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YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5dfa9c86-5c0"},"title":"Director, US Forecasting & Analytics– Vaccines & Immune Therapies","description":"<p>Director, US Forecasting &amp; Analytics – Vaccines &amp; Immune Therapies Global Insights, Analytics &amp; Forecasting, BBU Hybrid Work- on average 3 days a week from office</p>\n<p>The Director, US Forecasting &amp; Analytics – Vaccines &amp; Immune Therapies is a senior commercial insights leader responsible for US demand forecasting and analytics across the V&amp;I portfolio. The role is predominantly forecast-focused, serving as the US forecasting lead and strategic thought partner to Marketing, Finance, Market Access, and US teams.</p>\n<p>Responsibilities:</p>\n<p>US Forecasting Leadership (Core Accountability)</p>\n<ul>\n<li>Lead US short-term and long-term demand forecasts (TRx, NBRx, volume, patients, revenue) for V&amp;I assets using robust, patient-based and market-based models</li>\n<li>Own forecast methodology, assumptions, and governance, ensuring objectivity, transparency, and consistency with enterprise standards</li>\n<li>Integrate primary market research, epidemiology, competitive intelligence, access dynamics, and real-world data into forecast models</li>\n<li>Proactively identify and quantify key risks and opportunities through scenario and sensitivity analyses</li>\n<li>Partner closely with Finance, Market Access &amp; Pricing, Marketing, Sales, Medical, and Global Forecasting to ensure alignment on assumptions and implications</li>\n<li>Support business planning, governance reviews, and opportunity assessments with clear, executive-ready narratives</li>\n<li>Serve as a trusted advisor to senior marketing and finance leadership, clearly articulating forecast drivers and changes</li>\n</ul>\n<p>Analytics &amp; Resource Leadership (Enablement)</p>\n<ul>\n<li>Provide leadership over forecasting-adjacent analytics, ensuring advanced analytics and insights are embedded into forecasting and business planning</li>\n<li>Manage and prioritize internal analysts, contractors, and external vendors supporting forecasting and analytics deliverables</li>\n<li>Partner with data analytics resources, Global IA&amp;F, and GIBEX capability teams to deploy new tools, data sources, and modeling approaches</li>\n<li>Champion and identify new ways to embed AI and advanced automation into the practice of data analytics and forecasting to drive efficiency, scalability, and decision quality</li>\n<li>Champion continuous improvement in forecasting processes, AI-enabled modeling, and automation</li>\n<li>Contribute to the development and sharing of best practices across the V&amp;I forecasting community</li>\n</ul>\n<p>Essential for the role</p>\n<ul>\n<li>Bachelor’s degree in a quantitative, scientific, or business-related field required (e.g., Statistics, Economics, Mathematics, Engineering, Computer/Data Science).</li>\n<li>8+ years’ experience in US pharmaceutical commercial forecasting, including in-market and late-stage pipeline assets</li>\n<li>Hands-on model ownership experience (build, refresh, and performance tracking) across short- and long-term horizons</li>\n<li>Expertise in scenario-based forecasting, sensitivity analysis, and driver-based narratives to support senior decision-making</li>\n<li>Strong capability integrating multiple data types (e.g., IQVIA, claims, epidemiology, RWD/RWE, primary research) into coherent, decision-grade forecasts</li>\n<li>Working knowledge of advanced analytics/ML approaches (e.g., time series, causal inference, ensembles) and where they add value vs. traditional methods</li>\n<li>Fluency in modern analytics tooling and automation (e.g., Python/R/SQL, BI/visualization), with ability to partner effectively with data engineering and analytics teams</li>\n<li>Demonstrated forecast governance and model risk discipline (traceable assumptions, documentation, and clear explanations)</li>\n<li>Strong understanding of US market access and payer dynamics and how they impact demand (coverage, contracting, channel, policy)</li>\n<li>Exceptional communication: translates complex analysis into clear, executive-ready insights, options, and recommendations</li>\n<li>Strong commercial competence across key demand levers (positioning, adoption, competitive dynamics, lifecycle events)</li>\n</ul>\n<p>Desirable for the role</p>\n<ul>\n<li>Advanced degree preferred (e.g., MBA, MS, PhD in Statistics, Economics, Decision Sciences, Data Science, or related discipline).</li>\n<li>Vaccines and/or Rare Disease experience, including familiarity with immunization dynamics, patient-based forecasting, and lifecycle management in preventive or immune-mediated therapies</li>\n<li>Change leadership: builds adoption for new tools, processes, and ways of working across cross-functional stakeholders</li>\n<li>Product mindset for forecasting: defines user needs, success metrics, and a roadmap for portfolio forecasting capabilities</li>\n<li>Model lifecycle practices (e.g., reproducibility, versioning, monitoring/drift awareness); familiarity with MLOps concepts</li>\n</ul>\n<p>Office Working Requirements</p>\n<p>When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That’s why we work, on average, a minimum of three days per week from the office. But that doesn’t mean we’re not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.