Senior Quantitative Researcher, PM Engagement

Balyasny Asset Management L.P.; Hong Kong; On-site; HKD 1,200,000 - 2,400,000; Full time

Job summary

Balyasny Asset Management L.P. seeks a Senior Quantitative Researcher in Hong Kong to engage with equity PMs on portfolio construction and investment processes. You will develop quantitative models, analyze risk and returns, and share insights with PMs and management.

The role emphasizes communicating complex analytics clearly, driving improvements in profitability and scalability of equity strategies, and collaborating across Risk, Data, Product and Engineering to deliver scalable tools.

Qualifications

• 5+ years on a team with equity risk/portfolio analytics experience.
• Strong programming for quantitative analysis.
• Python skills including time series analysis and data management.
• Experience with SQL for data access and management.
• Proficiency with software development tools such as GitHub.
• Excellent communication and presentation for PMs.
• Outstanding written and oral communication.
• Interest in learning from investment experts and feedback.
• Understanding of quantitative research and investing.
• Advanced degree in sciences/math/quantitative discipline.
• Experience implementing statistical models.
• Understanding of factor models and their applications.
• Attention to detail and entrepreneurial mindset.
• Ownership mindset to grow the business.
• Passion for investing and equity strategies.

Responsibilities

• Collaborate with equity PMs on portfolio construction and process.
• Develop quantitative models for risk and performance analysis.
• Analyze profitability and scalability of equity strategies.
• Provide insights on drivers of P&L and best practices.
• Communicate analytics through meetings, presentations, and docs.
• Guide PMs on tools, concepts, and analytics for hedging.
• Deliver complex projects with multiple stakeholders.
• Collaborate across Risk, Data, Product and Engineering teams.

Skills

Python

SQL

Time series analysis

Data analysis

Risk analytics

Portfolio construction

Statistical analysis

Communication

Presentation skills

GitHub

Education

PhD or Masters in quantitative discipline

Tools

GitHub

Job description

ROLE OVERVIEW

PM 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.

Senior Quantitative Researcher Responsibilities

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 excellent communication 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.

• 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 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
• Respond to analytical questions from portfolio managers and senior management related to risk, portfolio construction, investment process
• Relationships 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 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
• 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.

• 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 role
• Strong programming skills for quantitative analysis
• Strong Python skills – including prior experience with time series analysis, managing data, and contributing to internal analysis libraries in Python
• Experience with SQL for managing and accessing data
• Proficiency with software development process and tools such as GitHub
• 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
• Superior quantitative skills demonstrated through an advanced degree (PhD or Masters) in sciences/ math/ quantitative discipline and/ or practical experience applying quantitative finance theory
• Experience implementing statistical models
• Understanding of factor models and their applications
• 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