FREE ACCESS
5,000–10,000 jobs/day

See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Tech Stack
Tools & technologiesSQL
About the role
Key responsibilities & impact- Work with large volumes of data, structuring and analyzing information to solve complex business problems;
- Conduct analytical studies to identify causes of delinquency, churn and loss of profitability, proposing data-driven solutions with direct impact on results;
- Develop and implement strategies to mitigate credit risk and improve recovery, combining exploratory analyses, predictive models and action plans (quick wins and structural initiatives);
- Analyze customer behavior and key drivers of loss, proposing retention solutions and optimization of collections offers;
- Develop, validate, implement and monitor statistical and machine learning models (e.g., propensity, risk, recovery), ensuring continuous performance tracking;
- Act on multidisciplinary projects, connecting data, technology and business;
- Present insights clearly and coherently, using data visualization and storytelling without sacrificing technical rigor;
- Serve as the team's primary technical reference, influencing strategic decisions and promoting an analytical culture;
- Develop a deep understanding of credit and collections products to translate business challenges into scalable solutions.
Requirements
What you’ll need- Degree in quantitative fields (such as Engineering, Statistics, Mathematics, Economics, Computer Science or related) and strong experience in applying data analysis to business;
- Advanced proficiency in programming languages (such as SQL and Python) and experience working with large datasets;
- Analytical thinking, strong communication skills, good interpersonal relationships, proactivity, flexibility, critical thinking and a sense of urgency;
- Ability to translate complex results into clear, simple diagnoses, with storytelling skills to explain concepts objectively and concisely;
- Knowledge of statistics and predictive modeling;
- Ability to work autonomously with a strong results orientation and focus on business impact.
- **Differentials:**
- Experience in credit, collections or modeling within financial institutions;
- Knowledge of Resolution 4.966;
- Knowledge and experience using generative AI tools (e.g., GPT, Copilot, Claude, etc.) applied to data analysis, automation of analytical tasks and insight generation.
Benefits
Comp & perks- No-cost health plan + Telemedicine;
- No-cost dental plan;
- Meal and food allowance (Vale Refeição and Vale Alimentação);
- Life insurance;
- Funeral assistance;
- Private pension plan;
- Competitive annual variable compensation (bonus);
- PPR – Profit Sharing Program;
- Único Skill (free education benefit);
- Bike parking and locker rooms;
- Childcare assistance;
- Internet allowance;
- Wellness programs;
- On-site clinic;
- Pregnancy support program;
- Extended maternity and paternity leave;
- Copay exemption for pregnant employees and babies up to 1 year;
- Personalized baby kit;
- Dr. BMG – Telepsychology + Telemedicine + Nutritionist + Nurse and Physical Educator, extended to dependents;
- PAP – Financial, legal and psychological advisory program;
- Gympass/Wellhub – Discounted gym memberships;
- Pharmacy discounts;
- Fresh fruit every day;
- Birthday day off;
- Flexible dress code;
- Hybrid work model.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analysisSQLPythonstatistical modelsmachine learning modelspredictive modelingdata visualizationcredit risk mitigationcollections optimizationexploratory analysis
Soft Skills
analytical thinkingcommunication skillsinterpersonal relationshipsproactivityflexibilitycritical thinkingsense of urgencystorytelling skillsautonomyresults orientation