</p>\n<p>#LI-Hybrid</p>\n<p>Date Posted 10-Apr-2026 Closing Date 23-Apr-2026 Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_5dfa9c86-5c0","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Global Insights, Analytics & Forecasting - V&I","sameAs":"https://astrazeneca.eightfold.ai","logo":"https://logos.yubhub.co/astrazeneca.eightfold.ai.png"},"x-apply-url":"https://astrazeneca.eightfold.ai/careers/job/563877689756206","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["forecasting","analytics","model ownership","scenario-based forecasting","sensitivity analysis","driver-based narratives","advanced analytics","machine learning","Python","R","SQL","BI/visualization","data engineering","forecast governance","model risk discipline","US market access","payer dynamics","exceptional communication","commercial competence"],"x-skills-preferred":["vaccines","rare disease","change leadership","product mindset","model lifecycle practices","MLOps"],"datePosted":"2026-04-18T22:13:06.502Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Wilmington, Delaware, United States of America"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Healthcare","skills":"forecasting, analytics, model ownership, scenario-based forecasting, sensitivity analysis, driver-based narratives, advanced analytics, machine learning, Python, R, SQL, BI/visualization, data engineering, forecast governance, model risk discipline, US market access, payer dynamics, exceptional communication, commercial competence, vaccines, rare disease, change leadership, product mindset, model lifecycle practices, MLOps"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c726913d-082"},"title":"Senior Manager, FP&A -Strategic Finance","description":"<p>We&#39;re building advanced autonomous systems for defence and commercial markets. Scaling a business like this requires world-class financial modelling, a deep understanding of how complex hardware + software companies create value, and the ability to turn complexity into clarity.</p>\n<p>We&#39;re hiring a Senior Manager, Strategic Finance to be the VP of FP&amp;A&#39;s analytical right-hand and the architect of our long-range financial model. You excel at building dynamic, accurate, scalable 3-statement models grounded in unit economics and operational drivers. You&#39;ve lived in Excel,investment banking, PE, hedge funds, equity research,and you bring a forward-looking mindset around leveraging cloud tools, automation, and analytics to elevate what modelling can do.</p>\n<p>This is the analytical engine of Strategic Finance, with a natural path to Investor Relations as the company scales.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Build the Company&#39;s Strategic Financial Model</li>\n<li>Own and build the fully integrated 3-statement model based on unit economics, KPIs, and industry benchmarks</li>\n<li>Lead the long-range plan (LRP) and multi-scenario modelling</li>\n<li>Tie operational drivers,production ramps, R&amp;D, contract timing, GTM,to financial outcomes</li>\n<li>Build valuation frameworks, sensitivities, and investor-grade outputs</li>\n<li>Maintain a forward-looking view on risks, opportunities, and strategic drivers</li>\n</ul>\n<ul>\n<li>Digitise &amp; Scale the Modelling Infrastructure:</li>\n<li>Partner with data engineering and systems teams to evolve models from Excel to modern cloud-based planning tools</li>\n<li>Build modular, scalable structures where Excel is used only for high-value analysis</li>\n<li>Use analytics and automation to reduce manual modelling and increase clarity</li>\n</ul>\n<ul>\n<li>Analyse the Business Like an Investor:</li>\n<li>Benchmark peers in defence, autonomy, robotics, aerospace, and industrial tech</li>\n<li>Build competitor profiles, KPI benchmarks, and market analyses</li>\n<li>Develop a POV on unit economics, efficiency, scale, and profitability</li>\n<li>Support M&amp;A modelling, valuation, and diligence</li>\n<li>Provide clear, strategic insights,not just numbers</li>\n</ul>\n<ul>\n<li>Lead Cash Flow &amp; 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This role provides standing ownership of capital, margin, liquidity, and counterparty risk analytics that directly shape product design, settlement structures, regulatory engagement, and growth strategy.</p>\n<p>The Global Analytics team applies quantitative and technological expertise to empower the firm with advanced models, tools, and other analytical resources. We are seeking a Capital and Risk Analytics Lead within the Global Analytics team to support the firm’s business across both banking and markets regulatory regimes.