About Matrixport:
Founded in 2019, Matrixport is a global digital asset financial services platform bridging traditional finance and the digital asset ecosystem through technology and regulatory compliance. The company has grown into a unicorn with a valuation exceeding US$1 billion. Matrixport and its subsidiaries maintain a licensed and regulated footprint across major financial centres, including Singapore, Hong Kong, Switzerland, the United Kingdom, and the United States. Matrixport manages over US$7 billion in assets and offers institution-grade services spanning custody, wealth and yield management, structured products, and trading solutions. The firm focuses on building secure, compliant, and scalable digital financial services for global clients.
For more information, visit www.matrixport.com
Kickstart Your Journey at Matrixport:
At Matrixport, we come together as a dynamic team to tackle exciting challenges head-on, creating an environment bursting with openness, transparency, and inclusivity. Every graduate is a vital part of our mission, and your ideas will always be valued. We’re searching for passionate, intellectually curious, and entrepreneurial individuals ready to make a real impact in the crypto ecosystem and help create innovative products for the next billion users.
- Make a Difference in the Future of Web3!
- Gain Hands-On Experience with Cryptocurrencies!
- Unlock Global Opportunities!
- Mentorship and Networking with Industry Leaders!
- Join a Fun, Vibrant, and Engaging Culture!
Job Responsibilities:
- Develop and maintain pricing models for structured products and derivatives (e.g., Monte Carlo, PDE solvers, tree models)
- Build payoff simulation engines, Greeks computation modules, and Monte Carlo frameworks
- Improve stability, performance, and accuracy of existing pricing models
- Build pricing tools, automation scripts, and risk dashboards for traders and structurers
- Perform payoff simulation for snowballs, digitals, range accruals, puttable structures, and other structured notes
- Analyze product sensitivity and performance under different market scenarios
- Support structurers and traders in new product design and optimization
- Conduct research on volatility surface modeling, correlation modeling, and parameter calibration
- Perform historical backtesting, stress testing, and factor sensitivity studies
- Track macro market events and monitor risk exposures related to structured products
- Work closely with Trading, Structuring, IT, and Risk Management teams
- Participate in new product launches and model validation processes
- Provide ad-hoc quantitative research and analysis support for front office
Job Requirements:
- Bachelor’s or Master’s degree in Mathematics, Financial Engineering, Statistics, Physics, Computer Science, or related fields
- Coursework or project experience in derivatives, quantitative finance, or numerical modeling is a strong plus
- Solid understanding of derivative pricing theories (e.g., Black-Scholes, local volatility, stochastic volatility)
- Proficiency in Python / C++ / Matlab / R or other quantitative programming languages
- Strong foundation in Monte Carlo simulation, numerical methods, and probability/statistics
- Strong analytical and problem-solving abilities
- Ability to read and understand quantitative finance literature in English
- Strong mathematical intuition and passion for derivatives
- Attention to detail, high level of accuracy, and strong sense of responsibility
- Ability to learn quickly and work in a fast-paced environment
- Proficient in spoken and written English, with strong interpersonal and presentation skills; fluency in Mandarin is a plus.
Embrace the opportunity to thrive and grow with us as we shape the future together at Matrixport!
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