As a Data Engineer, you will design, implement, and maintain data processes and infrastructures for quantitative research and trading. Responsibilities include collaborating with traders and researchers, managing vendor datasets, building ETL pipelines, and ensuring data quality and health.
Tower Research Capital, a high-frequency proprietary trading firm founded in 1998, seeks a Data Engineer to join our Data Services Team in Singapore.
As a Data Engineer, you will be part of our global Data Services Team, mainly responsible for designing, implementing, and maintaining data processes and data infrastructures for quantitative research and trading.
Responsibilities
- Collaborating with portfolio managers, researchers and traders to understand their data requirements and to find data solutions
- Onboarding and managing vendor datasets used extensively in Tower trading and research platforms
- Designing, implementing, and maintaining the infrastructure necessary to support the firm's data management processes, including storage, compute, and networking resources
- Building and maintaining ETL pipelines
- Contributing to the design and development of Tower data platform
- Designing and implementing data quality checks
- Monitoring data processes and data health, participating in on-call rotation, proactively solving data related problems
- Supporting internal data users (Traders, Researchers)
Qualifications
- Master's in Computer Science, Quantitative Finance or Information Technology, or a related field, or equivalent work experience
- At least 2+ years of experience in Python
- Familiarity with ETL processes, data modeling, and database design principles
- Familiarity with database systems such as SQL Server, PostgreSQL, or MySQL
- Experience with CI/CD processes and DevOps
- Excellent problem-solving and troubleshooting skills
- Strong communication and collaboration skills
- Ability to work autonomy as part of a global team
Good to Have
- Proficient in AI/ML techniques for detecting patterns and anomalies
- Knowledge of referential data and corporate actions
- Experience in building scalable data systems
- Experience in the financial/trading sector
Benefits
Tower continues to enhance the in-house trading system and strategies that have positioned the firm as a leader in the thriving field of quantitative trading. While Tower offers challenges and rewards rivaling those of any Wall Street firm, Tower’s cubicle-free workplace, jeans-clad workforce, and well-stocked kitchens reflect the premium the firm places on quality of life. Benefits include:
- Competitive salary and discretionary bonuses
- 5 weeks of paid vacation per year
- Breakfast, lunch, and snacks on a daily basis
- International medical insurance
- Free gym membership
- For employees ineligible to participate in the CPF, the cash equivalent of the employer’s CPF contribution
- Free events and workshops
- Donation matching program
Tower Research Capital is an equal opportunity employer.
Top Skills
Python
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