</p>\n<p><strong>Technical Skills:</strong></p>\n<ul>\n<li>Strong proficiency in quantitative modeling related to capital, margin, liquidity, and counterparty risk</li>\n<li>Experience with risk management methodologies such as margin modeling, exposure measurement, stress testing, scenario analysis, and sensitivity analysis</li>\n<li>Proficiency in a programming language such as Python, R, or similar</li>\n<li>Experience working with large datasets and analytical tools to support risk and capital analysis</li>\n<li>Ability to design, document, and maintain defensible analytical frameworks suitable for regulatory review</li>\n</ul>\n<p><strong>Complexity and Impact of Work:</strong></p>\n<ul>\n<li>Own capital and risk analytics across banking and other regulatory requirements</li>\n<li>Design and maintain frameworks for margin, settlement exposure, netting, prefunding, and liquidity analysis</li>\n<li>Perform scenario analysis and stress testing tied to market volatility, volume growth, and adverse conditions</li>\n<li>Evaluate capital and risk tradeoffs to support product design, limits, and settlement architecture</li>\n<li>Produce clear documentation and governance artifacts to support supervisory discussions and internal controls</li>\n<li>Lead complex analytical workstreams end-to-end with limited oversight while coordinating with cross-functional partners</li>\n</ul>\n<p><strong>Organizational Knowledge:</strong></p>\n<ul>\n<li>Have a deep knowledge of the strategy of Anchorage Digital and its various business lines</li>\n<li>Familiarity with U.S. banking regulatory requirements and supervisory expectations, and understand their impact on the organization</li>\n</ul>\n<p><strong>Communication and Influence:</strong></p>\n<ul>\n<li>Write, edit, and review technical documents suitable for regulatory, executive, and internal stakeholder audiences</li>\n<li>Produce clear reports and presentations translating complex analytics into business-relevant insights</li>\n<li>Act as a trusted quantitative partner to senior leadership on capital and risk-related decisions</li>\n<li>Contribute to cross-functional initiatives and collaborate closely with Product, Risk, Legal, Compliance, Finance, and Engineering teams</li>\n<li>Provide guidance or informal training to other team members on capital and risk topics</li>\n</ul>\n<p><strong>You may be a fit for this role if you have:</strong></p>\n<ul>\n<li>Bachelor’s degree in a quantitative field such as statistics, applied mathematics, economics, quantitative finance, and operations research. Advanced degrees preferred.</li>\n<li>8+ years of experience in capital, margin, or risk analytics within banking, derivatives markets, clearing, or regulated financial infrastructure</li>\n<li>Direct experience with capital adequacy, margin requirements, counterparty exposure, or liquidity risk</li>\n<li>Hands-on experience designing and maintaining quantitative frameworks used in regulated environments</li>\n<li>Experience writing and defending analytical methodologies in regulatory or supervisory contexts</li>\n</ul>\n<p><strong>Although not a requirement, bonus points if:</strong></p>\n<ul>\n<li>You&#39;ve kept up to date with the proliferation of blockchain and crypto innovations</li>\n<li>You were emotionally moved by the soundtrack to Hamilton, which chronicles the founding of a new financial system.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_00ef78fd-3c0","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anchorage Digital","sameAs":"https://anchorage.com","logo":"https://logos.yubhub.co/anchorage.com.png"},"x-apply-url":"https://jobs.lever.co/anchorage/e955e590-6b00-4170-a287-66a4c5ebec32","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Strong proficiency in quantitative modeling related to capital, margin, liquidity, and counterparty risk","Experience with risk management methodologies such as margin modeling, exposure measurement, stress testing, scenario analysis, and sensitivity analysis","Proficiency in a programming language such as Python, R, or similar","Experience working with large datasets and analytical tools to support risk and capital analysis","Ability to design, document, and maintain defensible analytical frameworks suitable for regulatory review"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:21:50.090Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Finance","skills":"Strong proficiency in quantitative modeling related to capital, margin, liquidity, and counterparty risk, Experience with risk management methodologies such as margin modeling, exposure measurement, stress testing, scenario analysis, and sensitivity analysis, Proficiency in a programming language such as Python, R, or similar, Experience working with large datasets and analytical tools to support risk and capital analysis, Ability to design, document, and maintain defensible analytical frameworks suitable for regulatory review"}]}