Senior Quantitative Research Analyst

Key Skills

Data science techniques, Finance, Machine learning techniques, NumPy, Pandas, Scikit-learn

Job Description

Responsibilities:

• Lead the design & build of a quantitative research system supporting investment decisions for commercial real estate portfolios allocating billions of dollars in AUM
• Design, develop and implement portfolio optimizers for real estate markets.
• Find the needle in the haystack - identify the signals that are most descriptive and predictive of market performance.
• Train time series forecasting and cross-sectional ranking models across hundreds of geographies and property types. Use these data-driven views to construct risk-efficient model portfolios.
• Help the team build automated processes to support the quant research system using best practices in data engineering, cloud computing, and software development.
• Communicate complex quantitative ideas & insights to investment teams (analysts, PMs, underwriters, etc.) to improve adoption of solutions delivered by the data science team.
• Scope, lead, and execute research projects with clearly defined deliverables and timelines. Provide input to leadership to support development of a long-term roadmap.

Qualifications:

• MS/Ph.D. in a quantitative discipline (math, statistics, computer science, engineering, finance)
• Minimum of 6 years of experience in quantitative research and portfolio optimization.
• Mastery of probability, statistical inference, time series forecasting, and machine learning (ML). You can differentiate signal from noise and avoid common pitfalls of applying ML to noisy datasets.
• Proficient in python and common data science libraries (e.g. pandas, numpy, scikit-learn)
• Proficient in the basics of data engineering. You can load data into a warehouse, design and build simple database models, and write moderately complex SQL queries to power your research.

Preferred Experience:

• Experience in quant research applied to financial markets and investing. Real estate experience a plus, but not required.
• You have built end-to-end portfolio optimizers in a multi-asset or multi-sector context and have diversified by geography, e.g., optimization of a municipal bond portfolio diversified by geography of different municipalities.
• Experience with Black-Litterman and other top-down approached as well as hierarchical and other bottom-up portfolio optimizations including ML techniques.
• Proficient with cloud computing in Azure, working with virtual machines, serverless functions, cloud storage, data pipelines, etc.

Job Level - Individual Contributor

Work Shift Timing - 2:00 PM - 11:00 PM IST

Clarion Partners is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and existing employees, and we evaluate qualified applicants without regard to ancestry, age, color, disability, genetic information, gender, gender identity, or gender expression, marital status, medical condition, military or veteran status, national origin, race, religion, sex, sexual orientation, and any other basis protected by federal, state, or local law, ordinance, or regulation.

By joining us, you will become part of a culture that focuses on employee well-being and provides multidimensional support for a positive and healthy lifestyle. Clarion Partners offers generous benefits designed with the health and financial welfare of our employees and their families in mind, including highly competitive and expansive health care coverage, a comprehensive 401K, company-sponsored volunteer opportunities, individual volunteer time off, parental leave and childcare programs, as well as other benefits and discount purchase programs.