

Quantitative Analyst
β - 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.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
September 5, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
Unknown
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
United States
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π§ - 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.
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.