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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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As a Macro Research Analyst at xAI, you will play a critical role in analysing global economic forces and translating complex macroeconomic dynamics into actionable insights.

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You will track and interpret key economic indicators across regions, assess the implications of monetary and fiscal policy decisions, and evaluate how macro trends shape financial markets and risk conditions.

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This role sits at the intersection of economics, markets, and strategic decision-making.

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You will build forecasts and scenario analyses to understand how shifts in growth, inflation, interest rates, currencies, commodities, and geopolitics may affect asset prices and broader market regimes.

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Your work will inform top-down investment views and risk assessments, supporting global macro strategies driven by economic fundamentals rather than individual company analysis.

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The ideal candidate is intellectually curious, analytically rigorous, and comfortable working in a fast-moving, high-ownership environment.

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Consistent with xAI's flat organisational structure, you are expected to be hands-on, proactive, and able to communicate ideas clearly and concisely to a highly technical and motivated team.

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As a Macro Research Analyst, you will contribute directly to this mission by helping the organisation understand large-scale economic systems, feedback loops, and regime shifts that shape global outcomes.

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You will structure, analyse, and interpret macroeconomic data across countries and regions, transforming noisy and often incomplete information into coherent economic narratives and testable hypotheses.

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Your research will help identify causal relationships, constraints, and second-order effects within complex economic systems,insights that are essential for training, evaluating, and applying advanced AI models to real-world economic and financial questions.

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By developing forecasts, scenarios, and risk assessments, you will support xAI's efforts to reason about uncertainty, stress-test assumptions, and evaluate how shocks propagate through global markets and institutions.

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Clear communication of your findings will ensure that economic insights are effectively shared across teams, reinforcing xAI's emphasis on rigorous thinking, transparency, and collaborative problem-solving.

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In this role, macroeconomic research is not an end in itself, but a tool for advancing deeper understanding.

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Your work will help xAI build systems that reason more accurately about economic behaviour, policy trade-offs, and global dynamics,bringing us closer to AI that can meaningfully assist human decision-making at scale.

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The Macro Research Analyst will have broad responsibility for analysing global macroeconomic conditions and their implications for financial markets and strategic decision-making.

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The scope of the role spans data analysis, economic modelling, and synthesis of macroeconomic developments across multiple regions and asset classes.

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The role includes management of ongoing monitoring frameworks for key economic indicators, policy developments, and geopolitical risks.

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The analyst will be expected to independently identify emerging themes, develop forward-looking scenarios, and assess how macroeconomic shifts may alter market dynamics, risk exposures, and opportunity sets.

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The position requires close collaboration with internal stakeholders, with an emphasis on clear, concise communication of complex economic concepts.

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Given xAI's flat organisational structure, the analyst will operate with a high degree of autonomy and accountability, contributing directly to research outputs and strategic discussions rather than functioning in a narrow support capacity.

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The scope of the role is intentionally flexible, allowing a high-performing analyst to expand their responsibilities over time by taking ownership of new research areas, developing novel analytical frameworks, and influencing how macroeconomic intelligence is integrated into xAI's broader mission.

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Responsibilities:

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Monitor and interpret data such as GDP growth, inflation, unemployment rates, interest rates, fiscal/monetary policy, currency movements, commodity prices, and geopolitical events across countries or regions.

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Build economic forecasts, scenario analysis, and models to predict how macro forces will affect markets (e.g., how a central bank rate hike might impact equities, bonds, or currencies).

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Provide research reports, trade ideas, and recommendations to portfolio managers, traders, or clients. This often informs 'global macro' investment strategies, where decisions are driven primarily by top-down economic views rather than individual company fundamentals.

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Identify potential risks (e.g., recessions, currency crises, trade wars) and opportunities arising from economic shifts.

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Basic Qualifications:

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Strong academic background in economics, finance, mathematics, statistics, or a related quantitative field.

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Demonstrated experience in macroeconomic research, global macro investing, economic policy analysis, or a closely related role.

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Deep understanding of macroeconomic indicators and frameworks, including growth, inflation, labor markets, monetary and fiscal policy, exchange rates, commodities, and geopolitical dynamics.

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Experience building and interpreting economic models, forecasts, and scenario analyses to assess market and policy outcomes.

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Ability to synthesise large and complex data sets into clear, structured insights and actionable conclusions.

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Strong written and verbal communication skills, with the ability to explain complex economic concepts concisely to both technical and non-technical audiences.

