Risk Policy Analytics Manager
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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.
The Risk Policy team is responsible for developing risk strategy for our products and business flows, including both fraud risk and credit risk, tracking industry leading technical prevalence, adopting innovative and state-of-art methodology to tackle the new challenges emerging from fintech industry, for the purpose to protect sustainable growth and maximize business outcomes.
We are looking for an experienced risk professional to own the end to end risk policies and response for key loss metrics while maintaining a positive user experience.
Responsible for external data sourcing and implementation, including related risk policy design and optimization
Real-time monitoring of online risk policies and handling of abnormal problems, formulate and maintain the SOPs, and ensure the stability of online business
Key data vendor management and communication.
Major in Math, Statistics, Computer Science or related majors
Experience in risk policy analysis above 2-3 years. Experience in credit card industry is preferred.
Familiar with data analysis tools such as SQL, R, Python, SAS
English communication skills
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 integrity – Integrity is at the very core of our business. We do not discriminate against any employee or applicant based on their gender, age, sexual orientation, nationality, marital status, pregnancy/maternity, disability, race, religion and beliefs, or any other status protected by applicable laws wherever we operate.
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.