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Macro & Credit Research Economist

United States, San Francisco 213600.00 - 296400.00 USD / Year · Job Posted February 04, 2026
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Job Description

As the Macro and Credit Research Economist, you will build and own macroeconomic and credit indicators derived directly from raw transaction data. You will develop forecasting models, identify economic turning points, and produce rigorous analysis that informs internal decisions and external research.

Job Responsibility

  • Work directly with large-scale, messy transaction data to build the transformations, filters, and statistical frameworks needed to extract reliable economic and credit-cycle signals
  • Develop forecasting models that quantify household financial conditions, credit dynamics, and broader economic trends, emphasizing real-world performance and interpretability
  • Identify leading indicators and turning points across liquidity, spending patterns, credit behavior, income stability, and other elements of household financial resilience
  • Build methodologies that detect changes in economic regimes and risk conditions based on high-frequency data
  • Produce rigorous backtests, scenarios, and real-time indicators that inform internal strategic decisions and external-facing research
  • Create investor-grade written analyses, dashboards, and periodic briefings that synthesize model outputs with clear economic context
  • Benchmark internal measures against official statistics and market expectations, highlighting where Plaid’s data provides differentiated early insight
  • Collaborate with product, policy, comms, and GTM teams to shape how selected findings inform data products, strategic narratives, and outreach

Requirements

  • PhD in Economics (macro, finance, monetary, applied micro) or an equivalent quantitative field
  • 4-8 years of applied experience in macro strategy, credit investing, systematic research, or consumer credit analytics
  • Strong econometric and time-series modeling skills, with experience linking micro data to macro outcomes
  • Proficiency in Python and SQL, with comfort working directly with large, noisy, high-frequency datasets
  • Ability to independently build data pipelines and handle raw transaction data, rather than relying on pre-curated macroeconomic datasets
  • Strong written communication skills suitable for investor and executive audiences
  • A practical, market-oriented approach focused on accuracy, robustness, and clear reasoning

Nice to have

  • Experience in hedge funds, asset management, credit investing, central bank research, or fintech risk teams
  • Familiarity with consumer credit behavior, household finance, and unsecured lending cycles
  • Track record of forecasting under uncertainty with measurable performance
  • Experience producing research or insights that influenced investment decisions or risk assessments

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