Senior Data Scientist, Growth Risk

OKX • Full-time • Singapore, Singapore • 5d ago

Who We Are

At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.

About the Opportunity:

Unlock Your Potential:

Embark on a journey with one of the world's top cryptocurrency trading platforms. With over 50 million users spanning across 180+ countries, we're dedicated to delivering unparalleled user experiences.

Unprecedented Growth Opportunities:

Seize the opportunity to be at the forefront of the rapidly expanding cryptocurrency innovation. Join the ranks of the fastest-growing company in the industry and propel your career to new heights.

Collaborate with the Best:

Work alongside a dynamic team of industrial trailblazers and immerse yourself in a culture of creativity and collaboration, where your ideas are valued and your growth is nurtured. Together, we're shaping the future of finance through groundbreaking technological advancements, targeting a global community of over a billion users in the next couple of years.

Drive Innovation:

Harness your passion for technology and product innovation as we pioneer cryptocurrency-centric financial innovations. Join us in revolutionizing the way the world interacts with digital assets, empowering individuals and businesses worldwide.

What You'll Be Doing:

You will be in charge of conducting data analysis and data mining of risk control domains to uncover risk patterns and useful features, designing risk control solutions including strategies and machine learning models, implementing the solutions together with our engineering teams.

To understand business needs of stakeholders, especially in the risk control domain, and come up with end-to-end anti-fraud solution design that is effective, practical and robust in resolving business challenges.

To closely collaborate with data engineers, AI engineers and backend developers to timely implement and deliver the risk strategies/models as services.

To set up frameworks and SOP for risk control projects from data labelling, feature engineering, all the way to model/strategy evaluation and monitoring. To define success metrics for risk control products, design and conduct AB tests for performance evaluation, and implement monitoring mechanisms for performance tracking and anomaly detection.

To conduct research on applying cutting-edge techniques in the crypto industry and lead experiments on resolving real challenges.

What We Look For In You:

Strong foundation in data science, machine learning and AI, minimal 6 years experience as data scientist, machine learning engineer, data analytics, AI product manager or AI architect is required. Solid knowledge of statistics, traditional machine learning and deep learning techniques.

Experience in designing and building risk control products and strategies in crypto or financial or other IT industries.

Willing to working in a fast paced environment, with competing resources and priorities. Ability to navigate through ambiguity to advocate for resources.

Excellent written and verbal communications skills; ability to translate product solutions into clear and actionable plans for both developers and business owners.

High proficiency delving into the technical product, system and implementation details. Able to engage with engineering beyond just product and user experience needs; willing to roll up sleeves and design scalable and extensible solutions.

Data oriented - identifying, defining, tracking and acting upon impact metrics. Experience identifying KPIs and working with engineering and analytics on instrumentation and monitoring.

Rich experience of collaborating with cross functional teams to deliver complex projects with multiple dependencies and constraints in a highly dynamic environment.