OKX
Risk Quantitative Lead
Job Summary
The role involves model validation, data analysis, strategy research, and tool development to support risk management at a crypto exchange. The candidate should have strong programming skills, experience with quantitative methods, and a background in financial modeling or risk management. Responsibilities include evaluating model performance, designing risk estimation models, and developing analytics tools. The position requires excellent communication skills to collaborate with technical and non-technical stakeholders.
Required Skills
Benefits
Job Description
Who We Are
About the Opportunity
What You’ll Be Doing
- Model Validation and Research
- Evaluate conceptual soundness of models by assessing the model theory (incl. model assumptions, limitations), model construction and model testing in relation to the known model use cases.
- Review model performance and design and conduct independent model testing, both standardized and tailored such as back-testing, stress testing, benchmarking to specifics of the model’s type, implementation and usage.
- Maintain documentation and support model governance in accordance with internal policies and regulatory expectations. Assist on periodic model performance review or revalidation.
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- Data Analytics and Tooling
- Design and maintain mathematical models for risk estimation. Develop analytics tools, dashboards, and automated reports for internal stakeholders.
- Conduct exploratory data analysis and statistical research to identify signals or risk drivers.
- Analyze large datasets (market, fundamental, alternative data).
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- Cross-functional Support
- Work closely with stakeholders to translate business needs into quantitative solutions.
- Help improve decision-making by providing actionable insights derived from quantitative analysis.
- Contribute to performance attribution, scenario analysis, or stress testing as needed.
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What We Look For In You
- Master’s or Ph.D. in Quantitative Finance, Mathematics, Statistics, Computer Science, or other quantitative fields.
- Proven track record of (or 8+ years of experience in) the quantitative risk management or model validation area.
- Strong knowledge of machine learning techniques, financial modeling and statistical techniques in Finance (TradFi or crypto). Hands-on experience with stochastic calculus and numerical methods in pricing and risk models.
- Proficiency in programming languages such as C, C++, Java, Python or equivalent. Experience with data handling and statistical analysis (e.g., pandas, NumPy, scikit-learn, SQL).
- Familiarity with Fraud detection models, Payment Risk Models or Compliance models is a plus.
- Strong communication skills to present complex findings to both technical and non-technical stakeholders.
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!
- The salary range for this position is $214,000 - $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.
OKX
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