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Senior Internal Audit Data Analyst

New York, United States

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 Team

The Group Internal Audit function at OKx is responsible for providing the Board and senior management with independent, objective, risk-based assurance, advice and insight. Data is at the heart of our systematic and disciplined approach to evaluating and improving upon the effectiveness of the Group's governance, risk management and internal controls.
Our team consists of talented audit, risk, compliance and data professionals who are based across our global offices.

About the Opportunity

The successful candidate will have prior data analytical or modeling experience in the financial services or Fintech industries. You will be comfortable in both acquiring and analysing varying quantities of data from a variety of sources and have a desire to understand, critically evaluate and drive insight from it.
You’ll work closely with the Head of Audit - Data Analytics & Innovation to develop solutions for the Internal Audit team to make the best use of data to assess audit risk, drive understanding of process and control effectiveness and deliver value adding insight.
We are looking to innovate the use of data in our audits and embed it at the heart of our audit proposition.
At your core, you’ll thrive in a fast-paced, collaborative, process-driven environment and be able to adapt and adjust plans on-the-fly. You must also have strong prioritization skills and willingness to roll up your sleeves to get the job done. Most importantly, you’ll be focused on achieving outcomes - making a significant contribution to growing and evolving our data analytics capabilities.

 

What You'll Be Doing:

  • Facilitate the acquisition of data for audit purposes working across the business to understand requirements, identify available information and executing extraction of data (including evolving processes to be repeatable)
  • Design and implement analytics strategies to convert data into actionable risk, process and control insight
  • Build and automate key performance dashboards and metrics reporting for all audited processes to display insights and provide transparency about our customers and our platform
  • Map all required data points to understand the current data architecture and seek improvements, where necessary
  • Assist in defining, and developing deep insights and root cause analysis for our audit teams
  • Assist in the design, development and maintenance of a suite of analytics tools and techniques in support of audit execution and operational effectiveness
  • Craft machine learning and predictive models to drive intelligent product features
  • Collaborate across product, engineering, data science, marketing, business development, finance and our customers to help build and continuously improve the data pipeline
  • Hone your skills on data visualization to create and maintain automated dashboards

 

What We Look For In You:

  • BA/BS in Statistics, Computer Science or a related technical field or equivalent practical experience
  • At least 3-5 years of experience in analytics or closely related field
  • A strong intuition for crafting raw data and analysis into well-written and persuasive content
  • Expertise in SQL and knowledge of cloud data environments e.g. AWS
  • Familiarity with Excel, Power BI, Tableau, Looker, or similar reporting tool
  • Strong interpersonal skills, with an emphasis on teamwork, initiative, and integrity
  • Comfort with working in a fast-paced environment, handling multiple priorities simultaneously

 

Nice to Haves:

  • Experience with scripting and analysis languages (Python, R)
  • Experience working in an audit, risk or compliance function
  • Understanding of Chinese-Mandarin (speaking and writing)
  • Industry or educational experience in text mining, information retrieval, knowledge extraction, and building knowledge graphs
  • Experience of product development and prototyping

 

Highlights of Perks and Benefits:

  • Market competitive total compensation package
  • 100% company paid individual medical, dental, & vision insurance coverage
  • Training & Development Reimbursement
  • PTO, company paid holidays, and flexible hours
  • UberEats Program
  • Parental Leave
  • Employee Referral Bonus Program
  • Company Donation Match
 

OKX Statement:

OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
 
  • The salary range for this position is $143,000 - $257,000
  • The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site.

 

 

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