Security Referential Data Engineer for Financial Trading

Tower Research Capital; Hong Kong; Hybrid; HKD 700,000 - 1,000,000; Full time

Benefits offered by this job

Generous paid time off

Hybrid working opportunities

Free breakfast, lunch and snacks daily

Wellness reimbursements

Volunteer opportunities

Social events and learning

Job summary

Tower Research Capital in Hong Kong is seeking a data-focused engineer to own security referential data for its global trading footprint. You will diagnose production issues, automate improvements and work with trading teams to address needs.

Requires a BS in CS or related field, 2+ years in financial trading, Python, SQL, UNIX, and excellent English. This role offers hybrid work, generous time off, wellness support and regular learning opportunities.

Qualifications

• Bachelor’s degree in computer science or related field.
• 2+ years in the financial trading industry.
• Experience with security referential data across asset classes.
• Strong problem-solving abilities.
• Ability to manage multiple tasks in a fast-paced environment.
• Proficiency in Python programming.
• Strong expertise in SQL databases.
• Familiarity with UNIX environment and shell scripting.
• Excellent written and verbal English communication.

Responsibilities

• Deliver security referential data needs for Tower’s global trading footprint.
• Analyse production issues and implement corrective measures.
• Identify operational inefficiencies and drive automation.
• Interact with trading teams to handle issues.
• Strengthen and maintain security referential infrastructure.
• Take end-to-end ownership: development, testing, release, and support.

Skills

Python programming

SQL databases

Unix shell scripting

English communication

Education

Bachelor's degree in computer science

Job description

Tower Research Capital in Hong Kong is seeking a data-focused engineer to own security referential data for its global trading footprint. You will diagnose production issues, automate improvements and work with trading teams to address needs.

Requires a BS in CS or related field, 2+ years in financial trading, Python, SQL, UNIX, and excellent English. This role offers hybrid work, generous time off, wellness support and regular learning opportunities.