Data Scientist – Focus on Credit Pricing

Sicredi

Data Scientist focusing on developing and monitoring credit pricing models at Sicredi. Collaborating across teams to enhance credit strategies with data insights.

Posted 6/15/2026full-timePorto Alegre • 🇧🇷 BrazilMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

PythonSparkSQL

About the role

Key responsibilities & impact

Develop new credit pricing models, taking into account different member segments, strategies, assumptions and Sicredi products;
Implement, together with the product team, the models developed by the credit pricing team;
Monitor, review, recalculate and calibrate models when appropriate;
Propose methodological and automation improvements for cost and elasticity models;
Produce studies and new proposals on credit pricing topics, understanding member profiles, products and stages of the credit cycle, providing insights for credit strategy or new deliverables and presenting them to the relevant stakeholders;
Collaborate with different product teams, supporting analysis and new data/information perspectives;
Interact with the various roles in the data process (analysts, engineers, scientists and business analysts);
Maintain the necessary documentation for your deliverables;
Continuously develop technically, interacting with other Credit Cycle scientists, both learning and teaching;
Present models to Credit Cooperatives and other CAS areas, highlighting the impacts of their use.

Requirements

What you’ll need

Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Economics, Accounting and Actuarial Sciences, Engineering or related areas;
Experience with statistical modeling applied to the credit market;
Strong writing, summarization, presentation and communication skills, using language appropriate to the target audience;
Experience with programming languages and tools such as Python, Spark, SQL and SAS;
Hands-on experience in data analysis, monitoring KPIs and developing ad-hoc studies;
Knowledge and practical experience in the credit market;
Knowledge of finance;
Intermediate English is desirable;
Experience in pricing is a plus.

Benefits

Comp & perks

Fixed 14th and 15th salaries;
Profit-sharing (based on seniority);
Health and dental plans with no co-payment;
Well-being programs via Wellhub (formerly Gympass), including nutrition, psychology, occupational health, massage, running groups and local gym access;
Meal and food vouchers with flexible percentage allocation between cards (VA/VR), no co-payment;
Extended maternity and paternity leave;
Childcare or nanny allowance for children up to 6 years and 11 months;
Allowance for children with disabilities, no age limit;
Life insurance;
Private pension plan up to 7% of salary;
Training platform – Sicredi Aprende, with a variety of courses;
40-hour workweek — using a time bank system (bank of hours);
Work-from-home allowance (except for positions that are 100% on-site).

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Hard Skills & Tools

statistical modelingdata analysiscredit pricing modelscost modelselasticity modelsKPI monitoringad-hoc studiesfinance knowledgeprogramming languagespricing experience

Soft Skills

writing skillssummarization skillspresentation skillscommunication skillscollaborationinterpersonal skillsteachinginsight generationstakeholder engagementmethodological improvement