

Python, SQL, Fixed Income Developer
β - 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 $70-$100 per hour for a hybrid position in Newark, NJ. Key skills include Python, SQL, fixed income knowledge, and SDLC tools.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
June 23, 2025
π - Project duration
Unknown
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ποΈ - Location type
Hybrid
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π - Contract type
Fixed Term
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π - Security clearance
Unknown
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π - Location detailed
Newark, NJ
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π§ - Skills detailed
#GIT #Docker #Jenkins #Python #Java #SQL (Structured Query Language) #AWS (Amazon Web Services) #C++ #Leadership #Jira #Azure #Datasets
Role description
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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).