Future Standard is seeking a Data Analyst to bridge data analytics and investment operations, focusing on liquidity management, valuation oversight, portfolio reporting, and process improvement within the asset management industry.
Requirements
- Proficiency in SQL and Python (Pandas, NumPy, Matplotlib/Seaborn)
- Solid understanding of relational databases (e.g., PostgreSQL, MySQL, SQL Server)
- Experience with data visualization tools such as Power BI or Tableau
- Experience with database management or NoSQL solutions (e.g., MongoDB)
- Understanding of ETL pipelines or process automation tools
- Knowledge of statistics or machine learning concepts
Responsibilities
- Design, develop, and maintain SQL queries, stored procedures, and Python scripts for data extraction, cleaning, transformation, and analysis.
- Build and maintain reports and dashboards (e.g., in Power BI or Tableau) to visualize key metrics and trends.
- Compile and prepare periodic and ad hoc reports, including Board materials and internal reporting packages.
- Support the onboarding of new portfolios, funds, and counterparties by building scalable data workflows.
- Analyze large datasets to identify trends, anomalies, or data quality issues, and recommend solutions.
- Automate manual data processes and contribute to the continuous improvement of operations workflows and reporting.
- Use AI-based tools for testing automation and regression validation.
Other
- Collaborate with front, middle, and back-office teams to ensure accurate data flow and governance across portfolios.
- Act as a subject matter expert for all activity within the portfolio, assisting with inquiries from internal and external stakeholders.
- Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field
- 1–2 years of professional experience or relevant internships in a data analyst, investment operations or similar role
- Strong analytical skills and attention to detail