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High level of intellectual curiosity and comfort working with uncertainty, incomplete information, and competing hypotheses.

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Self-directed, detail-oriented, and capable of operating effectively in a flat organisational structure with minimal oversight.

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Proven ability to prioritise effectively, manage multiple research streams, and deliver high-quality work under time constraints.

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Preferred Skills and Experience:

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3–7 years of experience post-doc.

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At least three publications in reputable economics journals (AER, QRE, JPE, Econometrica, etc.) or outlets (The Economist, The Wall Street Journal, Financial Times, etc.).

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Prior experience at a global macro hedge fund, asset manager, central bank, international financial institution, policy research organisation, or economic consulting firm.

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Strong familiarity with financial markets across multiple asset classes, including rates, FX, equities, and commodities.

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Experience producing investment-oriented research, including trade ideas, market commentary, or risk assessments tied to macroeconomic views.

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Proficiency with data analysis and modelling tools such as Python, R, MATLAB, or similar quantitative environments.

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Experience working with large economic and financial datasets and building repeatable research pipelines.

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Ability to evaluate tail risks, regime shifts, and non-linear dynamics in macroeconomic systems.

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Interest in applying macroeconomic reasoning to novel problems, including AI-driven applications.

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XML job scraping automation by YubHub

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About CODE

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Hebbia is an AI platform for investors and bankers that generates alpha and drives upside.

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As a Solutions Engineer - Partnerships at Hebbia, you will be the technical and strategic lead for activating our data and system partnerships in the field. You will operate at the intersection of partnerships, sales, and product , ensuring that Hebbia’s integrations with market data providers and fintech platforms translate into real, differentiated value during pre-sales and customer engagements.

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Responsibilities

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Own the technical strategy for partnership-driven deals, from discovery through close\nLead joint pre-sales motions with partners, activating integrations with market data providers, content platforms, and fintech systems\nDevelop a deep understanding of partner datasets, APIs, and system capabilities, and translate them into differentiated Hebbia solutions\nDesign and configure integrated AI-powered workflows that combine Hebbia with partner data and systems to create real-world value\nAct as the technical face of partnerships in the field, supporting co-selling, joint demos, and strategic accounts\nDeliver high-stakes integrated demos and solution narratives to senior stakeholders, showcasing cross-platform value\nIdentify gaps in integrations or positioning, and drive feedback loops to product and partnerships teams\nSurface risks early across multi-party deals, and align stakeholders to accelerate activation and deal progression\nEnable internal teams (Sales, Partnerships) with clear frameworks and best practices for positioning ecosystem value

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Requirements

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5+ years in a customer-facing technical role in complex enterprise environments (Solutions Engineering, Sales Engineering, Consulting, or similar)\nExperience working with market data, financial datasets, or fintech platforms (e.g., market data platforms, CRMs, virtual data rooms, portfolio monitoring tools, research platforms, or data infrastructure systems)\nStrong understanding of the financial technology ecosystem and how systems and data integrate across workflows\nComfortable driving partnership or ecosystem-led pre-sales motions, including joint solutions and co-selling\nAble to translate complex, multi-system environments into clear, structured solution strategies\nStrong executive presence with a bias for ownership in high-ambiguity, performance-driven environments

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What Success Looks Like in 6–12 Months

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You independently lead technical discovery, demos, and evaluations for partnership-driven opportunities, embedding partner data and systems into Hebbia solutions\nYou are a trusted partner to Sales and Partnerships, advancing deals by clarifying ecosystem value and strengthening joint solution narratives\nYou activate partnerships in the field, translating integrations into tangible customer outcomes across pre-sales and early deployments\nYou deliver integrated, high-impact demos that showcase Hebbia across market data, CRMs, and other fintech systems\nYou proactively identify risks across multi-system, multi-party environments and drive alignment on mitigation strategies\nYou meaningfully contribute to pipeline and revenue influenced by partnerships, improving win rates and deal velocity\nYou build reusable assets and playbooks that scale how Hebbia and partners position and deliver joint value\nYou provide structured feedback on integrations and ecosystem gaps, and are viewed internally as a go-to leader for partnership activation

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Why Hebbia

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Hebbia is redefining how teams work with complex information, turning unstructured data into clarity, speed, and confident decision-making. As a Solutions Engineer, you’ll sit at the center of that transformation, working directly with some of the most demanding and thoughtful buyers in the world.

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XML job scraping automation by YubHub

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