Sr. Data Scientist - Risk at OKX

San Jose, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Cryptocurrency, FinTechIndustries

Requirements

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
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
Ability and willingness to travel as needed
Strong communicator in both writing and speaking
Multi-tasking and strong project management skills

Responsibilities

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

Skills

Data Mining

Machine Learning

Statistical Modeling

Fraud Detection

Risk Analysis

Data Analysis

OKX

Cryptocurrency exchange and DeFi services

About OKX

OKX is a leading cryptocurrency exchange that serves over 50 million users globally with a diverse suite of crypto trading and earning services. Dedication to leveraging blockchain technology to offer services like spot, margin, and derivatives markets, along with DeFi portfolio management and NFT marketplace access, underscores their commitment to enabling decentralized financial access. The company fosters a culture that values financial innovation and leadership in the digital finance sphere.

Singapore, SingaporeHeadquarters

2017Year Founded

$856.3MTotal Funding

PE_GROWTHCompany Stage

Fintech, Crypto & Web3Industries

5,001-10,000Employees