Fraud Analyst - III

4 days ago

Apply Now

Receive Emails with Similar Jobs

Kueski

WebsiteLinkedInAll Job Openings

Fintech • Finance • Development • technology • data

501 - 1000

💰 $23.3M Venture Round on 2022-10

Description

• About Kueski • At Kueski, we're dedicated to improving the financial lives of people in Mexico. Since 2012, we've been the leading buy now, pay later (BNPL) and online consumer credit platform in Latin America, known for our innovative financial services. • Our flagship product, Kueski Pay, provides seamless payment solutions for both online and in-store transactions, establishing itself as the preferred option for a quarter of Mexico's top e-commerce merchants. Notably, we were the first to introduce BNPL on Amazon Mexico. • We're a tech company with a culture geared toward innovation, collaboration, and impact, fostering a strong, diverse, and inclusive company culture. In 2023, Kueski was recognized as the top BNPL platform by Fintech Breakthrough and earned the title of one of Mexico's most ethical companies from AMITAI. Additionally, we ranked as one of the Best Companies for Female Talent by EFY. • Purpose • Analysis of the behavior of the portfolio to define credit approval and fraud prevention strategies for the different credit products, such that business growth expectations are achieved, taking care of the level of losses, profitability, and optimal operating cost. Collaborate with multifunctional teams in the definition and implementation of analytical projects, infrastructure, and various control measures aligned with the established risk appetite.

Requirements

• Graduate from one of the following majors: Engineering, Mathematics, Actuary, Economics or similar • More than 3 years of experience in analytical areas with proven experience in database management via Python, SAS, SQL and Tableau • At least 2 years of experience in analysis related to consumer credit risk behavior and financial fraud prevention • Knowledge of analytical techniques for fraud prevention, consumer credit risk analysis, segmentation techniques and project management • Strong analytical skills, and knowledge of statistical and financial tools • Analysis of information available in databases via SQL queries, Athena, Python, Tableau/Databricks and Excel • Knowledge of fraud prevention and credit risk issues with consumer credit products • Advanced English • Operation of Data Sources and experience interpreting analytical tools associated with fraud prevention • Understanding fraud and consumer credit risk metrics

Benefits

• We have a mission-driven culture focused on customer value, teamwork, humility, and integrity • Everyone is expected to have role clarity, career growth, and a personal development plan. Feedback and recognition are embedded in our company processes, systems, and practices • We ensure competitive salary, medical insurance, and wellbeing through ample and flexible time off as well as mental healthcare benefits • Everyone is an owner and eligible for competitive stock options with a company poised for success. We're committed to building an inclusive and diverse team and we know this leads to incredible work