Company Overview DiDi Global Inc. is the world’s leading mobility technology platform. It offers a wide range of app-based services across markets including Asia-Pacific, Latin America and Africa, including ride hailing, taxi hailing, chauffeur, hitch and other forms of shared mobility as well as auto solutions, food delivery, intra-city freight, and financial services. DiDi provides car owners, drivers, and delivery partners with flexible work and income opportunities. It is committed to collaborating with policymakers, the taxi industry, the automobile industry and the communities to solve the world’s transportation, environmental and employment challenges through the use of AI technology and localized smart transportation innovations. DiDi strives to create better life experiences and greater social value, by building a safe, inclusive and sustainable transportation and local services ecosystem for cities of the future. For more information, please visit: Team Overview The Risk Management team is responsible for managing diversified risk and operation affairs associated with our products and business flows, ranging from payment risk, fraud risk, credit risk to compliance and security risk, tracking industry leading technical prevalence, developing innovative and state-of-art methodology to tackle the new challenges emerging from fintech economy ecosystem, for the purpose to protect sustainable growth and maximize business outcomes. We are looking for an experienced risk investigation operation to investigate the fraud cases and dealing with the risk account and response for key loss metrics while maintaining a positive user experience. Role Responsibilities Creation and monitoring of BRDs for making new data sources available. Creation and maintenance of dashboards based on the needs of the Risk Ops team Conduct complex assessments in order detect risky behaviors in the portfolio and propose improvements and new rules with the goal of reducing the false positive rate. Ensure the correct functioning of the set of preventive rules in the portfolio. Liaison for china team regarding data and business intelligence Ensure you have all the necessary data sources for day-to-day operations Role Qualifications Handling large volumes of data for at least 3 years Fluent coder in SQL, Python and/or R Experience using data visualization tools as Tableau, Power BI, Looker Studio or similars. Previous experience in constructing analytical indicators to measure risk exposure. Knowledge of models such as graphs, decision trees, and K-means is desirable. Previous experience in a financial institution doing analytics. Fraud prevention experience desirable Time schedule flexibilty EEO Statement We create customer value – We strive to always create valuable experiences for our users in everything we do. Our focus is to always innovate new experiences that are safe, pleasant, and efficient. We are data-driven – We are strong believers in making informed decisions, that’s why we are data-driven. We can better navigate the business landscape strategically by analyzing valuable metrics. We believe in Win-win Collaboration – Success is a team sport. When we work to help our partners and colleagues win, we win, too. While keeping everyone's best interest at heart, we communicate with candor and execute with excellence in all we do. We believe in integrity – Integrity is at the very core of our business. We are people who always want to do the right thing. Our intentions are sincere, we speak our minds and listen to each other. We always strive to do better. That means venturing beyond our comfort zones, learning from our mistakes, and helping each other grow. We believe in Diversity and Inclusion – Diversity is one of our biggest strengths. Our differences are what makes us distinct. We respect each other and believe in equal opportunities for all. We are committed to building inclusive and diverse teams, and a workplace that is free from discrimination and harassment, because that’s how we create better products and services, make better decisions and better serve the communities we’re a part of. #J-18808-Ljbffr
Data Scientist & Bi Risk Management
DIDI-GLOBAL-
ciudad de méxico, ciudad de méxico
Publicado hace 24 días
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