Location: Hong Kong, LondonDepartment: Portfolio Management DevelopmentExperience Level: Experience ProfessionalsContact: Emily HongJob ID: REQ8042Balyasny Asset Management L.P. (BAM) is a global institutional investment firm. We strive to deliver consistent, uncorrelated, absolute returns in all market environments by fostering a culture of research, innovation, and collaboration.BAM exists at the intersection of finance and technology, combining the deep industry knowledge of leading portfolio managers and financial analysts with software engineers and quantitative researchers. We leverage the collective expertise of our teams to seek out new investment opportunities, analyze market conditions, minimize risk, and provide superior service to our investment partners.With 2,000+ people in offices around the world, we embrace a culture that welcomes the free flow of ideas, promotes career development, and supports the health and wellbeing of our people through world-class benefits.ROLE OVERVIEWPM Engagement coaches equity Portfolio Managers with a specific focus on portfolio construction, 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 Senior 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. Leveraging his or her excellent communications skills and deep understanding how investment process, portfolio construction and analytics impact outcomes, 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.The successful candidate should be passionate about equity investing with experience in Long/Short or alternative equity strategies, and 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 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, the employee will be responsible for the following:Improving profitability and scalability of the equities business at BAM by working directly with PMs to drive performance and scale; supporting tailored analysis with quantitative research and a deep understanding of the investment process.Research: Develop models for analysis of investment process, portfolio construction, risk and return attribution for strategiesUnderstand team investment processes and how to capture and analyze relevant dataDevelop 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 returnsPropose and substantiate new research ideas that can be delivered to Portfolio Managers/ BusinessRespond to analytical questions from portfolio managers and senior management related to risk, portfolio construction, investment processRelationships and Advising: Managing relationships with Portfolio Managers and work with them to grow and improve profitability of their business. Functioning as a representative of equity risk, interface with PMs. Ensure that views / themes are accurately represented within portfoliosEncourage dialogue / communication around analytics and offensive risk taking as well as risk guidelinesCommunicate 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 managementGuide PMs on use of tools, concepts and leveraging resources/ analytics and insights to improve their process, portfolio construction/ hedgingProject 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/ risksDeliver complex projects with multiple stakeholdersProvide feedback on tools and help provide specifications for new toolsQualifications: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:5+ 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 roleStrong programming skills for quantitative analysisStrong Python skills – including prior experience with time series analysis, managing data, and contributing to internal analysis libraries in PythonExperience with SQL for managing and accessing dataProficiency with software development process and tools such as GitHubExcellent communication/ presentation skills, confidence, and ability to influence, coach, educate fundamental PMsOutstanding written and oral communication skillsInterest in learning from other investment experts, using feedback to improve analysis and understanding of strategiesUnderstanding of quantitative research & investingSuperior quantitative skills demonstrated through an advanced degree (PhD or Masters) in sciences/ math/ quantitative discipline and/ or practical experience applying quantitative finance theoryExperience implementing statistical modelsUnderstanding of factor models and their applicationsAttention to detail and passion/ grit for getting things done, digging into problems, and helping develop solutionsSense of ownership and entrepreneurialism to grow the businessPassion for investing / economics / stock market = Desire to work with portfolio teams focused on equity strategies
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