The Position
Our client, a leading securities trading firm, is looking for a high-impact Senior data architect to join their Quant Team and lead the architecture and automation of the data ecosystem. This is a business-critical role focused on building the foundational infrastructure that manages the entire lifecycle of complex derivative products. You will oversee the transition from raw market data to refined, trade-ready intelligence, ensuring that every corporate action, dividend event, and price adjustment is captured with mathematical precision.
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Key Responsibilities
Strategic Data Architecture:Â Design and scale high-availability pipelines for static, historical, and reference data, establishing a "Golden Source" for the quantitative trading desk.
Automated Lifecycle Engineering:Â Implement sophisticated systems to handle complex event processing (e.g., stock dividends, splits, mergers, and distributions) to ensure zero-error adjustments to pricing models and live positions.
Quantitative Liaison:Â Partner directly with Traders and researchers to translate quantitative needs into technical reality, providing SME guidance on how lifecycle events impact risk, PnL, and Greeks.
Integrity & Monitoring:Â Develop advanced outlier detection and data-cleansing frameworks to maintain elite-level data quality across global exchanges.
System Evolution:Â Lead the modernization of the research-to-production pipeline, championing automated CI/CD practices and high-performance data storage solutions.
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Candidate Requirements
Seniority:Â 8+ years of experience in a quantitative environment (Investment Banking, Multi-Strategy Hedge Fund, or Prop Trading).
Education: PhD or Master’s degree in a technical field (Financial Engineering, Computer Science, Physics, or Math).
Domain Authority:Â Deep understanding of Derivative mechanics (Options, Swaps, Futures) and the impact of corporate actions on valuation and hedging.
Technical Mastery:Â Expert proficiency in high-performance programming (Python, C++, or Java) and a strong command of SQL and Time-Series databases.
Professional Stature:Â Proven ability to act as a Subject Matter Expert, influencing senior stakeholders and traders through clear technical and financial reasoning.
Languages: Professional fluency in English; proficiency in Mandarin is a significant advantage for regional collaboration.
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If this outstanding opportunity sounds like your next career move, please submit through "Apply Now" or send your resume in Word format to Lu Zhang at resume@pinpointasia.com and put Equity Derivatives Data Architect - Leading Securities Firm - J12751 in the subject header.
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Data provided is for recruitment purposes only.
