About the company
About OKX OKX is a leading crypto trading app, and a Web3 ecosystem. Trusted by more than 20 million global customers in over 180 international markets, OKX is known for being the fastest and most reliable crypto trading app of choice for investors and professional traders globally. Our Singapore office is a Product and Engineering hub and we are in the progress of expanding our teams in Singapore for the continuous growth of our global business. We build and maintain core trading platform with millions of daily active users. Design, Product and Engineering teams work cross-functionally to identify customer needs, and ship high-quality new features through fast iterations.
Job Summary
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. 📍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.
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.
Looking for your next challenge? The world of crypto offers exciting roles in blockchain development, web3 innovations, and remote opportunities.
