Lazard Asset Management operates in 41 cities across 26 countries. Our investment personnel manage over US $200 billion across a wide range of global, regional and country-specific strategies - both traditional and alternative - in listed equity and fixed income. At Lazard Asset Management, we pride ourselves in balancing the feel of a small firm with the scale of a large global organization. Our entrepreneurial culture and flat management structure foster an environment in which good ideas can take flight, no matter where they come from.

Our team of quantitative equity portfolio managers/researchers is looking for a senior quantitative researcher with strong experience in portfolio construction and optimization. The candidate should be able to deliver complex projects and perform research both as part of a team and independently. Ideally, they would have a strong programming background and interest in Equity Markets. Experience with machine learning and alternative data is a plus.

We'll trust you to:

Conduct in-depth research of ideas and hypotheses originating within the team or in academia
Enhance current portfolio construction tools
Build quantitative factor models based on both traditional financial data and non-traditional data source using the methods such as time series analysis, regression, network analysis, machine learning and Natural Language Processing
Validate the quantitative models performance using accounting data
Develop and maintain code used for developing and implementing quantitative models in R and Python

You'll need to have:

Extensive experience with portfolio construction and optimization
Excellent programming skills (R/Python/Matlab but other language considered)
Extensive programming experience
Experience with Machine Learning and unstructured data
Strong interest in Equity markets, knowledge of academic work in the quantitative equity models preferred
Experience with of portfolio construction methods and optimisers
Ability to understand and communicate complex ideas

Senior Quantitative Researcher