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GrabFinancial - Risk / Fraud Analyst, Singapore (21 Apr)










Company

GrabFinancial

Industry

Finance

Location

Singapore

Position Type

Risk / Fraud Analyst

Post Date

21 Apr 2019


Employer Description

Grab is more than just the leading ride-hailing and mobile payments platform in Southeast Asia. We use data and technology to improve everything from transportation to payments and financial services across a region of more than 620 million people. We work with governments, drivers, passengers, merchants, and the community, to solve critical problems in Southeast Asia.


Grab began as a taxi-hailing app in 2012, but we have since extended our product platform to include GrabCar, GrabShare, GrabBike, GrabHitch, GrabExpress, GrabFood, GrabCoach, GrabShuttle, GrabCycle. We recently launched our fintech platform – GrabFinancial, which consists of payments, lending and insurance. Our latest addition is GrabVentures, an in-house incubation platform. We are focused on pioneering new commuting and payment alternatives for drivers and passengers with an emphasis on convenience, safety, and reliability. Currently, we offer services in 8 countries. Our R&D offices are in Singapore, Seattle, Beijing, Bangalore, Jakarta and Vietnam. We aspire to unlock the true potential of Southeast Asia and look for like-minded individuals to join us on this ride.



Program Details

Get to know our Team:

At GrabFinancial we believe that upholding trust and integrity is at the heart of doing business with all our customers. GrabFinancial Risk team is a dynamic regional group that focuses on protecting transactions of millions of Grab customers across Southeast Asia. The team employs cutting-edge digital trust, customer-centric solutions, and expert talents from all across the industry to ensure fraud and abuse are kept outside the door.


Get to know the Role:

• Be an integral part of Grab Financial fraud prevention framework across Southeast Asia

• Optimise risk actions and processes to achieve highest customer acceptance while minimising losses.

• Perform data mining and research techniques to identify fraudulent behaviours.

• Create data-driven strategies to prevent or limit account take-over, credit card fraud, merchant risk, collusion schemes, syndicated fraud attacks.

• Perform forensics, deep dives, and forecasting, on various risk or business matters.

• Implement actions such as configurations and business rules.

• Report facts to seniors and managers in a clear, concise and factual manner.

• Provide inputs to relevant policies and procedures, as needed.

• Ensure necessary databases are available and maintained for research and regulatory purposes.




Requirements

• Problem-solving, positive and constructive attitude is a must.

• Comfort in dealing with ambiguity and operating in fast-changing, unstructured environments.

• Structured, factual and data-driven. Ability to deep dive into data and elaborate clear findings.

• Sound knowledge in e-payments and fintech, and related fraud, desired but not absolutely required.

• Proficient in RDBMS such as PostgreSQL or MySQL.

• Ninja level in Excel.

• Python / R is a plus.

• Meticulous attention to detail and double-checking as a second nature.

• Ability to work independently and to seek guidance when required.

• Hands-on experience with fraud detection tools e.g. scoring models and rules engines is a plus.

• Knowledge of credit card scheme rules and banking processes is a plus.

• Excellent verbal and written communication in English and ideally one local SEA language.




Application

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