Sr. Data Analytics Engineer - Compliance (Senior/Business Analysis Manager)

OKX • Full-time • Hong Kong, Hong Kong SAR • 4m ago

OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa.

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

We are seeking a highly skilled Sr. Data Analytics Engineer (Senior/Business Analysis Manager) to join our progressive data team. This role involves designing and managing our data architecture to support our growing needs for robust, scalable, and secure data operations. As a Data Architect at OKX, you will play a pivotal role in shaping our data infrastructure, focusing on optimizing data flow and storage for real-time and batch-processing data systems.

What You’ll Be Doing

Serve as a data analytics engineer expert, providing insights to support financial crime operations and enhance the effectiveness of compliance detection and monitoring systems.
Analyze vast datasets to identify trends, patterns, and potential financial crime indicators, enhancing the effectiveness of detection and monitoring systems.
Designing robust features to support advanced analytics and machine learning models.
Collaborate with cross-functional teams, including legal and regulatory departments, to ensure that operations adhere to industry regulations and standards.
Participate in Anti-Money Laundering (AML) risk assessments and audits, contributing to the identification and mitigation of compliance risks within the organization.
Communicate findings, compliance-related metrics, and data-driven insights to stakeholders, including senior leadership and compliance officers.
Assist in optimizing data workflows and processes to improve the accuracy and efficiency of compliance reporting and monitoring.
Stay informed on advancements in data analytics, compliance practices, and trends in the financial services industry.

What We Look For In You

5-8 years of experience in data analytics, data engineering or a related role, with exposure to compliance or financial services.
Hands-on experience with big data and cloud technologies such as Hadoop, Hive, MaxCompute, Google BigQuery, or equivalent platforms is essential.
Strong knowledge of SQL, Spark or equivalent and distributed computing frameworks (e.g., Hadoop)
Proficiency in data analytics tools and languages such as Python or equivalent.
Experience in building and maintaining dashboards using tools like Tableau, Amplitute, Qlik Sense, or similar platforms.
Strong analytical and problem-solving skills, with the ability to draw insights and make strategic recommendations based on data.
Familiarity with AML and regulatory compliance concepts, and the application of analytics to support these areas.
Excellent communication skills and the ability to present complex data findings to stakeholders, including compliance teams and senior leadership.
Collaborative and adaptable mindset, thriving in fast-paced and dynamic work environments.
A proactive, self-motivated approach with a commitment to continuous learning and development.
Knowledge of the crypto industry and related regulatory requirements, including experience with licensing and audits, is a plus, but not a requirement.