Support commercial teams in understanding new fraud problems and implement statistical models that align with business needs by studying client requirements, tool usage flows, and offender profiles;
Continuously improve existing models to make the good even better;
Help demonstrate our value to prospective clients;
Combine high-quality proof-of-value studies with fast delivery, addressing the demands and specificities of each segment;
Stay continuously updated on new fraud prevention practices and data analysis technologies.
Requirements
Experience developing algorithms and using modeling and machine learning techniques;
Familiarity with modeling explanatory events such as fraud, credit, churn, etc.;
Strong knowledge of statistical concepts: probability theory, sampling techniques, and the main estimators and their properties;
Proficiency in Python and SQL, or other data manipulation and/or statistical analysis software;
Practice in code optimization, standardization, and GIT versioning;
Ability to explain technical concepts clearly and didactically;
Ease in understanding negotiation dynamics and business perspective;
Bachelor's degree completed.
Benefits
Profit Sharing (PLR);
Meal allowance or food allowance;
Childcare assistance for children up to 4 years and 11 months;
Life insurance;
Gympass;
Sesc;
Alelo multi-benefit card (discounts on purchases across the partnered network, including medications at various pharmacy chains);
Medical and dental coverage with Bradesco.
Theater classes;
Educational policy for undergraduate and graduate studies;
"Eu Saudável" program (health and wellness follow-up);
"Primeiros Laços" program (gestational care/support);
Extended maternity and paternity leave;
Personal and professional development talks.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.