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
Plaid Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Plaid and has not been reviewed or approved by Plaid.
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Fair & Transparent Compensation — Pay is described as competitive to strong for many roles, with total compensation often positioned toward the high end for tech. The biggest determinants of satisfaction are framed as level, team, and the cash-versus-equity mix.
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Healthcare Strength — Healthcare coverage is positioned as comprehensive, with explicit support for fertility and mental health. This breadth is repeatedly emphasized as a standout part of the overall package.
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Leave & Time Off Breadth — Time-off is presented as flexible or “unlimited,” alongside an expectation that people take time away. Additional structures like company-wide breaks and potential sabbatical offerings are also referenced as part of time-away support.
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What We Do
Plaid is used by thousands of digital financial apps and services like Betterment, Expensify, Microsoft and Venmo, and by many of the largest banks to make it easy for consumers to connect their financial accounts with the apps and services they want to use. Plaid connects with over 11,000 financial institutions across the U.S, Canada and Europe. At Plaid, we have diverse backgrounds and skills, but we're all passionate about building a more efficient and inclusive financial infrastructure—together.







