Senior Business Analyst, Credit & Analytics

Job not on LinkedIn

🔥 1 minute ago

🇦🇷 Argentina – Remote

⏰ Full Time

🟠 Senior

🧐 Business Analyst

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Jeeves

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Jeeves is a financial platform offering streamlined solutions for global finance management. It allows companies to issue cards, send payments, and manage expenses through an all-in-one platform available in over 25 countries globally. By integrating various financial services, Jeeves increases efficiency and saves costs for businesses traditionally burdened by disjointed financial systems. With offerings such as international fund transfers, competitive FX rates, expense management, and direct accounting integrations, Jeeves enhances operational capabilities across multiple currencies and regions. Although not a bank, it partners with licensed banks and financial institutions to provide these services.

📋 Description

• Lead integration and validation of external data sources, including credit bureaus, bank and open finance data, and tax and financial data • Own cleanup of customer data consents and connections for reliable, compliant data access and refreshes • Replace manual credit and portfolio processes with repeatable, documented SQL/Python workflows • Define data quality checks and documentation • Develop and refine underwriting criteria and credit limit strategies using internal and external data • Design customer management strategies, including credit line increases, decreases, and reinstatements • Identify high-risk customers and build loss-mitigation processes • Partner with Sales and Business Development to align growth strategies with credit policy • Define portfolio KPIs and build dashboards tracking portfolio health and strategy performance • Build early-warning signals and monitoring routines for deteriorating accounts • Provide Collections with segmentation and prioritization insights • Contribute to loss forecasting and risk-adjusted return analysis with Finance • Apply statistical methods such as logistic regression, segmentation, and clustering • Develop, validate, and monitor credit risk models • Help define rules and data requirements for automated credit decisioning with Product and Engineering • Translate model results into recommendations for credit leadership and business partners • Use AI tools to support analysis, verify outputs against source data, and improve AI workflows • Partner with data science, engineering, product, collections, and sales; this is an individual contributor role, not a people-management role

🎯 Requirements

• 3–7 years of analytics experience in credit risk, with hands-on work on commercial or SMB credit in cards, payments, lending or a related industry • Advanced SQL; ability to write queries against large, messy datasets and validate data quality • Working proficiency in Python for analysis and statistical modeling, including regression, segmentation, and clustering • Experience with version control such as GitHub is a plus • Ability to work independently and take ownership • Direct experience with external or alternative data sources, ideally including integrating or cleaning them • Experience using AI tools such as Claude, ChatGPT, or Gemini in analytical work • Track record of turning analysis into an implemented credit policy or strategy change with measurable results • Clear written and verbal communication with non-technical stakeholders • Professional fluency in English • Ability to work with meaningful overlap with Latin American business hours • Knowledge of Latin American credit data and open finance ecosystems is preferred • Experience implementing, validating, or monitoring risk and scoring models alongside data science teams is preferred • Experience supporting collections strategy or early-warning programs is preferred • Experience with visualization tools such as Tableau, Metabase, or Claude Visualization Tools is preferred • Fluency in Spanish and/or Portuguese is preferred • Experience in a high-growth startup or fintech is preferred