Demonstrate domain impact with metrics
Overview
This question evaluates a data scientist's ability to quantify domain impact with measurable KPIs, ensure data quality and governance, coordinate cross-functional stakeholders, and address regulatory and trade-off considerations in financial services.
EY
Oct 13, 2025, 9:49 PM
Data Scientist
Technical Screen
Behavioral & Leadership
0
0
Behavioral Prompt: Impactful Initiative in Financial Services (Data Science)
Context
You will describe a high-impact initiative you delivered in banking, capital markets, insurance, or asset management. Emphasize quantifiable business outcomes, the data and controls behind them, and how you navigated regulatory and stakeholder constraints.
Prompt
Describe the most consequential initiative you delivered. Include:
- Business KPI moved: name the KPI (e.g., NIM, loss ratio, VaR, STP rate, AUM churn), the baseline, your target, and the realized delta.
- Data sources: the internal and external datasets you used and how you ensured data quality.
- Stakeholders: who you worked with (front office, risk, operations, compliance, model risk, audit) and each role's contribution.
- Regulatory constraints: which regulations or policies shaped your design (e.g., CCAR, SOX, GDPR, SR 11-7, AML/KYC) and how you complied.
- Hardest trade-off: the key trade-off you navigated (e.g., risk vs growth, accuracy vs explainability, automation vs controls) and your rationale.
- Hindsight: one decision you would change and why.
Tip: Open with a 1–2 sentence headline that quantifies the outcome, then give a concise, structured walkthrough.
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