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Job description
Senior Quantitative Researcher, PM Engagement
Role Overview: PM Engagement applies quantitative expertise to maximize the scalability and profitability of Portfolio Managers. In this role, you will work with Portfolio Managers in the fundamental equity long/short business on portfolio construction and risk management topics, providing analytics and insights into their portfolio and process. You will also conduct research on topics including equity portfolio analytics, factor/factor model research, and analysis of best practices in portfolio construction and implementation.
The Senior Quantitative Researcher, PM Engagement, will serve as an expert advisor to the firm's Portfolio Managers as well as senior leadership of BAM's Equity business. They will be expected to contribute to the development of quantitative models for the analysis of portfolio risk & performance for strategies, including alternative equity strategies. He or she will be responsible for developing models, conducting analysis, and sharing insights on drivers of P&L, best practices, and portfolio construction concepts with portfolio managers and business management, by leveraging their excellent communications skills and deep quantitative understanding of how investment process, portfolio construction and analytics impact outcomes.
The successful candidate should be passionate about equity investing, with prior experience in Long/Short or alternative equity strategies; possess advanced quantitative abilities and strong analytical skills; and be able to explain quantitative concepts and recommendations to other investment professionals. They will demonstrate a strong sense of urgency and ownership, and an ability to generate and execute creative ideas as the team builds analytics and tools to support and grow the business.
Responsibilities:
Research: Develop models for analysis of investment process, portfolio construction, risk and return attribution for strategies
Understand team investment processes and how to capture and analyze relevant data
Develop analysis supported by data for individual teams and/or using data across the business to provide analysis on best practices, insights, and areas to improve risk-adjusted returns
Propose and substantiate new research ideas that can be delivered to Portfolio Managers/Business
Relationships and Advising: Managing relationships with Portfolio Managers and working with them to grow and improve profitability of their business
Ensure that views/themes are accurately represented within portfolios
Encourage dialogue/communication around analytics and offensive risk taking as well as risk guidelines
Communicate analysis and recommendations clearly through face-to-face meetings, presentations and written documentation with global PM teams focused on equity strategies, as well as business management
Guide PMs on use of tools, concepts and leveraging resources/analytics and insights to improve their process, portfolio construction/hedging
Respond to analytical questions from portfolio managers and senior management related to risk, portfolio construction, investment process
Guide risk takers on the best practices in portfolio construction and factor management, and educate them about our in-house custom fundamental factors
Project Ownership: Collaborate with other Quantitative Researchers across Execution Research, Risk Research, Internal Alpha Capture, Data, Product and Engineering teams on accessing data sets and developing tools that improve Portfolio Managers or Business efficiency, profitability, and understanding of portfolio/risks
Deliver complex projects with multiple stakeholders
Provide feedback on tools and help provide specifications for new tools
Maximize monetization of the team's research findings
Qualifications:
7+ years of experience working on a team with experience understanding risk/portfolio construction and analytics related to equity Long/Short or other alternative equity strategies, including at least 2 years of direct interaction with risk takers or in a risk taking role.
Strong programming skills for quantitative analysis
Proven advanced Python skills – including knowledge of analytical libraries, structuring navigating complex codebases, and best practices for conducting production-grade research. Experience developing web-based dashboards and using cloud infrastructure is desirable.
Experience with SQL and APIs for managing and accessing data
Outstanding written and oral communication/presentation skills, confidence, and ability to influence, coach, educate fundamental PMs
Interest in learning from other investment experts, using feedback to improve analysis and understanding of strategies
Understanding of quantitative research & investing
B.S. in Engineering, Physics, Statistics, Applied Mathematics, Computer Science or Operations Research. CFA, M.S. or Ph.D. are a plus.
Proven ability to produce quantitative models in real-world applications
Essential knowledge of Statistics and probability: linear models, hypothesis testing, Bayesian statistics
Deep exposure to at least one investment style/asset class
Attention to detail and passion/grit for getting things done, digging into problems, and helping develop solutions
Sense of ownership and entrepreneurialism to grow the business
Passion for investing / economics / stock market
Desire to work with portfolio teams focused on equity strategies
Worksite address
greenwich, NY, 12834, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.