DescriptionThe 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 fordesign & 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:
- Bachelors 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
Required Experience:
Staff IC
DescriptionThe 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 fordesign & development of an ultramodern Research and Data platform to serve Equity Derivatives Syste...
DescriptionThe 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 fordesign & 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:
- Bachelors 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
Required Experience:
Staff IC
View more
View less