Data Analyst (Risk Research) - Risk Analytics
Jakarta
Applications have closed
Gojek
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.If you’re looking to be a part of a dynamic, data-driven team and an opportunity to leverage your analytical skills at scale, look no further. Data Analyst (Risk Research) is an exciting new function within the Gojek Risk Analytics team. You will be working within a team of talented risk analysts to solve risk challenges such as fraud, abuse, physical safety and sabotage to make Gojek a safe and trusted platform. In particular, in collaboration with Risk Strategy and Risk Data Science teams, you will perform experiments, exploratory studies, data reviews, and work on new techniques for proactive risk detection and recommend solutions for their mitigation in a super app ecosystem.
What You Will Do
- Ask bold questions and test hypothesis regarding existence and prevalence of new risk, fraudulent and unsafe behaviors in the platform
- Act as a subject matter expert in understanding the variety and prevalence of user behaviors
- Design experiments, exploratory studies, and use advanced analytics to test key hypothesis about existence of risks, be a thought partner for statistically sound experimentation at Gojek Risk
- Own and run the agenda for developing new insights and influence risk solution roadmaps owned by Risk Strategy, Risk Engineering Platform and Risk Data Science
- Develop innovative analytical techniques and data science frameworks to detect abnormal behavior patterns by analyzing large datasets of user behavior and transactions
- Work with other members of Risk Analytics team to mine a large pool data to label bad actors and behaviors for modeling or analytics purposes
What You Will Need
- Higher education degree in quantitative disciplines or computer science
- Minimum 3-4 years of work experience in analytical, problem-solving roles within a fast paced environment (prior experience in risk management is preferred)
- In-depth knowledge of concepts related to experiment design, A/B testing, statistics, hypothesis testing, user behavior research, on-line experiments
- Adept at managing and using for analysis both structured & unstructured data, incl, sentiment analysis, network analysis, text mining, GPS signal analysis
- Expertise in using tools and languages such as Tableau, Google Data Studio, Python/R, SQL
- Exposure to cloud environments like GCP or AWS
- Excellent written & verbal English communication skills to effectively collaborate and exchange information across stakeholders of various backgrounds and levels
- Knowledge of handling analytics for a digital platform, such as digital payment, ride-hailing, food delivery or e-commerce will be a plus, but is not a prerequisite
Our objective as Gojek’s Risk Team is to ensure a safe and trusted platform that our users can trust, rely on, and love to come back to. To manifest that objective, we analyze suspected fraud cases and customer complaints and propose resolutions & SOP to improve Trust and Safety for all Gojek users. We use big data with human intelligence to make the best decision. For instance, team members will work with Risk managers and Business teams to detect potential risks on Gojek platform and develop logic and algorithm to accurately establish the ground truth of the risk types and modus operandi and work with risk managers to come up with solutions to prevent and mitigate losses and improve user experience.
Our Risk Analytics team currently consists of members based in Indonesia, India and Singapore and we’re a tight-knit group who are bonded by two things: Trust and Safety and personal growth and well-being. We work hard and play hard, and support each other. What drives us is our shared sense of Trust and Safety. Risk Analytics encompasses the following 4 areas: risk performance analytics, risk metrics and foresight, risk research, risk data assets.
About Gojek
Gojek is a Super App. It is one app for ordering food, commuting, digital payments, shopping, hyper-local delivery, and a dozen other products. We are Indonesia’s first decacorn. We are also the only Southeast Asian startup to be part of Fortune's list of 'Companies That Changed The World.'
Our Mission: To create and scale positive socio-economic impact for our customers, driver-partners, business, and MSMEs.
As of 2018, Gojek processed more than $9 billion in annualized gross transaction value across all markets where it operates - in Singapore, Vietnam, and Indonesia. We have the largest food delivery product in Asia (outside of China) and is the largest payments wallet in Southeast Asia.
Gojek contributed IDR 249 T to the Indonesian economy (equivalent to 2% of Indonesia's GDP in 2020). As of Q1 2021, the Gojek App witnessed over 190mn downloads by customers. The platform has over 2mn Driver Partners & ~900000 Merchant Partners across SEA.
About GoTo Financial
GoTo Financial brings secure, reliable, and user-friendly financial solutions to over 55 million monthly active users, more than 14 million merchants, and over 2.5 million driver-partners eager to benefit from the digital economy in the GoTo ecosystem.
GoTo Financial’s consumer services include GoPay, GoPayLater, and other financial services. We also serve businesses of all sizes through leading payment gateway Midtrans, Indonesia’s largest cloud POS network Moka and GoKasir. We also have the all-in-one merchant solution GoBiz, GoBiz Plus, GoStore, and Selly - available in Indonesia and Southeast Asia.
Gojek and GoTo Financial are committed to building a diverse and inclusive workplace and are equal opportunity employers. We do not discriminate on the basis of race, religion, national origin, gender, gender identity, sexual orientation, disability, age, education status, or any other legally protected status.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing AWS Big Data Computer Science Data Studio E-commerce Engineering GCP Python R Research SQL Statistics Tableau Testing Unstructured data
Perks/benefits: Career development Startup environment
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