Senior Data Analyst, Institutional Data at OKX

Hong Kong Island, Hong Kong, China -

Full Time

Start Date

Immediate

Expiry Date

21 Dec, 25

Salary

0.0

Posted On

22 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Exploration, Statistical Analysis, Programming Proficiency, Business Intelligence, Continuous Improvement, SQL, Python, Data Modelling, Communication Skills, Data Visualization, Predictive Models, Exploratory Data Analysis, Large Datasets, Process Improvement, Automation, Mandarin

Industry

IT Services and IT Consulting

Description

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. What You'll Do Data exploration and pre-processing Conduct exploratory data analysis to identify patterns, trends, and anomalies. Collect, clean, and preprocess large datasets to ensure data quality and reliability 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. Programming Proficiency: 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. Solid knowledge on data modelling (e.g. Random Forest model, Clustering, SVN and so on) 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. Continuous Improvement: Stay abreast of industry trends and advancements in data analysis techniques. Identify opportunities for process improvement and automation within the analytics workflow. 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 SQL and Python programming languages Proven track record of working with large datasets and performing complex analyses. Excellent communication skills in English, with the ability to convey technical concepts to non-technical stakeholders. Fluent in written and spoken Mandarin and English for liaising with counterparts in Mandarin speaking markets. Familiarity with business intelligence tools and data visualization techniques. 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! Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX's Candidate Privacy Notice.

Responsibilities

The Senior Data Analyst will conduct exploratory data analysis, collect and preprocess large datasets, and apply statistical methods to extract insights for institutional clients. They will also collaborate with cross-functional teams to integrate analytical solutions into business processes.