Senior Data Scientist, Risk (Risk Strategy)
Singapore, Singapore
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingIdentify complex fraud patterns and their technical root causes through data mining
Use link analysis and graph analytics to find and mitigate fraud networks
Apply unsupervised learning to augment supervised models and detect anomalies
Develop machine learning models
Guide engineering projects that add new data points to the investigation toolkit
From the employer’s posting
Identify complex fraud patterns and their technical root causes through detailed data mining and analysis
Link Analysis/Graph analytics to find and mitigate deeply-connected fraud networks
Unsupervised learning methods to augment existing supervised models, or detect portfolio anomalies
Development of machine learning models
Provide technical guidance for engineering projects that incorporate new data points into the investigation team’s toolkit
Education & alternatives
What We Look For In You: - Master’s degree (or PhD) 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
Tools in this posting
- Python
- R
- SQL
- XGBoost
Source — Tool mentions in context
- 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.
Nice to Haves: - Hands-on experience/knowledge of modeling in machine learning (GBM, XGBoost, Random Forest, etc.); and Perks & Benefits
About OKX
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
In the employer’s words · Read in context
Posting record
Report an errorOpen 6 monthsWe first saw this listing 195 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Apr 14, 2026 · 195 days ago
- Recorded sightings
- 369
- Last seen by us
- Oct 27, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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Job description
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 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.
About the Opportunity:
The Sr 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:
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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.
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Serve as technical SME by sharing new data mining techniques, maintaining technical reference documentation, and interfacing with partner technology teams.
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Collaborate across business and technology stakeholders to communicate analytical findings to both technical and non-technical audiences.
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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.
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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 (or PhD) 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.
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Demonstrated capacity for innovation and outside-the-box thinking in the creation of new capabilities and processes that are unstructured or exploratory in nature.
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Experience in a fast-paced startup environment with a strong level of initiative; and
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Ability and willingness to travel as needed.
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Strong communicator in both writing and speaking
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Multi-tasking and strong project management skills
Nice to Haves:
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Hands-on experience/knowledge of modeling in machine learning (GBM, XGBoost, Random Forest, etc.); and
Perks & Benefits
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Competitive total compensation package
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L&D programs and Education subsidy for employees' growth and development
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Various team building programs and company events
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Wellness and meal allowances
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Comprehensive healthcare schemes for employees and dependants
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More that we love to tell you along the process!
#LI-ONSITE
#LI-WWW
#LI-HYBRID#LI-ED1
Notice:
All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website.
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.
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Singapore, Singapore
#LI-ONSITE #LI-WWW #LI-HYBRID#LI-ED1 Notice:
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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