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.
What You’ll Be Doing
- Collect, clean, and preprocess large datasets to ensure data quality and reliability.
- Conduct exploratory data analysis to identify patterns, trends, and anomalies.
- Collaborate with risk-modeling, anti-fraud, policy, and other business stakeholders to deploy feature pipelines, and ETLs.
Statistical Analysis:
- Apply statistical methods to analyze data and extract meaningful insights for institutional clients.
- Develop and implement predictive models to support decision-making processes.
- Utilize programming languages such as Python,etc. for data manipulation, analysis, and visualization.
- Collaborate with cross-functional teams to integrate analytical solutions into business processes.
Business Intelligence:
- Interpret and communicate findings to non-technical stakeholders through reports, dashboards, and presentations.
- Collaborate with business units to understand analytical requirements and provide actionable recommendations.
- Monitor daily execution, diagnose and log issues, and fix business critical pipelines to ensure timelines are met with our internal stakeholders.
- Handling Ad-hoc analysis for risk related data request.
- Analyze new data sources and work with stakeholders to understand the impact of integrating new data into existing pipelines and models
What We Look For In You
- Bachelor's or Master's degree in a relevant field (e.g., Data Science, Statistics, Computer Science).
- Minimum of 5 years of hands-on experience in data analysis. Prior experience in crypto or traditional finance is preferred.
- Strong proficiency in Python programming languages is a must
- Proven track record of working with large datasets and performing complex analyses.
- Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses and action-oriented outcomes.
- Solid knowledge on data modelling (e.g. Random Forest model, Clustering, SVN and so on
- Strong attention to details and ability to notice discrepancies in data.
- Familiarity with business intelligence tools and data visualization techniques
Nice-To-Haves
- Experience with machine learning algorithms and techniques.
- Knowledge of database management and SQL.
- Ability to work independently and collaboratively in a fast-paced environment.
- Strong problem-solving skills and attention to detail.
Perks & Benefits
-
Competitive total compensation package
-
L&D programs and Education subsidy for employees' growth and development
-
Various team building programs and company events
-
More that we love to tell you along the process!
#LI-CZ1