Develop credit decision models that consider Sicredi's various customer segments, strategies and products;
Implement, together with the technology team, the models developed by the credit decision team;
Monitor, review, recalculate and calibrate models when appropriate;
Produce studies and new proposals on credit decisioning and collateral topics, understanding member profiles, products and stages of the credit cycle;
Collaborate with different product teams, assisting with analysis and new data/insight perspectives;
Interact with the various roles involved in data and systems processes (analysts, engineers, data scientists and business analysts);
Maintain the necessary documentation for your deliverables and communicate results;
Continuously develop your technical skills.

Bachelor's degree in a quantitative field such as Statistics, Mathematics, Physics, Accounting and Actuarial Sciences, Engineering, Economics, Computer Science or related areas;
Experience with statistical modeling applied to the credit market;
Strong writing skills, ability to synthesize information and communicate effectively;
Experience with programming languages such as R, Python, Spark and SQL;
Hands-on experience in data analysis, monitoring indicators/KPIs and conducting ad-hoc studies;
Knowledge and practical experience in the credit market;
Intermediate English skills preferred.

Fixed 14th and 15th salaries;
Profit-sharing / results participation (depending on seniority);
Health and dental plans without co-pay;
Wellness programs via Wellhub (formerly Gympass) including nutrition, psychology, occupational health, massage, running groups and local gym access;
Meal and food allowance with flexible percentage allocation between VA/VR cards, no co-pay;
Extended maternity and paternity leave;
Childcare or nanny assistance for children up to 6 years and 11 months;
Support for children with disabilities, no age limit;
Life insurance;
Private pension plan with up to 7% salary contribution;
Training platform — Sicredi Aprende — offering a variety of courses;
40-hour workweek — using a time bank system;
Remote work allowance (except for positions that are 100% on-site).

Data Scientist Mid/Senior – Focus on Credit Granting and Collateral

Key skills