Analista Pleno de Políticas de Crédito / Crédit Business Analyst
Stone - Linkedin · Sao Paulo, Sao Paulo, Brasil
Posted about 3 months ago
or apply directly on Stone - Linkedin's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 76 days Stone - Linkedin's roles stay open a median of 65 days
- Reposted
- No
- Salary listed
- No 0% of Stone - Linkedin's roles list one
- Ghost-job risk at Stone - Linkedin
- high 407 stale, 12 reposted of 412 open
- Hiring momentum
- 786 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-22
Measured from postings appearing on and disappearing from Stone - Linkedin's own greenhouse board since 2026-08-03. Full hiring picture for Stone - Linkedin.
About this role
The Analista Pleno de Políticas de Crédito will work within the Credit team at Stone, focusing on data analysis and credit policies. Responsibilities include extracting and structuring data, building financial models, designing data architectures for experiments, and providing analytical mentorship. The role requires collaboration across various teams to ensure data integrity and effective decision-making in credit management.
- benefits
- 5/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Stone - Linkedin as an employer.
What you need
- Experience in data extraction and manipulation using SQL
- Familiarity with Databricks and associated languages (Python, PySpark, R or Scala)
- Ability to connect operational metrics and data patterns with financial impact
- Strong interest or experience in credit, risk, or financial products
- Good communication skills in a matrix structure
Nice to have
- Degree in STEM fields (Engineering, Computer Science, Statistics, Mathematics, Physics)
- Experience with alternative data (Open Finance, transactional behavior) for modeling
- Practical experience in building monitoring pipelines for A/B testing
What you get
- Fixed salary
- Variable compensation package (PLR, ILP or Commission)
- Health and dental plan with co-participation
- 24/7 telemedicine service
- Medication subsidy
- Meal and/or food allowance
Worth weighing
- No specific salary figures mentioned
- The role involves significant data manipulation and quantitative analysis, which may not appeal to all candidates
- The position requires strong collaboration across teams, which may be challenging for some
- Vague details on eligibility rules for benefits may require clarification during the hiring process
Summarised from Stone - Linkedin's posting. Read the full original.
Listed by Stone - Linkedin on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.
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