Python/SQL Developer

Open Systems Technologies; Newark (NJ); On-site; USD 100,000 - 125,000; Full time

Job summary

A financial firm in Newark, NJ is seeking a Python/SQL Developer with over 6 years of front office experience to develop investment decision support services. Responsibilities include maintaining applications in Java and Python, and collaborating with quantitative teams. Ideal candidates are proficient in Python and SQL, with a sound understanding of fixed income.

Qualifications

• 6+ years of experience in developing front office and related applications.
• Proficient in Python and SQL.
• Solid fixed income knowledge.

Responsibilities

• Design and implement investment decision supporting services across all fixed income domains.
• Maintain/Enhance existing portfolio management applications in Java and Python.
• Work with quantitative solutions and other front office investment teams.

Skills

Python

SQL

Fixed income knowledge

SDLC tools

Tools

Git

Jira

Docker

Jenkins

Job description

A financial firm is looking for a Python/SQL Developer to join their team in Newark, NJ.

Pay: $100/hr

Must be a US Citizen or GC Holder; No visa sponsorship
Must be local; No relocation

Responsibilities

• Design and implement investment decision supporting services across all fixed income domains
• Maintain/Enhance existing portfolio management applications in Java and Python
• Work with quantitative solutions and other front office investment teams
• Build/Maintain application services that are critical tofront office systems

Qualifications
Required:

• 6+ years of experience in developing front office and related applications
• Proficient in Python and SQL
• Solid fixed income knowledge
• Extensive knowledge and experience with SDLC tools such as Git, Jira, Docker, Jenkins etc.

Preferred:

• Azure or AWS experience
• Java or C++ development experience
• Financial market data such as datasets from Bloomberg, S&P, Moody's, ICE, etc.
• Investment universe customization and back testing
• Direct experience in supporting front office end-users (PM, Quant)