

Capital Market Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Capital Market Analyst in Charlotte, NC, lasting long-term with a pay rate of "unknown." Requires 10+ years of experience, proficiency in SQL and Python, and knowledge of capital markets, trade lifecycle, and regulatory frameworks.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
-
🗓️ - Date discovered
August 29, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Charlotte, NC
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🧠 - Skills detailed
#Computer Science #Compliance #Visualization #Microsoft Power BI #SQL Queries #AWS (Amazon Web Services) #Cloud #Tableau #Azure #SQL (Structured Query Language) #Python #Business Analysis #BI (Business Intelligence)
Role description
Role: Capital market Analyst (Business Analyst Background)
Location: Charlotte, NC
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 (Business Analyst Background)
Location: Charlotte, NC
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