Lead Data Scientist

About Fazz Financial Group Fazz Financial Group is a digital financial services group founded in 2016. It is based in Southeast Asia, and is the holding group for over 10 FinTech startups, which includes PayFazz, Xfers, Modal Rakyat, StraitsX, and others. Fazz Financial Group’s mission is to enable financial access for everyone, especially within Southeast Asia, where 70% of its population is underserved. Fazz Financial Group has headquarters in Singapore and Indonesia, with 600 staff spread across regional offices in Malaysia, Taiwan, and Vietnam. We are proud to be local and knowledgeable about the region, giving an intimate understanding of Southeast Asia’s financial needs. As a local group born and bred in Southeast Asia, companies within Fazz Financial Group are among the first Indonesian startups, and one of the many Singaporean startups to be seeded by the prestigious Y-Combinator programme. We are backed by  both global and local investors including Insignia Venture Partners, B Capital, BRI Ventures, and many others.  We know how important our mission is to improving the livelihoods of millions of people in Southeast Asia. That's why we're looking for passionate and driven people to join us to accelerate financial access for everyone. Head to our website to get to know us better: https://fazzfinancial.com/
About the Team
FFG’s newly-formed data science team focuses on leveraging data to create solutions for an inclusive financial ecosystem in Southeast Asia to improve the lives of millions. In FFG, data science is the key to a safe and easy-to-use all-in-one financial platform for our users. The team’s scope includes many aspects of the business, including areas related to customer onboarding, financial profiling, risk assessment, fraud detection and prevention, customer service, etc. We aim to build a platform that opens up a wide range of financial services to all our users while simultaneously protecting them as well as our business from the ensuing risks.

Roles and Responsibilities

• The team will research and apply data science techniques to create solutions for the challenges faced by the business. We will combine expertise from multiple disciplines of data science, including graph analytics, computer vision, anomaly detection, etc. to create our solutions. Key projects that the Lead will initially focus on include creating credit scoring models for loan products, creating models to assess user and transaction fraud, etc.
• You will lead a team of data scientists and machine learning engineers, and work closely with other members of the data, engineering, and product teams to develop data science solutions for the business. These solutions will often take the form of machine learning models that are deployed to production, but may at times be delivered in different ways. Some tasks that you will work on include:
• Work with other stakeholders to understand the problem(s) to be solved, and translate them into projects for the data science team to tackle
• Lead the team to explore data and generate insights for a defined problem
• Research the latest approaches and technologies, and work with the team to apply them to the problem at hand
• Experiment with different machine learning models, design experiments to test the effectiveness of the models, and work with the relevant stakeholders to carry out the experiments
• Lead machine learning engineers to deploy models into production and create mechanisms to track the models’ online performance
• Work with machine learning engineers and data engineers to develop platforms for developing and productionizing machine learning models in an efficient manner

What we’re looking for

• BS/MS Degree in Math, Statistics, Computer Science, or Engineering
• At least 2 years of hands-on experience with machine learning model development in python, preferably have deployed and maintained such models in production
• Experience and deep understanding of SQL, Python programming, and Machine learning models such as random forests, gradient boosted trees or neural networks.
• Have developed models using one or more of the common machine learning frameworks such as XGBoost, CatBoost, LightGBM, Pytorch, Tensorflow, Scikit-learn, etc.
• Knowledge and experience in at least one of the following areas credit scoring, fraud detection
• Thrive in a collaborative environment

Nice to haves

• Experience with Graph Analytics
• Relevant experience in Payments, Retail or Consumer Financial Services
• Familiar with Google Cloud Platform

We love reviewing all the applications we receive, but unfortunately, we may not be able to get back to everyone individually.  If we’d like to move forward with your application, we’ll definitely be in touch!
Fazz Financial Group is an equal opportunity employer. Individuals seeking employment at Fazz Financial Group will be considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, or any other characteristic protected by applicable laws.
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