Are you a Data Scientist with a ‘can do’ attitude and enthusiasm that inspires others?

　　Are you interested in pursuing a career working with credit applications, specifically in risk and fraud

　　About the Business

　　LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, risk.lexisnexis.com

　　About our Team

　　Our Risk Business Analytics family contains over 100 data scientists in fast-paced environment. We are innovators, passionate about challenging the status quo, and improving outcomes.

　　About the Role

　　This position exists to conduct both data handling and analytics/statistical modeling for credit application (risk and fraud).

　　Responsibilities

　　Collecting, aggregating, matching, consolidating, and confirming data across business units, ensuring quality and accuracy.

　　Identifying, researching, programming (Python and R), and analyzing data for accurate processing, focusing on designing solutions for assigned business areas.

　　Recommending process and system improvements aligned with business goals, enhancing overall efficiency.

　　Creating models and analytics for risk, fraud, and collections across sectors, both internally and for clients."

　　Developing scoring models, conducting statistical analysis, and providing code for production scoring validation. Clearly summarizing, documenting, and communicating analytic work/results to internal and external clients, and stakeholders.

　　Requirements

　　Have Bachelor’s degree in statistics, computer science, mathematics, actuarial science, engineering or other quantitative science.

　　Experience in data manipulation, cleansing, relational databases, and statistical modeling.

　　Have R or Python knowledge

　　Have intermediary English fluent in Portuguese. Spanish is nice to have.

　　Be an adaptable learner with a collaborative approach and excellent communication skills, adept at explaining technical outcomes to diverse audiences.

　　Learn more about the LexisNexis Risk team and how we work here (https://relx.wd3.myworkdayjobs.com/RiskSolutions/page/21c296c982531000b79663f3194b0000)

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　　At LexisNexis Risk Solutions, having diverse employees with different perspectives is key to creating innovative new products for our global customers. We have 30 diversity employee networks globally and prioritize inclusive leadership and equitable processes as part of our culture. Our aim is for every employee to be the best version of themselves. We would actively welcome applications from candidates of diverse backgrounds and underrepresented groups.

　　We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: https://forms.office.com/r/eVgFxjLmAK .

　　Please read our Candidate Privacy Policy (https://www.relx.com/careers/join-us/privacy) .

　　RELX is a global provider of information and analytics for professional and business customers across industries.

　　We help scientists make new discoveries, lawyers win cases, doctors save lives and insurance companies offer customers lower prices. We save taxpayers and consumers money by preventing fraud and help executives forge commercial relationships with their clients.

　　In short, we enable our customers to make better decisions, get better results and be more productive.