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Senior Manager of Risk Data Science

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About the Role

As a Sr. Manager of Risk Data Science, you will lead a team of data scientists responsible for risk models which protect GoPay and its customers. You will have the opportunity to work with rich data to derive new intelligence and use various data science techniques.

You will drive strategic directions in your data science area and solve some of the most impactful and stimulating business problems in the payments space by partnering with leaders from Risk, product, and engineering. You will work in a fast-paced environment with direct impacts to the business.

What You Will Do

Lead a team of data scientists in conceiving, designing, and building cutting-edge risk models by combining data science/ML and business expertise
Partner with engineering, product, and business leaders to deliver shared objectives and key results
Champion innovation in data science/ML and influence product, infrastructure, and feature discussions
Serve as a data science/ML subject matter expert in the company and industry
Develop your team to be the next generation of data science experts

What You Will Need

Experience managing a team of data scientists and leading them to create risk and anti-fraud data science solutions.
Strong quantitative and problem-solving skills
Vast experience in data science/ML techniques and technology
Ability to break down and frame business problems into data science solutions Stretch thinker in pushing our data science and infrastructure to the next frontier
Communication skills to engage with senior and executive business stakeholders to understand their needs and effectively communicate the results of the analytical solutions
Ph.D. or Masters in a quantitative discipline and at least 12 years of relevant experience with a proven track record of developing impactful data science/ML solutions

About the Team

GoPay Data Science team builds critical ML components/models which go into the engineering systems which makes GoPay a safe, trusted and fun way to do payments. Our team members come from varied backgrounds, and use a wide set of skills (including mathematics, statistics, machine learning, and deep learning) to solve some of the toughest business problems in GoPay. We are enthusiastic about data science and its impacts on the business. We believe in growing together as a data community by promoting numerous internal forums for sharing, discussions, and presentations.

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.

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