Responsibilities:
- 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.
Qualifications:
- 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.
Preferred Qualifications:
- Preferred 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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