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Senior Business Intelligence Analyst - Risk

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, ultimately contributing to every individual's freedom. OKX began as a crypto exchange giving millions of people access to crypto trading and over time becoming among the largest platforms in the world. In recent years, we have developed one of the most connected Web3 wallets used by millions to access decentralized crypto applications (dApps). OKX is a trusted brand by hundreds of large institutions seeking access to crypto markets on a reliable platform that seamlessly connects with global banking and payments. In the last year, OKX has expanded into new markets including Australia, Brazil, Netherlands, Singapore and Turkey, with plans to launch in the US, Belgium and the UAE.
We are deeply committed to shaping a fairer, more transparent and accessible society through blockchain technology. This is why we publish proof of reserves monthly, and continue to ship new innovative security features.

 

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
  • 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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