Job Summary

Data Analysts are responsible for collecting, processing, analyzing, and interpreting financial market data to support decision-making and trading strategies. The Data Analyst works closely with traders, portfolio managers, and research teams to provide insights into market trends, asset performance, and investment opportunities. They should have strong analytical skills, experience with financial data sources and tools, and a deep understanding of the dynamics of financial markets.

Market Data Collection & Management

• Collect and aggregate financial data from a variety of sources including stock exchanges, market feeds, financial news, and third-party providers
• Manage and organize large datasets related to asset prices, volume, volatility, and other key market indicators
• Ensure data accuracy and integrity through regular checks and validation procedures
• Develop and maintain databases for storing and retrieving historical market data

Data Analysis & Reporting

• Analyze market trends, price movements, and economic indicators to identify trading opportunities and risks
• Conduct performance analysis of financial assets, including stocks, bonds, commodities, derivatives, and currencies
• Prepare and present daily, weekly, and monthly reports on market conditions, asset performance, and key financial metrics
• Provide actionable insights into market behavior and trends to assist trading and investment teams in decision-making

Financial Market Modeling & Forecasting

• Build and maintain quantitative models to forecast asset prices, returns, and volatility based on historical data and market indicators
• Support portfolio managers and traders with statistical analysis and modeling techniques such as time-series analysis, regression models, and Monte Carlo simulations
• Create risk models to assess the potential impact of market movements on portfolios and investments
• Collaborate with quantitative analysts to improve predictive models and refine forecasting techniques

Market Research & Financial Intelligence

• Conduct in-depth research on market events, news, and financial reports to provide context to market data and assess potential impacts on investment decisions
• Monitor global financial markets, including equities, fixed income, foreign exchange, and commodities, to keep up with changing conditions
• Provide summaries and insights on market movements and trends, keeping stakeholders informed of significant developments

Risk & Performance Analysis

• Analyze portfolio risk and performance metrics, using statistical tools to evaluate returns, volatility, and correlations between assets
• Assist with performance attribution analysis to understand the drivers of portfolio returns and how market factors contribute to overall performance
• Help identify and assess potential market risks, such as liquidity risk, interest rate risk, or geopolitical events, and their effects on financial markets

Automation & Process Improvement

• Automate routine data extraction, analysis, and reporting tasks using tools such as Python, R, SQL, or VBA
• Identify opportunities for improving data workflows, reducing manual tasks, and enhancing the efficiency of data processing
• Work closely with IT teams to implement automation solutions and ensure smooth data integration between various platforms

Collaboration & Stakeholder Engagement

• Work closely with traders, portfolio managers, quantitative analysts, and senior leadership to provide insights that support trading strategies and investment decisions
• Collaborate with technology teams to optimize data infrastructure and ensure reliable access to real-time and historical market data
• Assist in preparing reports and presentations for internal and external stakeholders, including clients, senior management, and regulators

Technical Skills

• Proficiency in Excel, including advanced features like pivot tables, advanced formulas, and financial functions
• Strong knowledge of programming languages such as Python, R, or MATLAB for data analysis, financial modeling, and automation
• Experience with SQL for querying and managing large datasets from databases
• Knowledge of data visualization tools (e
g, Tableau, Power BI) and creating dynamic financial dashboards
• Familiarity with statistical analysis and financial modeling techniques, including regression analysis, time-series modeling, and portfolio theory

Analytical & Problem-Solving Skills

• Strong quantitative skills with the ability to conduct complex financial analysis, identify trends, and derive actionable insights
• Experience in identifying data discrepancies, performing quality checks, and ensuring data integrity
• Ability to work with large, complex datasets and translate them into meaningful conclusions for stakeholders