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Quant Equity Risk Analyst
BAM
New York, NY, United States
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The Job Details are as follows:
ROLE OVERVIEW
The Risk and PM Development Team is responsible for risk management for the firm, and for identifying and sharing best practices in the management of fundamental portfolios. Areas of analysis include risk factors, portfolio construction, trading analysis and performance attribution.
In the role of quantitative analyst on the Risk Team, the employee will be responsible for the following:
• Initiating and executing on equity related risk/ portfolio construction research and analysis projects, both independently and collaboratively. Potential topics include: risk research, alpha/factor research, performance analytics, and quantitative development
• Analyzing, interpreting, and summarizing risk & performance data and analysis results to identify key take-aways and make actionable recommendations
• Build and enhance risk & analytics infrastructure for Risk and PM Development team
• Working on requests, questions, and studies for Risk team and BAM Portfolio Managers Working on requests and studies for the BAM Investment Committee
• Periodic travel to regional offices may be required
QUALIFICATIONS & REQUIREMENTS:
In order to effectively represent the Company and communicate with PMs and firm leadership, the employee must be someone who has:
• Quantitatively savvy with strong analytical/problem solving skills:
Either demonstrated 1- 5 year work experience in quantitative focused research/ analysis or computer science/ mathematics/ engineering degree (Masters preferred) with strong performance in courses in statistics, econometrics, calculus, linear algebra, financial mathematics, and/ or time series analysis course-work
• Technical Skills - Strong Python and SQL skills and ability confidence in data analysis using these tools is a must. The candidate must show proficiency in coding and regularly (daily) work with Python to perform analysis.
• Attention to detail – takes ownership of projects, strong focus on quality, correctness, and intuitiveness of output.
• Problem Solving –the candidate must be able to solve quantitative, technical, or programming problems and engineer solutions to financial problems. They should show problem solving abilities, be apply quantitative concepts and models to new situations, be interested in learning and applying about new concepts.
• Motivated, hard-working, self-starter (will-do attitude); ability to multi-task and quickly iterate on technical problems
• Interest in understanding of fundamental equity risk and portfolio construction
• Communication ability – Strong communication skills are an asset.
EDUCATION, TRAINING & EXPERIENCE:
• 1-5 years experience
• Quantitatively focused degree (Master’s) with minimum 3.7/4.0 or equivalent GPA
• Demonstrated coursework or technical experience showing ability solve technical problems and perform data analysis with Python