Senior Data Analyst - Risk (Food & Consumer)

Gojek (Jakarta, Jakarta, Indonesia)

DKI Jakarta, Indonesia

Gojek is Southeast Asia’s leading on-demand platform and a pioneer of the multi-service ecosystem model, providing access to a wide range of services including transportation, food delivery, logistics and more. Gojek is founded on the principle of leveraging technology to remove life's daily frictions by connecting consumers to the best providers of goods and services in the market. The company was first established in 2010 focusing on courier and motorcycle ride-hailing services, before launching its app in January 2015 in Indonesia. Since then, Gojek has grown to become the leading on-demand platform in Indonesia, with additional operations in Vietnam and Singapore. The Gojek platform now comprises over 2.5 million driver partners across the region. Gojek is part of the GoTo Group, the largest digital ecosystem in Indonesia, consisting of Gojek, Tokopedia and GoTo Financial. Gojek is dedicated to solving the daily challenges faced by consumers, while improving the quality of life for millions of people across Southeast Asia, especially those in the informal sector and micro, small and medium enterprises (MSMEs). The Gojek application is available for download via iOS and Android.

About this position

As the Senior Risk Analyst for Food & Consumer Risk you will be part of a team that identifies Risk problems and leads end-to-end solutions for all Gojek’s operating countries. You will be protecting Gojek from fraud losses, while at the same time protecting Gojek’s Consumers’ experience and safety at the platform.

Responsibilities

• Identify new fraud emerging trends/patterns and recommend solutions both at the strategic and tactical levels, balancing the business vision and the practicality of implementations
• Assess, validate, and optimize risk rules to ensure best outcomes and to meet stipulated risk target metrics
• Identify risk assessment from products, systems, processes and recommend possible preventive measures
• Influence roadmaps of partner teams, including the wider Risk organization, Data Science, Engineering, Product Management, Mobility business, Operations and Finance
• Identify and predict blockers, conflicts and risks to projects across multiple teams and seek solutions to drive timely execution

Requirements

• At least 4 years of experience in analytical, problem-solving roles in a fast-paced environment (prior experience in fraud/risk domain is preferred)
• Strong project management skills on collaborating with multiple stakeholders and product managers to improve processes and products to reduce the overall risk of departments
• Strong analytical skills with the ability to collect, organize, analyze and disseminate significant amounts of information with attention to detail and accuracy and present them clearly and coherently to various stakeholders
• Ability to work independently, take quick decisions & recommend effective solutions on a day-to-day basis - always backed by strong data points
• Skills of extracting insights from large data sets with the help of SQL, BigQuery, Python, R, etc., and experience with visualization tools like Tableau, DataStudio, etc
• Excellent written & verbal communication skills focused on improving collaboration, knowledge, and information exchange across various stakeholders
• Being exposed to building statistical models using both unsupervised & supervised learning algorithms is a plus