Quantitative Research Associate

Role Overview

PM Development team aims to maximize profitability and scalability of the Equity business. We work with Portfolio Managers with a focus on portfolio construction, providing analytics and insights into their portfolio and process to help them be successful and profitable at BAM. The team collaborates with global equity teams across fundamental long/short equity, index arbitrage, and merger arbitrage strategies. The team conducts research on equity topics including portfolio analytics, factor research, and analysis of best practices in portfolio construction and investment processes.

Responsibilities

• Conduct quantitative research and analysis on projects relating to equity risk, investment process, trading, and portfolio construction, working alongside and under mentorship of Senior Quantitative Researchers.
• Develop insights and actionable recommendations; support implementation of tools related to managing processes and as products of quantitative research; monitor processes related to portfolio/firm risk exposures, investment process, and portfolio construction.
• Use Python/SQL for exploratory data analysis, modeling, visualization, performance evaluation, and report generation.
• Develop a deeper understanding of fundamental factor models, quantitative finance techniques, and the fundamental investment process to apply in projects and daily processes.
• Optimize current team analytics by redesigning workflows and improving code efficiencies.
• Work with a variety of investment-related internal, external, and alternative equity data sets to gain investment insights to share with users.
• Help support various critical business tools and processes for Equity Platform Management & Risk Management functions.

Qualifications & Requirements

To effectively represent the firm and communicate with stakeholders, the candidate should have:

• Preferably 1-2+ years of experience in a related field. Open to a recent graduate of a PhD or MS program in Engineering, Quantitative Finance, Financial Engineering, Economics, Mathematics, Statistics, or a related field.
• Preferably an MS degree in Engineering, Mathematics, Statistics, Physics, Quantitative Finance, Financial Engineering, Economics, or another highly quantitative field.
• Strong academic record, broad extracurricular interests, and a passion for financial markets.
• Strong programming skills (Python and SQL required; additional languages such as R or C++ are a plus).
• Solid knowledge of probability, statistics, time series analysis, and linear algebra.
• Prior experience in a data-driven research environment.
• Experience with portfolio management, financial portfolio construction, risk models, and concepts such as TCA/transaction costs and market impact models, or related quantitative methods is a plus.
• Experience translating mathematical models and algorithms into code.

Candidate Profile

• Comfortable working with complex and large datasets.
• Independent research experience or demonstrated proficiency in statistical methods and strong analytical problem-solving skills.
• Result-driven, able to work under pressure, and collaborative within a team.
• High professionalism in all situations with the ability to prioritize and manage multiple tasks to meet deadlines.
• Clear communication of complex ideas; strong analytical, writing, verbal, and technical skills.
• Excellent attention to detail and strong organizational skills.
• Pragmatic with a can-do attitude toward real-world investment problems.

With respect to NY, CA, and IL-based applicants, the starting base pay range for this role is between USD and USD annually. The actual base pay is dependent upon several factors, including, but not limited to, relevant experience, business needs, and market demands. This role may also be eligible for bonus compensation and employee benefits.