Quantitative Developer Python - Data Search & Analytics SG/HK | Singapore, SG

Quantitative Developer Python - Data Search & Analytics SG/HK

Company:
Our client is a leading Hedge Fund! They have a global presence and have distinguished themselves by maintaining world-class technology in an innovative and collaborative environment. They offer a range of benefits and culture that is truly unique in the global market and due to ongoing growth, they are now looking for a like-minded Python developer to join their highly technical team.

Role:
You will be handling the design, development, and testing of real-time signal generation and trade monitoring applications. This will see you work closely with other teammate developers and the wider business to collaborate on designing high quality, reliable/best-in-class solutions. The company offers a real team-centric approach to its development, so you will be able to contribute quickly to both coding and design ideas for a cutting-edge system working in the global derivatives marketplace. Previous finance experience is not a prerequisite but strong Python development skills are mandatory.

Responsibilities:

• Design, extend & enhance data analytics, risk, order & trade capture systems in a dynamic & innovative environment.
• Build & improve cutting edge (trading, market) data analytics & risk platforms.

Requirements:

• A deep knowledge of Python & experience building complex, high-performance systems.
• 3+ years experience as a Data Engineer/Analyst/Scientist.
• Ability to design/develop relational databases, make schema changes, stored procedures (SQL/PostgreSQL).
• Comfortable with Test Driven Development (TDD) and Agile Methodology.
• A technology and/or finance focused degree/diploma.
• Experience with Bloomberg/Reuters data ecosystems.

This role would be suited for people coming from a Web Development, Python Developer, Analyst Programmer, Software Engineer, or Coder background from a complex environment. Salary available is based on experience and bonuses received by this team are well above market averages.