Senior Quantitative Researcher, PM Engagement - Equities

Balyasny Asset Management L.P.; New York (NY); On-site; USD 180,000 - 280,000; Full time

Job summary

Balyasny Asset Management L.P. in New York seeks a Senior Quantitative Researcher for PM Engagement.

You will develop models for portfolio construction, risk, and attribution, and serve as an expert advisor to Portfolio Managers and senior leadership of the Equity business. The role requires advanced quantitative abilities, strong analytical skills, and the ability to explain complex concepts to investment professionals.

Qualifications

• 7+ years of experience in equity Long/Short or alternative equity strategies with risk/portfolio analytics.
• Proven Python skills, including production-grade research.
• Experience with SQL and APIs for data access.
• Strong communication and ability to influence and educate portfolio managers.
• Background in quantitative research and investing with exposure to portfolio construction/risk for equity strategies.

Responsibilities

• Research: develop models for investment process, portfolio construction, risk and attribution.
• Advising: communicate insights clearly to Portfolio Managers and senior management; guide use of tools and analytics.
• Project Ownership: lead cross-team collaborations to deliver analytics tools and improve profitability.
• Other: respond to analytical questions and promote best practices in risk management and factor modeling.

Skills

Python

SQL

APIs

communication/presentation skills

quantitative research & investing

Education

B.S. in Engineering/Physics/Statistics/Applied Math/CS

CFA / M.S. / Ph.D. (plus)

Job description

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.

In the role of Senior Quantitative Researcher, PM Engagement, you 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 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.
• 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
• 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