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OKX

Senior Compliance Data Scientist

Posted 14 Days Ago
Be an Early Applicant
Singapore
Mid level
Singapore
Mid level
The Senior Compliance Data Scientist will leverage data analytics to improve Financial Crimes operations, develop predictive models, ensure regulatory compliance, and enhance data processes. This role includes collaboration with legal teams and participation in AML risk assessments, requiring a strong background in data science and compliance.
The summary above was generated by AI

OKX will be prioritising applicants who have a current right to work in Singapore, 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 Data Architect 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

  • Serves as a Data Science subject matter expert and provides advice for Financial Crimes operations related to utilizing Data Analytics to improve detection scenarios and assist in uncovering networks and supporting investigations.

  • Utilize advanced data analytics techniques to analyze large datasets and identify trends, patterns, and insights related to compliance issues.

  • Develop predictive models and algorithms to forecast compliance risks and proactively address potential issues.

  • Collaborate with the legal and regulatory team to ensure adherence to industry regulations and standards.

  • Participate in AML risk assessments and audits, assisting in the identification and mitigation of AML risks across the organization.

  • Communicate product vision, strategy, and roadmaps to stakeholders, including senior leadership and customers.

  • Contribute to the optimization of existing data processes and workflows to improve efficiency and accuracy.

  • Conduct market research and competitor analysis to stay up-to-date on industry trends and advancements.

  • Stay up-to-date on industry trends and advancements in data science and AML practices.

What We Look For In You

  • Minimum 4 years of experience in data science, analytics, or a related role, preferably with exposure to compliance or financial services.

  • Strong skills in Python, SQL, or similar programming languages.

  • Knowledge of machine learning techniques and model development is a must.

  • Familiarity with applying analytics techniques on AML and regulatory compliance concepts.

  • Excellent problem-solving and analytical thinking skills.

  • Ability to work collaboratively in a fast-paced, dynamic environment.

  • A proactive and self-motivated approach, with a willingness to learn and grow.

  • Deep understanding of the crypto industry, including experience with crypto license implementation and regulatory audit is a plus.

 

Perks & Benefits
  • Competitive total compensation package

  • L&D programs and Education subsidy for employees' growth and development

  • Various team building programs and company events

  • Wellness and meal allowances 

  • Comprehensive healthcare schemes for employees and dependants 

  • More that we love to tell you along the process!


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Top Skills

Python
SQL

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