Quantitative Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Quantitative Analyst with a contract length of over 6 months, offering a competitive pay rate. Key skills include Python, FastAPI, and quantitative analysis, with experience in financial instruments and portfolio construction required.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
September 5, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
Unknown
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#Datasets #Mathematics #Python #FastAPI #Libraries #Scala
Role description
Overview Optomi, in partnership with a growing fintech company focused on building B2B web applications for asset managers and advisors, is seeking a Python Developer with a strong background in quantitative analysis. This role will support financial modeling, portfolio construction, and complex risk/reward calculations using homegrown platforms and open-source libraries. The position is full-time contract and project-driven, offering the opportunity to collaborate with senior investors and quantitative experts. Experience of the Right Candidate β€’ Mid- to Senior-level Python developer with proven experience in a technical environment. β€’ Strong background in quantitative analysis with exposure to portfolio construction and financial instruments (ETFs, bonds, equities, structured notes, annuities). β€’ Ability to explain Monte Carlo simulations and risk/reward ratios in clear, practical terms. β€’ Experience working with FastAPI and modern open-source libraries. β€’ Excellent communication skills with the ability to collaborate with PhD-level investors and technical stakeholders. β€’ Nice to have: Advanced degree (PhD) in finance, mathematics, physics, or related field. Responsibilities of the Right Candidate β€’ Develop and maintain Python-based calculations to support portfolio construction and financial modeling. β€’ Collaborate with quantitative analysts and investors to translate financial concepts into efficient, scalable code. β€’ Work on risk and performance simulations (including Monte Carlo) to evaluate portfolio growth and historical trends. β€’ Support the buildout of web applications for asset managers and advisors, leveraging open-source libraries. β€’ Handle complex financial datasets, ensuring accuracy and integrity in calculations. β€’ Communicate findings and technical solutions clearly to both technical and non-technical stakeholders.