Python, SQL, Fixed Income Developer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Python, SQL, Fixed Income Developer with 6+ years of front office experience, offering a hybrid contract in Newark, NJ for 3 days/week. Pay rate is $70-$100/hour. Key skills include Python, SQL, and fixed income knowledge.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
760
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πŸ—“οΈ - Date discovered
June 2, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Hybrid
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Newark, NJ
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🧠 - Skills detailed
#Java #C++ #Docker #Datasets #Jenkins #Azure #Python #SQL (Structured Query Language) #AWS (Amazon Web Services) #GIT #Jira #Leadership
Role description
Seeking senior Python, SQL developer with Fixed Income and front office experience for a major financial firm. Hybrid environment. 3 days / week in Newark, NJ required. Payrate : 70 - 100 per hour The Front Office technology team is a dynamic, fast-paced environment, with exciting changes on the horizon under new senior leadership. We are looking for a senior software engineer to help us build our next generation of portfolio management and trading systems. What You Will Do: 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. Skills You Will Need: 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. The Ideal Candidate will also have: 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).