Senior Business Analyst, Credit & Analytics

Job not on LinkedIn

🔥 0 minutes ago

🇧🇷 Brazil – 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 so external data can be pulled and refreshed reliably and in line with local requirements • 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 • 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 to track portfolio health and strategy performance • Build early-warning signals and monitoring routines • 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 help improve AI workflows • Partner with data science, engineering, product, collections and sales; individual contributor role with no current people-management responsibility

🎯 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, including querying large, messy datasets and validating data quality • Working proficiency in Python for analysis and statistical modeling, including regression, segmentation and clustering • Experience with external or alternative data sources such as bureau, banking, open finance or tax data, ideally including integration or cleaning • 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 • Professional fluency in English • Ability to work with meaningful overlap with Latin American business hours • Ability to work independently and take ownership • Clear written and verbal communication • Knowledge of Latin American credit data and open finance ecosystems is preferred • Experience implementing, validating or monitoring risk and scoring models 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

🏖️ Benefits

• Full-time remote position