SR RISK ANALYST

RecargaPay is the Super App that simplifies everyday payments for consumers and SMEs in Brazil.
The platform streamlines payments for over 6 million Brazilians by consolidating credit and debit cards, instant payments like Pix, and Open Finance, on a mission to democratize mobile payments and financial services in Brazil.
Featuring services such as bill payments, mobile top-ups, public transportation, installment plans, and loans, designed with convenience, low cost and flexibility in mind.
RecargaPay is changing the way both banked and unbanked Brazilians make their everyday payments and access their financial services.
This professional will be responsible for supporting fraud prevention strategies, focusing on monitoring and analyzing operational security indicators.
We are looking for someone skilled in transforming data into strategic insights and assisting in critical decision-making to continuously improve monitoring processes and systems, including monitoring performance, rules, predictive models, and other risk factors.
This role requires technical expertise in SQL and/or Python and the ability to work collaboratively with other areas of the company.
Responsibilities.
Collaborate with various Fraud Prevention, Product (Fraud Squad), and Data teams to identify opportunities for continuous improvement.
Conduct proactive data analysis to identify new threats and improvement opportunities, supporting the development and implementation of strategic and operational solutions to enhance fraud monitoring systems and processes continuously.
Track, monitor, and regularly report on key performance indicators (KPIs), identifying anomalies and proposing solutions to mitigate risks.
Contribute to the development of predictive models, rules, and monitoring strategies that directly impact the performance and effectiveness of fraud prevention operations.
Update and validate operational reports and dashboards, ensuring the accuracy of reported information.
Proven experience in Fraud Prevention, with a focus on data analysis and risk mitigation strategy development.
Experience in developing rules for fraud prevention engines, with the ability to create and optimize monitoring processes.
Expertise in SQL and Python, with experience handling large data volumes and developing analytical solutions.
Advanced knowledge of data visualization tools such as Databricks, Qlik Sense, and Tableau.
Strong analytical skills, proactivity, and effective communication to operate in a dynamic and collaborative environment.
Bachelor's degree in Technology, Engineering, Statistics, Mathematics, or related fields.
Medical and Dental assistance without co-participation; Life insurance; Flexible Meal voucher - Flash; TotalPass; Home office assistance - monthly deposit in the RecargaPay app for personal use; Spanish classes; Educational partnerships; Discount in Universities for Undergraduate, Graduate and MBA courses; Anywhere office - work from wherever you want.
Diversity & Inclusion Diversity is part of our DNA and we are in constant search for representativeness and evolution.
We believe that our employees should be who they are, and that is what makes them unique in their roles - regardless of gender, religion, disabilities, LGBTQI+, ethnicity, generations and different experiences.
And we are looking for people who are authentic and free to co-create a more inclusive and innovative company and society.
Does it sound like you? The use of your Data The candidate, when sending the curriculum with personal and professional data to participate in RecargaPay's recruitment and selection process, is aware that the data will be used for the necessary analysis and validations throughout the recruitment process and for hiring, if necessary, as well as authorizes RecargaPay to share the curriculum data with other companies in the RecargaPay group in case opportunities arise in line with the candidate's profile.
In compliance with Law , LGPD - General Data Protection Law, the candidate may ask for the updating, rectification and modification of his information during the recruitment and selection process, or, still, request the non-use of the data under the terms applicable law.