Sr Data Scientist – Fraud Risk

OKX

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!
 
About the Opportunity
This is a highly-impactful role at one of the fastest-growing global cryptocurrency exchanges. The Data Scientist, Risk will offer a strategic perspective, deep analytical and modeling capabilities, and a collaborative working style. The right candidate will have strong intellectual curiosity and passion for achieving business results.
An ability to quickly define the problem, research and leverage state-of-the-art modeling techniques, and provide timely recommendations will be essential. Key skills will include a strong analytical mindset, deep understanding of most popular machine learning algorithms and lead key initiatives with integrity and a passion for investigations, problem solving, and troubleshooting.
 
What You’ll Be Doing:
  • Identify complex fraud patterns and their technical root causes through detailed data mining and analysis, including identification of sophisticated fraud methods employed by actors who are deliberately trying to avoid detection.
  • Serve as technical SME by sharing new data mining techniques, maintaining technical reference documentation, and interfacing with partner technology teams.
  • Collaborate across business and technology stakeholders to communicate analytical findings to both technical and non-technical audiences.
  • Provide technical guidance for engineering projects that incorporate new data points into the investigation team’s toolkit, such as API integrations or internal data transformations.
  • Link Analysis/Graph analytics to find and mitigate deeply-connected fraud networks and detect new accounts being added to these networks
  • Unsupervised learning methods to augment existing supervised models, or detect portfolio anomalies
  • Development of machine learning models
  • Partner with product and engineering team in implementing features and models, and enhancing systems
 
What We Look For In You:
  • Master’s degree in Statistics, Mathematics, Operations Research, Computer Science, Economics, Engineering or other quantitative discipline. Bachelor’s degree with significant relevant experience will be considered.
  • 4+ years of fraud analytics experience in financial services or FinTechs
  • Crypto/Blockchain experience
  • Deep understanding of modern machine learning techniques / algorithms including GBM, XGBoost, LGBM, etc. Advanced programming skills of statistical / analytical software (SQL, R, Python,etc.);
  • Successful track record of owning and driving large, complex data analysis projects.
  • Demonstrated capacity for innovation and outside-the-box thinking in the creation of new capabilities and processes that are unstructured or exploratory in nature.
  • Experience in a fast-paced startup environment with a strong level of initiative; and
  • Ability and willingness to travel as needed.
  • Strong communicator in both writing and speaking
  • Multi-tasking and strong project management skills
 
Nice to Have:
  • Hands-on experience/knowledge of modeling in machine learning (GBM, XGBoost, Random Forest, etc.)
  • Passion for Bitcoin, crypto, Defi and blockchain technology

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!

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 $130,000 to $190,000. 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 Okcoin and OKX internal or external careers site.

#LI-HYBRID#LI-HYBRID


Job Overview

Receive job alerts twice per week:

Your subscription could not be saved. Please try again.
Your subscription has been successful.

Choose one or more global alerts or browse to the USA and UK alert pages:



USA Specific Job Alerts
UK Specific Job Alerts

Our marketing platform's terms of use