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Mid-Level Python Developer
Harvey Nash • , GB • On-site
Posted on: 13th March, 2025
Employment Type: FULLTIME
Job Description
"US citizens and those authorized to work in the US are encouraged to apply. We are unable to sponsor H1b candidates at this time."
Job Title: Mid-Level Python Developer (Asset Management/Fixed income)
Location: Newark, NJ (Hybrid, 2-days a week on-site)
Duration: Fulltime permanent role
Roles and Responsibilities:
Design and implement investment decision supporting services across all fixed income domains.
Maintain and enhance existing portfolio management applications in Java and Python
Work closely with our quantitative solutions and other front office investment teams.
Build and maintain application services that are critical to our front office systems.
Technical Experience:
• 6+ years of experience in developing front office and related applications.
• Proficient in Python and SQL.
• Solid fixed income knowledge
• Proactive and ownership mentality
• Strong analytical and problem-solving skills within a fast moving and dynamic environment
• Extensive knowledge and experience with SDLC tools such as Git, Jira, Docker, Jenkins etc.
Wat will set you apart ?
• 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).
A reasonable, good faith estimate of the minimum and maximum compensation for this position is $140,000 per annum to $150,0000 per annum with full benefits and bonus.
Job Title: Mid-Level Python Developer (Asset Management/Fixed income)
Location: Newark, NJ (Hybrid, 2-days a week on-site)
Duration: Fulltime permanent role
Roles and Responsibilities:
Design and implement investment decision supporting services across all fixed income domains.
Maintain and enhance existing portfolio management applications in Java and Python
Work closely with our quantitative solutions and other front office investment teams.
Build and maintain application services that are critical to our front office systems.
Technical Experience:
• 6+ years of experience in developing front office and related applications.
• Proficient in Python and SQL.
• Solid fixed income knowledge
• Proactive and ownership mentality
• Strong analytical and problem-solving skills within a fast moving and dynamic environment
• Extensive knowledge and experience with SDLC tools such as Git, Jira, Docker, Jenkins etc.
Wat will set you apart ?
• 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).
A reasonable, good faith estimate of the minimum and maximum compensation for this position is $140,000 per annum to $150,0000 per annum with full benefits and bonus.
Responsibilities
- Design and implement investment decision supporting services across all fixed income domains
- Maintain and enhance existing portfolio management applications in Java and Python
- Work closely with our quantitative solutions and other front office investment teams
- Build and maintain application services that are critical to our front office systems
Requirements
- 6+ years of experience in developing front office and related applications
- Proficient in Python and SQL
- Solid fixed income knowledge
- Proactive and ownership mentality
- Strong analytical and problem-solving skills within a fast moving and dynamic environment
- Extensive knowledge and experience with SDLC tools such as Git, Jira, Docker, Jenkins etc
- 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)
Harvey Nash
Technology
Job Type
FULLTIME
Benefits
- A reasonable, good faith estimate of the minimum and maximum compensation for this position is $140,000 per annum to $150,0000 per annum with full benefits and bonus
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