JOB DETAILS
Quantitative Analyst - Crypto Options
CompanyKronos Research
LocationTaiwan
Work ModeOn Site
PostedJanuary 18, 2026
About The Company
Kronos Research stands at the forefront of proprietary trading, elevating trading performance through its profound expertise in quantitative research. Driven by a fusion of rigorous research methodologies and advanced machine-learning techniques, we are revolutionizing the way trading is approached.
We have 4 main business pillars, i.e. (i) High-Frequency Trading (HFT), particularly in the dynamic landscape of cryptocurrency trading, (ii) market-making, providing the best liquidity across CeFi and DeFi solutions, (iii) asset management services for institutions and brokers covering a wide range of asset classes, and (iv) ventures, identifying high growth potential projects to invest in, provide expertise and drive returns.
▸ Our Achievement
Under the leadership of senior executives with backgrounds in Wall Street finance and top global high-frequency trading firms, Kronos Research has become a world-leading cryptocurrency trading team, achieving an average daily trading volume of $5 billion and a peak single-day trading volume of $23 billion. Starting from Taiwan, we have expanded globally, with employees from Singapore, the United States, Romania, Shanghai, and other locations.
▸ Principle
I. Meritocracy - We value the best ideas and outcomes.
II. Urgency - We seize fleeting opportunities.
III. Team - We value each other’s effort.
IV. Integrity - We act with integrity at every turn.
VI. Innovation - We encourage ideas and challenge past assumptions.
Kronos values and encourages each team member to create their own value. We foster an open corporate culture, and a flat organizational structure, and offer competitive compensation, hoping to attract more outstanding talent to join us in building a diverse and rich ecosystem for quantitative trading.
About the Role
<p><strong>Job Description</strong></p>
<p>We are looking for a Quantitative Analyst for Crypto Options to help develop pricing models, automated quoting systems, and internal research infrastructure. The role involves quantitative modeling, data processing, and system automation in a high-performance trading environment. You will work closely with the team lead and gain hands-on exposure to advanced financial engineering and real-world derivatives implementation. Fresh graduates or candidates with less than two years of experience are welcome to apply. A strong interest in financial engineering matters more than prior industry experience.</p>
<p><strong>Responsibilities</strong></p>
<ul>
<li>Build and validate pricing models</li>
<li>Develop payoff engines and simulation frameworks</li>
<li>Implement data pipelines for research & calibration</li>
<li>Contribute to automation tools and internal infra</li>
</ul>
<p><strong>Requirements</strong></p>
<ul>
<li>Degree in Math / Physics / Engineering / CS or other quantitative fields</li>
<li>Exceptional mathematical skills (calculus, statistics, time-series, linear algebra)</li>
<li>Strong passion for derivatives pricing & financial engineering</li>
<li>Proficient in Python (numerical computing)</li>
<li>Familiar with Linux command-line</li>
<li>Fluent in database usage & data manipulation</li>
<li>Strong communication & teamwork</li>
</ul>
<p><strong>Good to have</strong></p>
<ul>
<li>Numerical methods / PDE experience</li>
<li>Machine learning background</li>
<li>Options trading or volatility modeling knowledge</li>
<li>Proficiency in C++</li>
</ul>
<p></p>
<p class="part in-view" data-startline="36" data-endline="36" data-position="1506" data-size="0"><strong>What you will gain</strong></p>
<ul class="part in-view" data-startline="38" data-endline="41" data-position="1545" data-size="0">
<li class="" data-startline="38" data-endline="38" data-position="1548" data-size="0"><span data-position="1548" data-size="52">Derivatives pricing theory and financial engineering</span></li>
<li class="" data-startline="39" data-endline="39" data-position="1604" data-size="0"><span data-position="1604" data-size="42">Numerical methods and model implementation</span></li>
<li class="" data-startline="40" data-endline="40" data-position="1650" data-size="0"><span data-position="1650" data-size="49">Volatility modeling and structured product design</span></li>
<li class="" data-startline="41" data-endline="41" data-position="1703" data-size="0"><span data-position="1703" data-size="62">Real-world integration of quant models into production systems</span></li>
</ul>
<p></p>
Key Skills
Quantitative ModelingData ProcessingSystem AutomationFinancial EngineeringPricing ModelsPythonLinuxDatabase UsageData ManipulationCommunicationTeamworkNumerical MethodsMachine LearningOptions TradingVolatility ModelingC++
Categories
Finance & AccountingData & AnalyticsTechnologyEngineeringConsulting
Job Information
📋Core Responsibilities
The Quantitative Analyst will build and validate pricing models, develop payoff engines, and implement data pipelines for research and calibration. They will also contribute to automation tools and internal infrastructure.
📋Job Type
full time
📊Experience Level
0-2
💼Company Size
240
📊Visa Sponsorship
No
💼Language
English
🏢Working Hours
40 hours
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