Job Description

RESPONSIBILITIES:

● Acute business sense, deeply understand the business model, transaction flow, and payment system. Discovery the potential risk point, work closely with product manager, engineer, and operations to design data pipeline and risk strategy framework.

● Lay the groundwork – hypothesize as an individual researcher and in collaboration with other team members on how to solve fraud problems. ● Perform data preparation activities, such as collecting, cleaning, and organizing.

● Produce clear, understandable visualizations, dashboard and reports to share with Senior Management and business partners, provide the insightful story from the data perspective to risk policy owners.

● Establish a holistic risk modeling framework for addressing the risk of fraud and financial abuse across riders, drivers, merchants, and affiliates.

● Deep dive into data through systematic and ad hoc analyses and build machine learning models to score the identity, behavior, reputation and other risk characteristics of the customers.

● Communicate Results on a regular basis to stakeholders around the world, including executive leadership.

QUALIFICATIONS:

● Master degree (Ph.D. is a plus) in Statistics, Mathematics, Computer Science, Engineering or a similar Quantitative field, or equivalent practical experience.

● 2+ years of related industry experience.

● Strong modeling skillset, hands on mastery of data manipulation and experience with data analytics tools (SQL, R, Python, Hive, Spark, and other data analysis packages).

● Experience working in payments fraud or credit risk modeling is desired but not mandatory.

● Knowledge of the latest ML techniques like decision tree, random forest is a plus, but not a requirement.

● Creative problem solving and critical thinking skills.

●  Fluency in both English and Chinese

Company Description

About us: Didi Chuxing (“DiDi”) is the world’s leading mobile transportation and convenience platform! The company offers a full range of app-based transportation and life services for over 550 million users across Asia, Latin America, Australia, and Russia, including Taxi, Express, Premier, Luxe, Bus, Designated Driving, Enterprise Solutions, Bike Sharing, E-bike Sharing, Automobile Solutions, Food Delivery, and Payment. Tens of millions of drivers who find flexible work opportunities on the DiDi platform provide over 10 billion passenger trips a year. DiDi is committed to collaborating with policymakers, the taxi industry, the automobile industry, and communities to solve the world’s transportation, and environmental, and employment challenges with localized smart transportation innovations by leveraging its AI capabilities. By continuously improving user experience and creating social value, DiDi strives to build a safe, inclusive, and sustainable mobile transportation and convenience ecosystem for cities of the future. For more information, please visit: www.didiglobal.com/news