies,\nDelivering advancements in data and analytics,\nImproving credit monitoring and governance.

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This role requires strong technical proficiency, a solid foundation in credit risk analytics, and the ability to turn complex data into actionable business strategies.

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Location: This role is based out of Mexico City, Mexico, and is a full-time hybrid position where it is required to come into our office in Roma Norte (2–3 days/week).

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#LI-HYBRID

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XML job scraping automation by YubHub

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We are seeking a highly analytical Credit Analyst to help develop data-driven credit policies and support the growth of Jeeves' global credit portfolio. In this role, you will use a wide range of internal and external data sources to refine underwriting criteria, strengthen new customer originations, and reduce credit risk.

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As a Credit Business Analyst, you will contribute to advancing our data and analytics framework, leveraging statistical methods and credit risk models to generate insights and drive strategy. You will also enhance credit monitoring and governance by building dashboards, improving reporting processes, and refining risk rating practices.

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This role requires strong technical proficiency, a solid foundation in credit risk analytics, and the ability to turn complex data into actionable business strategies.

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XML job scraping automation by YubHub

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We are seeking a highly analytical Credit Analyst to help develop data-driven credit policies and support the growth of Jeeves' global credit portfolio. In this role, you will use a wide range of internal and external data sources to refine underwriting criteria, strengthen new customer originations, and reduce credit risk.

\n

You will contribute to advancing our data and analytics framework, leveraging statistical methods and credit risk models to generate insights and drive strategy. Additionally, you will enhance credit monitoring and governance by building dashboards, improving reporting processes, and refining risk rating practices.

\n

This role requires strong technical proficiency, a solid foundation in credit risk analytics, and the ability to turn complex data into actionable business strategies.

\n

Job Responsibilities:

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Required Qualifications:

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XML job scraping automation by YubHub

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Do you want to boost your career and collaborate with expert, talented colleagues to solve and deliver against our clients' most important challenges? We are growing and are looking for people to join our team. You'll be part of an entrepreneurial, high-growth environment of 300,000 employees. Our dynamic organization allows you to work across functional business pillars, contributing your ideas, experiences, diverse thinking, and a strong mindset. Are you ready?

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As a SAP Security/GRC Consultant, you will work closely with diverse clients to assess their SAP security risks, design and implement tailored SAP Security and Governance, Risk & Compliance (GRC) solutions, and drive successful project delivery. You will act as a trusted advisor, helping clients align SAP security frameworks with business objectives and compliance mandates.

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Responsibilities

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Requirements

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_Given that this is just a short snapshot of the role we encourage you to apply even if you don't meet all the requirements listed above. We are looking for team members who strive to make an impact and are eager to learn. If this sounds like you and you feel you have the skills and experience required, then please_ _apply now._

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XML job scraping automation by YubHub

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About Anthropic

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Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole.

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About the role

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We are looking for a Product Owner, Enrichment to own and drive the strategy, architecture, and execution of our data enrichment ecosystem. This role sits at the intersection of Revenue Operations, Data Engineering, and Go-to-Market strategy, and is responsible for building and maintaining a best-in-class enrichment infrastructure that delivers a reliable, comprehensive source of truth for company and contact data across global markets.

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You will be the subject matter expert and product owner for all enrichment tools, data sources, and processes—including platforms like Clay, Dun & Bradstreet, ZoomInfo, and other third-party providers. You will design and operate the systems that power account hierarchies, firmographic enrichment, contact discovery, and signal detection, ensuring our GTM teams have the accurate, complete data they need to identify, prioritise, and close business.

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This is a hands-on, technically-oriented role that requires deep experience working with large datasets, complex system integrations, and Salesforce data modelling. You will collaborate closely with Sales, Marketing, Data Science, Data Engineering, and Revenue Operations to ensure our enrichment strategy supports both near-term GTM execution and long-term data infrastructure goals.

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Responsibilities:

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You may be a good fit if you have:

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Strong candidates may have:

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You'll serve as the central coordinator between Data Science, Growth Marketing, Brand Marketing, Product, Engineering, Data Infrastructure, Privacy, Finance, and external partners including MMM vendors, media platform partners, and agencies. This role requires someone who can navigate technical complexity, drive alignment across diverse stakeholders, and translate between business strategy and technical execution across both performance and brand measurement.

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As the program lead for our measurement infrastructure, you'll be responsible for delivering our MMM proof-of-concept, establishing ongoing experimentation frameworks, designing and executing brand lift studies, leading the strategic assessment and migration of infrastructure, and building the operational foundations that enable data-driven marketing investment decisions at scale.

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Responsibilities:

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You May Be a Good Fit If You:

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