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Quantitative Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Quantitative Developer in New York, NY (Hybrid – 2 days onsite) with a 12-month contract-to-hire. Requires 5+ years in Python and SQL, strong financial instrument knowledge, and experience in investment environments.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
640
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🗓️ - Date
November 6, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
New York, NY
-
🧠 - Skills detailed
#Data Manipulation #Datasets #FactSet #Python #SQL (Structured Query Language) #GIT #Pandas #Programming #NumPy
Role description
Title: Quantitative Developer
Location: New York, NY (Hybrid – 2 days onsite)
Type: 12 Months Contract-to-Hire
About the Role:
We’re seeking a Quantitative Developer to join a leading investment firm. In this role, you’ll work directly with portfolio managers and traders to design and deploy data-driven tools that support investment strategies across Fixed Income, Private Credit, and Private Equity portfolios.
Responsibilities:
• Partner with investment teams to develop small-scale applications, prototypes, and analytical models.
• Build and maintain tools to analyze large financial datasets and improve decision-making.
• Integrate financial data sources (Bloomberg, FactSet, Aladdin, etc.) for reporting and research.
• Translate investment requirements into technical solutions in Python and SQL.
Qualifications:
• 5+ years of programming experience in Python with strong use of pandas, NumPy, and Git.
• Advanced SQL and data manipulation skills.
• Understanding of financial instruments, portfolio construction, and investment analytics.
• Experience in investment or financial services environments preferred.
• Strong communication, analytical thinking, and problem-solving abilities.
Title: Quantitative Developer
Location: New York, NY (Hybrid – 2 days onsite)
Type: 12 Months Contract-to-Hire
About the Role:
We’re seeking a Quantitative Developer to join a leading investment firm. In this role, you’ll work directly with portfolio managers and traders to design and deploy data-driven tools that support investment strategies across Fixed Income, Private Credit, and Private Equity portfolios.
Responsibilities:
• Partner with investment teams to develop small-scale applications, prototypes, and analytical models.
• Build and maintain tools to analyze large financial datasets and improve decision-making.
• Integrate financial data sources (Bloomberg, FactSet, Aladdin, etc.) for reporting and research.
• Translate investment requirements into technical solutions in Python and SQL.
Qualifications:
• 5+ years of programming experience in Python with strong use of pandas, NumPy, and Git.
• Advanced SQL and data manipulation skills.
• Understanding of financial instruments, portfolio construction, and investment analytics.
• Experience in investment or financial services environments preferred.
• Strong communication, analytical thinking, and problem-solving abilities.






