CRNCY (BZ) Limited
51 - 200 employees
💼 Consulting
🤝 B2B
💸 Finance
Consulting • B2B • Finance
CRNCY (BZ) Limited, pronounced Currency, is an investment holding company focused on building top tier businesses across medium-sized less competitive markets within the Commonwealth group of countries. Their mission is to develop the most efficient, well-run, and profitable companies within their management portfolio, specializing in business development, project management, information technology, and financial services.
Credit Decisioning Specialist, Latam – Contract
Job not on LinkedIn
🔥 0 minutes ago
🗣️🇪🇸 Spanish Required
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CRNCY (BZ) Limited
51 - 200 employees
💼 Consulting
🤝 B2B
💸 Finance
Consulting • B2B • Finance
CRNCY (BZ) Limited, pronounced Currency, is an investment holding company focused on building top tier businesses across medium-sized less competitive markets within the Commonwealth group of countries. Their mission is to develop the most efficient, well-run, and profitable companies within their management portfolio, specializing in business development, project management, information technology, and financial services.
📋 Description
• Analyze portfolio performance and identify opportunities to improve profitability through credit strategy • Model the probability of repayment, default and fraud from incomplete and alternative data, and build the statistical inference behind it • Turn that analysis into the credit rules themselves: approval strategy, underwriting requirements, first-loan sizing and customer segmentation • Optimize underwriting requirements and reduce unnecessary customer friction • Design and assess experiments to improve lending outcomes • Quantify trade-offs between growth, risk, customer experience and profitability • Translate analysis into practical underwriting and portfolio recommendations
🎯 Requirements
• Experience in at least one of: portfolio strategy or analytics, underwriting strategy, lending strategy, risk management, or another analytical role involving high-consequence decision-making under uncertainty • Used data and probabilistic reasoning to make or influence important business decisions • Evaluated trade-offs between competing objectives under uncertainty • Applied analytical judgment rather than relying solely on predefined rules or models • Translated analysis into practical business decisions and recommendations • Been accountable for the business outcomes of those decisions, not simply the quality of the analysis • Working capability, hands-on: statistical inference and probability; causal reasoning and selection bias; practical modeling — logistic regression, scorecards, gradient boosting — with clean validation discipline and no data leakage; experiment design and power; expected-value analysis; segmentation • Python and SQL at analysis-and-modeling level
🏖️ Benefits
• USD contractor • Fully remote, location-flexible, with meaningful daily overlap with the Americas • Real ownership from day one, across multiple markets
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