Company

FinTech

CollectionAnalyst

$275–425k ~AI est. Ciudad de México, Mexico FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“Collection Analyst. Skills: Collections analytics, Recovery strategies, SQL, Python. Design collection strategies. Optimize collection strategies”

Industry & Context.

FinTech
Problems you'll solve

Analytical thinking; Problem-solving capabilities

What They're Looking For.

Must Have

2–5 years analytical experience, Collections analytics experience, Advanced SQL knowledge, Hands-on Python experience, Production dashboards in Power BI, Experimentation methodologies knowledge, A/B testing knowledge, Collections performance metrics knowledge, Manage initiatives end-to-end, Analytical thinking, Problem-solving capabilities, Advanced English, Advanced Spanish

Nice to Have

Build predictive models, Build segmentation frameworks, Build scoring models, Build uplift analysis, Use AI tools, Knowledge of dialer technologies, Knowledge of collections operations tooling, Familiarity with Mexican credit regulations, Bash scripting experience, Operational automation experience, Master's degree, MBA

What You'll Do.

Design collection strategies

Optimize collection strategies

Improve recovery performance

Drive analytical initiatives

Translate insights into improvements

Manage initiatives end-to-end

How You'll Work.

Team & Collaboration

Partner with Risk; Partner with Operations; Partner with Tech; Partner with Collections stakeholders

Full Job Description

#### About the Company We are a fast-growing startup transforming access to credit through innovative point-of-sale (POS) lending solutions. Our platform enables merchants to offer seamless financing options to customers, driving sales growth while improving financial inclusion. #### Role Overview We are looking for a highly analytical and proactive Collection Analyst to join our Risk (Customer Value Management) team. This role will focus on designing and optimizing collection strategies, improving recovery performance, and driving analytical initiatives across the collections lifecycle. The ideal candidate combines strong analytical skills with experience in consumer lending environments and is comfortable working with experimentation, automation, and large datasets. You will partner closely with Risk, Operations, Tech, and Collections stakeholders to translate insights into scalable operational improvements. ## Requirements #### Requirements * 2–5 years of experience in analytical roles within Collections, Credit Risk, Portfolio Management, Consumer Lending, Fintech, Banking, Credit Cards, BNPL, or SOFOM environments * Strong experience working with collections analytics and recovery strategies * Advanced SQL knowledge, including data structures, optimization, indexes, execution plans, and partitioning * Hands-on experience using Python for analysis, automation, and workflow optimization * Experience building production dashboards and reporting solutions in Power BI * Solid understanding of experimentation methodologies, A/B testing, and collections performance metrics * Ability to independently manage initiatives end-to-end in fast-paced environments * Strong analytical thinking and problem-solving capabilities * Advanced English and Spanish (English is required as part of daily collaboration) #### Preferred Qualifications (Nice to Have) * Experience building simple predictive models, segmentation frameworks, scoring models, or uplift analysis * Active use of AI

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