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This is a medium difficulty Machine Learning question, commonly asked during Technical Screen rounds at Citibank.

What role is this question designed for?

This question is commonly asked for Data Scientist candidates at Citibank during technical interviews.

Identify top exposures and mitigate | Citibank Interview Question

Q: Identify top exposures and mitigate

This question evaluates a data scientist's competency in credit portfolio risk identification, quantitative stress testing, concentration analysis, and designing mitigation strategies using loan-level data and scenario analysis.

Portfolio Risk Identification and Mitigation Proposal

Context

You are evaluating a commercial/corporate lending portfolio. Assume you have loan-level data with: obligor ID, sector/industry, region, facility type, exposure at default (EAD), probability of default (PD, 12m), loss given default (LGD, downturn), maturity, collateral type and loan-to-value (LTV), rate type (fixed/floating), coupon/spread, covenant quality score, rating, and historical performance. You can run simple stress scenarios (e.g., GDP −2%, rates +300 bps, CRE prices −20%).

No raw dataset is provided; make reasonable, clearly stated assumptions. Use small numeric examples to justify your decisions.

Task

Identify the top five risk exposures in the portfolio (e.g., single-name concentration, sector/geography, collateral/LTV risk, covenant risk, interest-rate sensitivity, refinancing walls, FX mismatch, etc.).
For each exposure, propose specific mitigation actions (e.g., collateral adjustments, covenants, limits, hedging, pricing changes, sell-down/participations, risk transfer).
Justify each recommendation with quantitative and qualitative evidence (e.g., EL/UL/EC contributions, stress impacts, concentration indices, industry outlook), including formulas or small numeric examples where helpful.
State any assumptions and describe how you would validate the effect of your mitigations (monitoring, backtests, scenario checks).

Context

No raw dataset is provided; make reasonable, clearly stated assumptions. Use small numeric examples to justify your decisions.

Task

Identify the top five risk exposures in the portfolio (e.g., single-name concentration, sector/geography, collateral/LTV risk, covenant risk, interest-rate sensitivity, refinancing walls, FX mismatch, etc.).

For each exposure, propose specific mitigation actions (e.g., collateral adjustments, covenants, limits, hedging, pricing changes, sell-down/participations, risk transfer).

Justify each recommendation with quantitative and qualitative evidence (e.g., EL/UL/EC contributions, stress impacts, concentration indices, industry outlook), including formulas or small numeric examples where helpful.

State any assumptions and describe how you would validate the effect of your mitigations (monitoring, backtests, scenario checks).

Identify top exposures and mitigate

Quick Overview

Portfolio Risk Identification and Mitigation Proposal

Context

Task

Solution

Comments (0)

Identify top exposures and mitigate

Quick Overview

Portfolio Risk Identification and Mitigation Proposal

Context

Task

Solution

Comments (0)