Quantitative Researcher, PM Engagement

PM Engagement coaches equity Portfolio Managers with a specific focus on portfolio construction, risk/factor management, provides analytics and insights into their portfolio and process, and helps them grow their business to be successful/ profitable at BAM. The team works with teams across fundamental long/ short equity, index arbitrage, and merger arbitrage strategies. The team is involved in research on topics including equity portfolio analytics, factor/ factor model research, and analysis of best practices in the portfolio construction/ investment process.

The Quantitative Researcher, PM Engagement, is responsible for working with equity PMs on their portfolio construction and investment

process, helping them understand their risk taking and improve their profitability and scalability. The researcher will be expected to contribute to the development of quantitative models for the analysis of portfolio risk & performance for strategies, including alternative equity strategies. The researcher 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 understanding of how investment process, portfolio construction and analytics impact outcomes,

The successful candidate should be passionate about equity investing with experience in Long/Short or alternative equity strategies, possess advanced quantitative abilities, strong analytical skills, and be a strong communicator able to explain quantitative concepts and recommendations to other investment professionals. They will demonstrate a strong sense of ownership and an ability to generate and execute creative ideas as the team builds analytics and tools to support and grow the business.

In the role of Quantitative Researcher, PM Engagement, the employee will be responsible for the following:

• 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 Risk & Development, 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

Qualifications:

The candidate must be able to demonstrate expertise in quantitative analysis techniques including statistical analysis, experience working with market data and large data sets programmatically, and strong analytical skills.

Additionally, the candidate should have experience with financial data and equity investment strategies including risk, performance attribution, and investment process.

Key qualifications include:

• 3 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 Python skills – including working knowledge of analytical libraries and of complex codebases. Knowledge of at least another language is preferable.
• Experience with SQL for managing and accessing data
• Excellent communication/ presentation skills, confidence, and ability to influence, coach, educate fundamental PMs
• Outstanding written and oral communication skills
• 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, Computer Science or Operations Research. M.S. or Ph.D. are a plus.
• Proven ability to produce quantitative models in real-life 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

With respect to NY and CA based applicants, the starting base pay range for this role is between $175000 and $225000 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.