Location: Singapore

The Equities Data & Analytics Technology organization is looking to build a new team in Singapore. 

As a Principal Software Engineer, you will function as lead for this new team, responsible for design & development, of an ultramodern Research and Data platform to serve Equity Derivatives Systematic Trading business. Your leadership, technical ability, and problem-solving skills will directly influence business outcomes, priorities, and address a broad range of business growth opportunities using diverse technologies and applications.

Key Responsibilities:

• Direct the evolution and delivery of the Research and Data platform, ensuring alignment with business objectives and technical excellence.
• Partner with Quantitative Researchers and Traders to gather requirements and translate them into robust, scalable solutions for systematic trading, with a focus on Equity Derivatives (Options/Futures).
• Architect and oversee the implementation of data pipelines, research infrastructure, and analytics libraries, leveraging time series databases (KDB or similar), Data Lakes/Lakehouse, and Cloud-based OLAP Databases.
• Mentor and develop team members, fostering technical excellence and accountability.
• Ensure platform reliability, operational stability, and adherence to regulatory and compliance requirements.
• Drive adoption of modern technology stacks and best practices in software development lifecycle.

Required Qualifications:

• Bachelor's degree in Computer Science, Engineering, Mathematics, or related field.
• 10+ years of progressive software engineering experience, including leadership roles.
• Proven experience in designing and delivering scalable, data platforms – both batch based as well as streaming.
• Deep knowledge and experience working with time series databases/analytics
• Experience with modern data stack - Data Lakes/Lakehouse architectures and OLAP
• Design & Development of large, commercial grade python applications
• Knowledge of Equities or Futures/Options Trading having directly worked in a Front office technology team
• Excellent communication, stakeholder management, and mentoring skills.
• Ability to work in a fast-paced environment that carries ambiguity, collaborate across multiple teams and drive consensus.

Preferred qualifications, capabilities, and skills

• Proficiency in KDB/q for analytics
• Knowledge of Equity Options risk/pricing/market structure
• Use of LLMs in search and/or analytics driven user workflows, familiarity with prompt and context engineering
• Working knowledge of modern OLAP databases (e.g., AWS Redshift, Snowflake, BigQuery)
• Experience with design and implementation of apps in public cloud environments – AWS (preferable), Azure, GCP

Provide expertise and engineering excellence to enhance, build and deliver market-leading technologies within the firm