Harvey Nash
Data Analyst/Scientist - Risk Reporting/PowerBI
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Senior Data Analyst/Scientist focused on Risk Reporting and Power BI, offering a hybrid contract in London. Essential skills include SQL, programming (Python/Scala), and BI tools. Experience in front-office trading and risk data is required.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
Unknown
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🗓️ - Date
March 3, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
London
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🧠 - Skills detailed
#GCP (Google Cloud Platform) #Programming #Azure #SQL (Structured Query Language) #Data Processing #Scala #AWS (Amazon Web Services) #Python #Data Analysis #Data Architecture #Qlik #BI (Business Intelligence) #Tableau #Microsoft Power BI #Cloud
Role description
Senior Data Analyst/Scientist - Power BI - sought by investment bank based in London - Contract - Hybrid
• inside IR35 - umbrella
• Essential:
• Proven experience in a Data Analysis or Science
• Strong understanding of front-office trading, risk, or market data(not back-office finance or regulatory reporting).
• Proficiency in SQL and at least one programming language (e.g., Python, Scala).
• Experience with BI tools such as Power BI, Tableau, or Qlik.
• Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and modern data architectures.
Desirable:
• Background in financial services, particularly within investment banking or asset management.
• Experience working with time-series data and real-time data processing.
• Knowledge of risk metrics (VaR, Greeks, PnL attribution) and trading instruments (equities, derivatives, FX, etc.)
Please apply within for further details - Matt Holmes, Harvey NashAlways use these settings
Senior Data Analyst/Scientist - Power BI - sought by investment bank based in London - Contract - Hybrid
• inside IR35 - umbrella
• Essential:
• Proven experience in a Data Analysis or Science
• Strong understanding of front-office trading, risk, or market data(not back-office finance or regulatory reporting).
• Proficiency in SQL and at least one programming language (e.g., Python, Scala).
• Experience with BI tools such as Power BI, Tableau, or Qlik.
• Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and modern data architectures.
Desirable:
• Background in financial services, particularly within investment banking or asset management.
• Experience working with time-series data and real-time data processing.
• Knowledge of risk metrics (VaR, Greeks, PnL attribution) and trading instruments (equities, derivatives, FX, etc.)
Please apply within for further details - Matt Holmes, Harvey NashAlways use these settings
