Macro & Credit Research Economist

Plaid • San Francisco, CA

7d

About The Position

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.

The Macro & Economic Insights team is responsible for translating Plaid’s unique, high-frequency transaction and balance data into rigorous, forward-looking insights about household financial health, credit dynamics, and the broader economic cycle. The team builds internal indicators, research outputs, and external-facing analysis that leverage Plaid’s data advantage to inform strategy, products, and market narratives.

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.

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 Haves

• 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

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree