Who We Are
At OKX, we believe the future will be reshaped by technology. Founded in 2017, we are revolutionising world systems through our cutting-edge digital asset exchange, Web3 portal and blockchain ecosystems. We reshape the financial ecosystem by offering some of the most diverse and sophisticated products, solutions, and trading tools on the market. Trusted by more than 50 million users in over 180 countries globally, OKX empowers every individual to explore the world of Web3. With our extensive range of products and services, and unwavering commitment to innovation, OKX envisions a world of financial access backed by blockchain and the power of decentralized finance.
We are innovative in the way we think, work, and in the products we create. We are also socially responsible by actively participating and encouraging employees to take part in various public welfare activities. With more than 3,000 employees around the world, we believe embracing diversity and inclusion will spark the creation of long-term value for the industry. Come Build the Future with Us now!
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
