Master’s Degree or foreign equivalent in Quantitative Finance, Finance, Economics, or a related field
48 months of experience in the job offered or as Research Analyst, Business Analyst, or closely related role
Four years of experience in: Managing risk of portfolios
Four years of experience in: Statistics and statistical techniques including regression analysis, descriptive analysis, and quantitative analysis
Four years of experience in: Leveraging market and investment risk management for various financial products and markets including credit, derivatives, equity, and fixed income investment products
Four years of experience in: Defining the methodology and implementing code in SQL and Excel for data analysis
Four years of experience in: Writing Python Code using libraries including Pandas, Numpy, DateTime, OpenPyXL, YAML, and XLSXWriter
Four years of experience in: Implementing data science, automation, and machine learning techniques to analyze large data sets
Four years of experience in: Analyzing financial market trends and portfolio constituents to assist portfolio managers with portfolio construction
Four years of experience in: Creating risk oversight framework for separately managed accounts
Ability to analyze equity risk factor models with Barra
Ability to analyze fixed income factor models
Ability to identify risk, return, and high return outliers
Ability to interpret and analyze risk data, including statistical analysis, to accurately convey the significance of risks to internal and external stakeholders
Responsibilities
Act as a Risk Manager for BlackRock’s Separately Managed Accounts (SMA) Solutions, overseeing risk-taking and portfolio positioning
Conduct in-depth risk analysis on model portfolios and client accounts, evaluating risk decomposition, performance attribution, and market sensitivity
Apply quantitative techniques to enhance portfolio risk management and collaborate with portfolio managers to address anomalies
Assist in portfolio construction, optimizing asset allocation, conducting stress testing, and rebalancing strategies
Lead risk review meetings, offering insights on risk and performance
Develop and implement scalable risk oversight frameworks using Python, R, SQL, Excel, and MS Suite
Provide robust risk oversight for SMA client portfolios using automated risk analytics
Design and maintain dashboards to flag portfolio outliers
Deliver regular and ad-hoc risk reports, ensuring robust risk governance