Data Analyst

Job Summary

We are seeking a motivated Data Analyst to join our financial services analytics team. In this role, you will transform raw financial data into actionable insights that inform risk management, portfolio performance, and regulatory reporting. You will collaborate closely with traders, compliance officers, and senior analysts to deliver high‑quality, data‑driven recommendations.

Key Responsibilities

• Collect, clean, and validate large datasets from internal trading systems, market feeds, and regulatory databases.
• Develop and maintain automated dashboards in Power BI and Tableau to monitor key risk metrics such as VaR, liquidity coverage ratios, and exposure limits.
• Perform ad‑hoc statistical analyses and predictive modeling using Python (pandas, scikit‑learn) to forecast market trends and identify pricing anomalies.
• Collaborate with the compliance team to generate accurate reports for Basel III, Dodd‑Frank, and MiFID II filings.
• Document data sources, transformation logic, and analytical methodologies in a centralized repository to ensure reproducibility and auditability.

Required Qualifications

• 1–2 years of experience in data analysis or business intelligence within a financial services environment.
• Proficiency in SQL for data extraction and manipulation from relational databases (e.g., Oracle, PostgreSQL).
• Strong analytical mindset with the ability to translate complex financial concepts into clear, actionable insights.
• Excellent written and verbal communication skills, capable of presenting findings to both technical and non‑technical stakeholders.

Preferred Qualifications

• Experience with financial risk analytics, such as Value at Risk (VaR) or stress testing frameworks.
• Knowledge of regulatory reporting requirements in the U.S. (e.g., FR Y-14, FR Y-15) or European markets.
• Familiarity with cloud data platforms (AWS Redshift, Azure Synapse) and data warehousing best practices.

Required Skills

• Advanced SQL querying and performance tuning.
• Data visualization using Power BI and Tableau.
• Statistical analysis and modeling in Python (pandas, NumPy, scikit‑learn).
• Data cleansing and ETL pipeline development.
• Understanding of financial instruments (equities, derivatives, fixed income).
• Experience with version control (Git) and documentation tools (Confluence).
• Basic knowledge of Excel functions, including Power Query and VBA.
• Strong problem‑solving skills and attention to detail.

Education

Bachelor’s degree in Finance, Economics, Statistics, Computer Science, or a related quantitative field.

Benefits

• Competitive salary with annual performance bonuses.
• Comprehensive health, dental, and vision insurance plans.
• 401(k) retirement plan with company match.
• Professional development stipend and access to industry conferences.