Hivemind Finance seeks a proactive, detail-oriented Lead FP&A Analyst to join our dynamic Finance team. This role will be integral in forecasting orders, revenue, and cash flow, driving executive-level reporting, and providing analytical support for business unit budget tracking.
\nThe ideal candidate will bring strong experience in the U.S. defense sector, including familiarity with government contracting dynamics, while also operating effectively in a fast-paced, software-driven environment.
\nKey responsibilities include:\nForecasting company orders, revenue, and cash flow with accuracy and insight, incorporating government contract structures, funding profiles, and award timing.\nPreparing and delivering executive-level reports, clearly articulating financial performance, program health, and strategic implications.\nSupporting preparation and review of executive and board-level materials, including program-level performance reporting.\nMonitoring and tracking budget performance at the Business Unit and program/contract level, highlighting key variances and actionable insights.\nPartnering closely with program finance, program managers, business development, and operational leaders to provide forward-looking insights on contract performance and pipeline conversion.\nSupporting financial planning processes tied to government contracts (e.g., cost-plus, fixed-price, T&M) and commercial software revenue models (e.g., SaaS, licensing, and usage-based pricing).\nLeveraging FP&A tools (e.g., Anaplan or similar platforms) to enhance forecasting, reporting, and scenario modeling.
\nRequired qualifications include:\n5+ years of FP&A experience within the U.S. defense industry, aerospace & defense, or government contracting environment.\nStrong understanding of government contract structures, including cost-plus, fixed-price, and time & materials.\nFamiliarity with FAR (Federal Acquisition Regulations) and financial implications of compliance in forecasting and reporting.\nProven expertise in top-down and bottom-up forecasting, including enterprise budgeting, cost pool planning, and management of indirect rates and wrap rates (e.g., G&A, overhead, fringe) within a program-based environment.\nExperience supporting program finance, contract performance analysis, and backlog/pipeline forecasting.\nKnowledge of ASC 606 revenue recognition principles and their application in forecasting and financial analysis.\nProficient in delivering executive management-level reporting and analysis.
\nPreferred qualifications include:\nExperience operating in organizations at the intersection of defense and commercial technology/software.\nExposure to SaaS or software business models, including knowledge of revenue recognition in software business models (ASC 606 application in SaaS, licensing, and usage-based revenue).\nExperience with financial systems automation, data pipelines, or advanced FP&A tooling.\nWorking knowledge or hands-on experience with automation technologies, machine learning, or agentic AI tools to enhance financial analysis, forecasting, reporting, and decision-making.\nCustomer-facing or operational experience (e.g., restaurants, retail, etc.).\nDemonstrated curiosity and openness to innovative, AI-enabled approaches that improve financial analysis, forecasting, reporting, and decision-making.
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\nYou are a passionate engineer who thrives on solving complex technical challenges and is eager to shape the next generation of mechanical simulation tools. With a strong foundation in software development and AI, you are excited by the opportunity to blend agentic AI advancements with engineering simulation software.
\nDriving and implementing the integration of conversational AI capabilities into advanced mechanical simulation software tools.\nDesigning, developing, maintaining, testing, and documenting software modules,including APIs, backend, and frontend components.\nCollaborating closely with multidisciplinary teams to leverage shared technology components and ensure seamless integration.\nWriting clean, maintainable, and efficient code, adhering to industry best practices and coding standards.\nInvestigating and resolving technical issues reported by QA or product support, ensuring robust and reliable software performance.\nParticipating in bug verification, release testing, and beta support activities to guarantee product quality.\nStaying abreast of the latest agentic AI advancements, applying them to enhance existing systems or develop novel solutions.
\nAccelerate the integration of AI into Synopsys' new mechanical simulation tools, transforming user experience and functionality.\nDeliver high-impact, high-visibility AI solutions for a pioneering product line in the simulation and engineering domain.\nShape innovative tools that enable engineers and researchers to solve complex mechanical modeling problems more efficiently.\nContribute to the advancement of modeling through intelligent automation and conversational interfaces.\nDrive Synopsys' reputation as a leader in AI-powered engineering solutions, empowering customers across industries.
\nMS in Engineering, Computer Science, Natural Science, or a related field.\nAcademic, research, or industry experience in software development.\nProficiency in Python\nExperience with LLMs or generative AI techniques and agentic AI tools.\nExperience with additional programming languages such as Typescript, Go, or C++.\nFamiliarity with distributed computing technologies (micro-service architectures, RPC frameworks, REST, WebSocket APIs).\nExperience with containerization tools (e.g., Docker), CI/CD pipelines (e.g., GitHub), and web frontend frameworks (e.g., Angular, React) is a plus.\nBackground in Computer-Aided Engineering (CAE), Finite Element Analysis (FEA), Computational Fluid Dynamics (CFD), or CAD modeling is highly valued.
\nPassionate about understanding and solving complex problems with innovative technical solutions.\nSelf-driven with a continuous learning mindset and enthusiasm for emerging technologies.\nInquisitive, rigorous, and detail-oriented.\nExcellent communicator, fluent in English.\nAdaptable, able to work independently and collaboratively within distributed teams.
\nYou will join a collaborative, agile team dedicated to developing next-generation tools for pre- and post-processing of mechanical simulations. The team values excellence and continuous improvement, working together to achieve ambitious goals and deliver innovative solutions that redefine simulation software.
\nWe offer a comprehensive range of benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.
\nAt Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.
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\nDo you ever have the urge to do things better than the last time? We do. And it's this urge that drives us every day. Our environment of discovery and innovation means we're able to create deep and valuable relationships with our clients to create real change for them and their industries. It's what got us here – and it's what will make our future.
\nAs a Backend Software Engineer at Quantexa, you'll play a key role in shaping one of the most critical components of our Decision Intelligence platform: Decision Systems. The Decision Systems team is responsible for turning complex, interconnected data into meaningful insights — helping global organisations detect patterns, uncover risks, and make smarter decisions.
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\nRequirements
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