Quantitative Associate

Loomis Sayles is a performance-driven active asset management company seeking a Quantitative Associate to assist in providing quantitative support to fundamentally driven investment processes and portfolio management teams. The role requires knowledge of various credit and equity strategies, and the ability to develop and maintain quantitative models. The position is part of the Applied IQ team, which works collaboratively with investment teams throughout the firm.

Requirements

• Degree in Computer Science, Data Science, or Engineering
• 2+ years of work experience in an analytical capacity
• Hands-on programming skills along with a passion for investing in the financial markets
• Experience with AI/Machine Learning algorithms and implementation
• Demonstrated ability to conduct data analysis - strong Data Science, data visualization skills
• Excellent communication skills
• Self-driven, highly accountable, resourceful and independent thinker
• Curious and entrepreneurial mindset
• Ability to “think outside the box” and to approach quantitative problems from a unique perspective
• Team orientation and the ability to build widespread credibility with a proactive and open-minded attitude

Benefits

• Competitive and equitable compensation
• Discretionary annual incentive award
• Comprehensive benefits package