Financial Data Market Analyst
A highly analytical Financial Data Market Analyst is sought to join their team. In this role, the successful candidate will be central to the quantitative research process, responsible for sourcing, evaluating, and integrating the diverse datasets that power the firm's AI-driven investment strategies.
Key Responsibilities:
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Identify, evaluate, and procure new and alternative data sources (e.g., sentiment, fundamental, macroeconomic, ESG).
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Clean, normalize, and validate large-scale financial and alternative datasets for accuracy and reliability.
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Conduct rigorous back-testing and analysis to determine the predictive value and alpha potential of data sets.
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Collaborate with quantitative researchers and AI developers to integrate data insights into live trading models.
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Monitor data feeds and market signals in real-time to ensure data integrity and identify anomalies or new opportunities.
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Stay abreast of emerging trends, vendors, and technologies in the financial data landscape.
Ideal Candidate Profile:
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Proven experience in a data-focused role within finance (e.g., buy-side, sell-side, or a data vendor).
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Strong understanding of financial markets and different asset classes.
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Proficiency with data analysis tools such as Python, SQL, and/or R for manipulating and analyzing large datasets.
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Meticulous attention to detail and a passion for data quality and problem-solving.
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Excellent communication skills to articulate complex data findings to technical and non-technical teams.
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A degree in Finance, Economics, Data Science, Statistics, or a related quantitative field.