{"id":1991901,"url":"https://alion.io/job/jeeves-senior-business-analyst-credit-analytics","title":"Senior Business Analyst, Credit & Analytics","company":{"id":1070,"name":"Jeeves","domain":"tryjeeves.com","url":"https://alion.io/company/jeeves","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":76,"open_postings":67,"ghost_share":0.313,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":106,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":{"label":"US time zones","utc_offset_min":-8,"utc_offset_max":-5},"hiring_geo_confidence":"structured","locations":["São Paulo, Brazil"],"countries":["BR"],"hiring_countries":["BR"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":35000,"max_usd":103000,"period":"year","method":"role_seniority_country_cell","sample_n":13},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"GitHub","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"ChatGPT","optional":true},{"name":"Claude","optional":true},{"name":"Metabase","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-10-07T05:07:36Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-11-02T15:13:31Z","board_verified":true,"closed_at":null,"days_open":26,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":26},"description":"Jeeves extends credit to thousands of businesses across Latin America and beyond, and the quality of those decisions depends on the quality of our data. Our Credit & Analytics team has a clear roadmap: reliable portfolio monitoring, better risk models, and more automated credit decisioning. All of it depends on first getting our data foundation right - connecting and maintaining external data sources and cleaning up customer data consents - and today that work competes with day-to-day execution for the same few people.\nWe're looking for a hands-on Senior Business Analyst to own that foundation and build on it. In your first months you'll lead the work to connect and validate external data (bureau, banking, open finance and tax data), clean up consent records so we can use that data reliably, and turn manual processes into repeatable ones. From there you'll use that data to shape credit policy: underwriting criteria, credit limit strategies, portfolio monitoring and early-warning signals that help us catch losses before they happen.\nThis is a senior individual contributor role for someone who likes to get into the data themselves. You'll partner closely with data science, engineering, product, collections and sales, and your work will directly shape how Jeeves makes credit decisions as we scale. It is not a people-management role today.\nLocation: This is a full-time remote position. #LI-REMOTE\nWhat You'll Do:\nData Foundation\nLead 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\n\nOwn the cleanup of customer data consents and connections so external data can be pulled and refreshed reliably and in line with local requirements\n\nReplace manual credit and portfolio processes with repeatable, documented SQL/Python workflows\n\nDefine data quality checks and documentation so the team can trust what it's looking at\n\nCredit Policy & Strategy\nUse internal performance and external data to develop and refine underwriting criteria and credit limit strategies\n\nDesign customer management strategies, including credit line increases, decreases and reinstatements\n\nIdentify high-risk customers early and build processes to mitigate losses\n\nPartner with Sales and Business Development so growth strategies stay consistent with Jeeves's credit policy\n\nPortfolio Monitoring & Collections Support\nDefine portfolio KPIs and build dashboards to track portfolio health and strategy performance\n\nBuild early-warning signals and monitoring routines that flag deteriorating accounts\n\nGive Collections the segmentation and prioritization insights they need to improve recovery\n\nContribute to loss forecasting and risk-adjusted return analysis with Finance\n\nModels & Automation\nApply statistical methods (logistic regression, segmentation, clustering) to uncover risk drivers and inform strategy\n\nDevelop, validate and monitor credit risk models\n\nHelp define the rules and data requirements for automated credit decisioning with Product and Engineering\n\nTranslate model results into clear recommendations for credit leadership and business partners\n\nWorking With AI\nUse AI tools to support your analysis, and verify their outputs against source data\n\nSuggest and help build improvements to our AI workflows as you see what works and what doesn't\n\nMinimum Requirements:\n3-7 years of analytics experience in credit risk, with hands-on work on commercial or SMB credit in cards, payments, lending or a related industry\n\nAdvanced SQL - you write your own queries against large, messy datasets and are comfortable validating data quality\n\nWorking proficiency in Python for analysis and statistical modeling (regression, segmentation, clustering)\n\nExperience with version control (e.g., GitHub) for sharing and maintaining code is a plus\n\nAble to work independently and take ownership\n\nDirect experience working with external or alternative data sources (bureau, banking, open finance, tax or similar), ideally including integrating or cleaning them\n\nExperience using AI tools such as Claude, ChatGPT or Gemini in your analytical work, and curiosity about using them more\n\nA track record of turning analysis into a credit policy or strategy change that was implemented, with measurable results\n\nClear written and verbal communication - you can explain a model result or data issue to a non-technical stakeholder\n\nProfessional fluency in English - Jeeves is a global company and English is the language we use internally to communicate between regions\n\nAble to work with meaningful overlap with Latin American business hours\n\nPreferred Qualifications\nKnowledge of Latin American credit data and open finance ecosystems (e.g., Mexico, Brazil, Colombia)\n\nExperience implementing, validating or monitoring risk and scoring models alongside data science teams\n\nExperience supporting collections strategy or early-warning programs\n\nExperience with visualization tools such as Tableau, Metabase, Claude Visualization Tools.\n\nFluency in Spanish and/or Portuguese\n\nExperience in a high-growth startup or 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