

Capital Market Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Capital Market Analyst in NY/NJ, long-term contract, requiring 10+ years of experience. Key skills include advanced SQL, Python, and capital markets expertise. A Bachelor’s or Master’s in Finance, Economics, or Computer Science is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 7, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
New York, NY
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🧠 - Skills detailed
#Azure #Cloud #Python #SQL (Structured Query Language) #Tableau #AWS (Amazon Web Services) #Microsoft Power BI #Visualization #BI (Business Intelligence) #Computer Science #Compliance #SQL Queries
Role description
Role: Capital Market Analyst
Location: NY/NJ
Duration: Long Term
Experience: 10+ years
We’re seeking a dynamic Capital Markets Analyst with hands-on experience in SQL, Python, and financial data to support the development of data-driven solutions across trading, risk, and post-trade functions. This role blends technology fluency, and capital markets expertise to optimize workflows and generate insights for key stakeholders.
Key Responsibilities:
· Develop and maintain SQL queries and Python scripts to analyze trade, risk, and reference data across asset classes
· Partner with trading, risk, and compliance teams to translate business requirements into technical deliverables
· Automate repetitive processes and contribute to tool development to streamline trade processing and reconciliation
· Support the enhancement of post-trade workflows, especially with T+1 settlement and regulatory reporting
· Document technical specifications, data dictionaries, and control frameworks
Required Skills & Qualifications:
· 4–8 years of experience in capital markets, preferably in trading, risk analytics, or operations
· Proficiency in writing advanced SQL queries and developing Python-based analytics
· Solid understanding of market data, trade lifecycle, and financial instruments (equities, fixed income, derivatives)
· Exposure to regulatory themes like Dodd-Frank, T+1, or Basel frameworks is a plus
· Strong problem-solving and stakeholder communication skills
· Familiarity with data visualization tools (e.g., Power BI, Tableau) and cloud platforms (Azure, AWS) is
· Advantageous
· Bachelor’s or Master’s in Finance, Economics, Computer Science, or related field
Role: Capital Market Analyst
Location: NY/NJ
Duration: Long Term
Experience: 10+ years
We’re seeking a dynamic Capital Markets Analyst with hands-on experience in SQL, Python, and financial data to support the development of data-driven solutions across trading, risk, and post-trade functions. This role blends technology fluency, and capital markets expertise to optimize workflows and generate insights for key stakeholders.
Key Responsibilities:
· Develop and maintain SQL queries and Python scripts to analyze trade, risk, and reference data across asset classes
· Partner with trading, risk, and compliance teams to translate business requirements into technical deliverables
· Automate repetitive processes and contribute to tool development to streamline trade processing and reconciliation
· Support the enhancement of post-trade workflows, especially with T+1 settlement and regulatory reporting
· Document technical specifications, data dictionaries, and control frameworks
Required Skills & Qualifications:
· 4–8 years of experience in capital markets, preferably in trading, risk analytics, or operations
· Proficiency in writing advanced SQL queries and developing Python-based analytics
· Solid understanding of market data, trade lifecycle, and financial instruments (equities, fixed income, derivatives)
· Exposure to regulatory themes like Dodd-Frank, T+1, or Basel frameworks is a plus
· Strong problem-solving and stakeholder communication skills
· Familiarity with data visualization tools (e.g., Power BI, Tableau) and cloud platforms (Azure, AWS) is
· Advantageous
· Bachelor’s or Master’s in Finance, Economics, Computer Science, or related field