Work location: Oversea
Salary:
Industry: IT - Software
Get to know our Team:
Risk team is in charge of protecting Grab Financial ecosystem of consumers, partners and merchants in Southeast Asia against fraudulent behaviours.
Get to know the Role:
Research internal and external data to identify fraudulent behaviours such as account take-over, credit card fraud, merchant risk, collusion schemes, syndicated fraud attacks as well as money laundering schemes.
Develop and maintain machine learning behavioural models to detect fraudulent behaviours.
Use statistics and anomaly detection to recognize fraudulent and abusive behavioural patterns and derive actions such as risk rule writing.
Optimise systems to achieve optimal conversion rate while keeping financial loss to a minimum.
Work in close collaboration with product teams to design / optimise fraud / ML prevention systems.
Act as risk science subject matter expert within the risk team.
Own risk data, ensure necessary databases are maintained for research and regulatory purposes.
Perform forensics, deep dives and root cause analysis on various fraud- or business-related matters.
The must haves:
Problem-solving, positive and constructive attitude is a must.
Comfort in dealing with ambiguity and operating in a fast-growing environment.
Excellent verbal and written communication in English and ideally one local SEA language.
Recognised experience in online payments is a plus.
A passion for data and insights.
Advanced data science skills, recognised experience in applied statistics and machine learning / data mining tools such as SQL, R, Python, SAS.
Advanced knowledge and experience in e-wallet / online payments abuse (account take-over, credit card fraud, merchant/buyer collusion fraud, money laundering...).
Advanced degree in statistics or related field (e.g. applied mathematics, quantitative economics, computer science, bioinformatics).
Hands-on experience with fraud detection tools e.g. scoring models and rules engines.
Structured, factual and data-driven. Ability to deep dive into data and elaborate clear and synthetic insights.
Meticulous attention to detail and double-checking as a second nature.
Grab Vietnam