Quantitative Analyst / Asset Management

Role Description

This is an analytical role for a Quantitative Analyst / Asset Management professional responsible for supporting investment analysis, portfolio evaluation, and quantitative research to inform data-driven asset management decisions. The role involves analyzing financial and market data, building and maintaining quantitative models, and evaluating portfolio performance across multiple asset classes. Responsibilities include conducting statistical analysis, identifying market trends, supporting risk assessment activities, and preparing research reports and investment insights for decision-making. Additional duties include monitoring financial indicators, developing and refining analytical frameworks, collaborating with investment and research teams, and supporting the automation of reporting and data processes. The position requires strong analytical thinking, attention to detail, and the ability to handle complex datasets in a fast-paced financial environment.

Qualifications

• Strong understanding of quantitative analysis, asset management principles, and financial modeling techniques

• Knowledge of statistical methods, portfolio analysis, and investment research frameworks

• Ability to analyze large datasets and interpret complex financial information effectively

• Strong analytical and problem-solving skills with high attention to detail and accuracy

• Familiarity with spreadsheets, statistical tools, financial databases, and data visualization platforms

• Ability to build and maintain quantitative models for investment and risk analysis

• Strong communication and collaboration skills for working with research and investment teams

• Understanding of financial markets, portfolio construction, and risk management concepts is an advantage

• Ability to manage multiple analytical projects and deadlines efficiently

• Strong organizational skills with the ability to maintain accurate research and data records

• Professional attitude, adaptability, and commitment to delivering high-quality analytical insights

• • Bachelor's degree or diploma in Finance, Economics, Mathematics, Statistics, Data Science, or a related field is preferred