Senior Credit & Analytics Data Strategist - Remote

Jeeves

México

Remote

MXN 900,000 - 1,400,000

Full time

4 days ago

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Job summary

Jeeves is seeking a Senior Business Analyst to own data foundation for credit decisions, connecting external data sources, cleaning consent records, and turning manual processes into repeatable SQL/Python workflows. You will shape underwriting criteria, credit limits, and portfolio monitoring, working with data science, engineering and product teams to scale risk controls.

You will build dashboards, define KPIs, and develop early-warning signals for losses, collaborating with Finance and Sales

Qualifications

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 — you write your own queries against large, messy datasets and are comfortable validating data quality
Working proficiency in Python for analysis and statistical modeling (regression, segmentation, clustering)
Experience with version control (e.g., GitHub) for sharing and maintaining code is a plus
Able to work independently and take ownership
Direct experience working with external or alternative data sources (bureau, banking, open finance, tax or similar), ideally including integrating or cleaning them
Experience using AI tools such as Claude, ChatGPT or Gemini in your analytical work, and curiosity about using them more
A track record of turning analysis into a credit policy or strategy change that was implemented, with measurable results
Clear written and verbal communication — you can explain a model result or data issue to a non-technical stakeholder
Professional fluency in English — Jeeves is a global company and English is the language we use internally to communicate between regions
Able to work with meaningful overlap with Latin American business hours

Responsibilities

Lead the integration and validation of external data sources — credit bureaus, bank and open finance data, tax and financial data — partnering with engineering on pipelines and data quality
Own the 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 so the team can trust what it's looking at
Use internal performance and external data to develop and refine underwriting criteria and credit limit strategies
Design customer management strategies, including credit line increases, decreases and reinstatements
Identify high-risk customers early and build processes to mitigate losses
Partner with Sales and Business Development so growth strategies stay consistent with Jeeves's credit policy
Define portfolio KPIs and build dashboards to track portfolio health and strategy performance
Build early-warning signals and monitoring routines that flag deteriorating accounts
Give Collections the segmentation and prioritization insights they need to improve recovery
Contribute to loss forecasting and risk-adjusted return analysis with Finance
Apply statistical methods (logistic regression, segmentation, clustering) to uncover risk drivers and inform strategy
Develop, validate and monitor credit risk models
Help define the rules and data requirements for automated credit decisioning with Product and Engineering
Translate model results into clear recommendations for credit leadership and business partners
Use AI tools to support your analysis, and verify their outputs against source data
Suggest and help build improvements to our AI workflows as you see what works and what doesn't