Lead risk quantitative efforts by validating models, conducting data analysis, and supporting cross-functional teams to develop risk management solutions.
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 Opportunity What You’ll Be Doing What We Look For In YouPerks & Benefits
The OKX Central Risk function is responsible for overall risk management covering market risk and liquidity risk, counterparty credit risk, enterprise risk and operational risk, fraud risk etc including model risk management and model validation. We’re deeply committed to the top risk standards of the crypto industry, protecting the company from financial, regulatory and reputational risks. Our team consists of seasoned risk professionals who are based across our global offices.
We are looking for a versatile and intellectually curious Risk Quantitative Lead to join our team. This is a broad role that spans model validation, data analysis, strategy research, and tool-building to support risk management in crypto exchange. The ideal candidate is a strong problem-solver with excellent programming skills, a deep understanding of quantitative methods, and a passion for applying math to real-world financial problems.
- 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.
- 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).
- 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.
- 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.
- 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 $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.
Top Skills
C
C++
Java
Numpy
Pandas
Python
Scikit-Learn
SQL
Similar Jobs
Fintech • Payments • Financial Services
The Surveillance Analyst monitors market activity, identifies risks, analyzes trends, compiles reports, and supports customer onboarding to mitigate financial risks.
Top Skills:
SQL
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
The role requires crafting content strategy and UX writing for Dropbox, collaborating with design teams and stakeholders to enhance user experience.
Top Skills:
Content StrategyUx Writing
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
Consultants will plan and deliver data architecture solutions, manage database software operations, mentor staff, and analyze business processes.
Top Skills:
AnsibleAws Big DataDevOpsDremioElastic MapreduceKubernetesMaprPythonRRhelRstudio
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
