Head of Credit Strategy & Risk Analytics

Careers at Remitly Nicaragua

Arlington (VA)

Vor Ort

USD 192.000 - 240.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Benefits dieser Stelle

Flexible paid time off
Health, dental, and vision + 401k with
Paid parental, medical, military and #

Zusammenfassung

Remitly is seeking a Head of Credit Strategy - Lending to shape lending strategy, manage credit risk, and deliver customer value. You will own underwriting policies across acquisitions and management, and build analytics capabilities including AI/ML-based underwriting and real-time portfolio monitoring.

You will lead a team, define KPIs, model LTV/NPV, establish governance, collaborate with Product, Marketing and Engineering, and drive risk-aware experimentation.

Qualifikationen

  • 10+ years in strategy and analytics driving financial decisions.
  • 5+ years leading consumer lending strategies using model-based segmentation.
  • 5+ years in portfolio credit risk monitoring and NPV/LTV evaluation.
  • 2+ years partnering with Finance on CECL reserve modeling.

Aufgaben

  • Define and refine credit underwriting strategies for lending products.
  • Lead development of AI/ML-based underwriting models and pricing.
  • Set KPIs for risk outcomes, economic returns, and portfolio resilience.
  • Architect real-time monitoring for portfolio health and KRIs.
  • Drive governance, reporting, and escalation for credit risk.
  • Mentor Credit strategy managers and analysts.

Kenntnisse

Strategy & analytics leadership
Credit risk analytics
SQL
Python/R

Ausbildung

Bachelor's degree in a quantitative field (Math/Statistics/Engineering/Economics)
Advanced degree a plus

Tools

Python
R
SQL

Jobbeschreibung

Remitly is seeking a Head of Credit Strategy - Lending to shape lending strategy, manage credit risk, and deliver customer value. You will own underwriting policies across acquisitions and management, and build analytics capabilities including AI/ML-based underwriting and real-time portfolio monitoring.

You will lead a team, define KPIs, model LTV/NPV, establish governance, collaborate with Product, Marketing and Engineering, and drive risk-aware experimentation.

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