Credit Decisioning Specialist, Latam – Contract

CRNCY (BZ) Limited

Credit Decisioning Specialist at CRNCY analyzing data to optimize credit risk and underwriting rules. Remote role facilitating impactful lending decisions in alternative data contexts.

Posted 8/1/2026contractRemote • BelizeMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in portfolio strategy, underwriting, and lending analytics, utilizing statistical inference and probability to drive business decisions. Proficient in translating complex analyses into actionable credit strategies and recommendations that enhance profitability and customer experience.

Highest-signal resume keywords

Portfolio StrategyStatistical InferencePythonSQLExperiment Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Probability ModelingLogistic RegressionScorecardsGradient BoostingCausal ReasoningExpected-Value AnalysisSegmentationData AnalysisAnalytical JudgmentTrade-Off Evaluation

Soft Skills

Decision-MakingAnalytical ThinkingProblem-Solving

Industry Keywords

Credit StrategyUnderwriting RequirementsLending OutcomesRisk ManagementCustomer Segmentation

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

USD contractor
Fully remote, location-flexible, with meaningful daily overlap with the Americas
Real ownership from day one, across multiple markets